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You searched for subject:(robot learning). Showing records 1 – 30 of 284 total matches.

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Georgia Tech

1. Bullard, Kalesha. Managing learning interactions for collaborative robot learning.

Degree: PhD, Interactive Computing, 2019, Georgia Tech

 Robotic assistants should be able to actively engage their human partner(s) to generalize knowledge about relevant tasks within their shared environment. Yet a key challenge… (more)

Subjects/Keywords: Interactive robot learning; Active learning

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APA (6th Edition):

Bullard, K. (2019). Managing learning interactions for collaborative robot learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62294

Chicago Manual of Style (16th Edition):

Bullard, Kalesha. “Managing learning interactions for collaborative robot learning.” 2019. Doctoral Dissertation, Georgia Tech. Accessed April 11, 2021. http://hdl.handle.net/1853/62294.

MLA Handbook (7th Edition):

Bullard, Kalesha. “Managing learning interactions for collaborative robot learning.” 2019. Web. 11 Apr 2021.

Vancouver:

Bullard K. Managing learning interactions for collaborative robot learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1853/62294.

Council of Science Editors:

Bullard K. Managing learning interactions for collaborative robot learning. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62294


Georgia Tech

2. Rana, Muhammad Asif. Methods for Teaching Diverse Robot Skills: Leveraging Priors, Geometry, and Dynamics.

Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech

 Functioning in the real world requires robots to reason about and generate motions for execution of complex tasks, in potentially unstructured and dynamic environments. Early… (more)

Subjects/Keywords: learning from demonstration; robot learning

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APA (6th Edition):

Rana, M. A. (2020). Methods for Teaching Diverse Robot Skills: Leveraging Priors, Geometry, and Dynamics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64106

Chicago Manual of Style (16th Edition):

Rana, Muhammad Asif. “Methods for Teaching Diverse Robot Skills: Leveraging Priors, Geometry, and Dynamics.” 2020. Doctoral Dissertation, Georgia Tech. Accessed April 11, 2021. http://hdl.handle.net/1853/64106.

MLA Handbook (7th Edition):

Rana, Muhammad Asif. “Methods for Teaching Diverse Robot Skills: Leveraging Priors, Geometry, and Dynamics.” 2020. Web. 11 Apr 2021.

Vancouver:

Rana MA. Methods for Teaching Diverse Robot Skills: Leveraging Priors, Geometry, and Dynamics. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1853/64106.

Council of Science Editors:

Rana MA. Methods for Teaching Diverse Robot Skills: Leveraging Priors, Geometry, and Dynamics. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64106


University of Texas – Austin

3. Shah, Rishi Alpesh. Deep R learning for continual area sweeping.

Degree: MSin Computational Science, Engineering, and Mathematics, Computational Science, Engineering, and Mathematics, 2019, University of Texas – Austin

 In order to maintain robustness, autonomous robots need to constantly update their knowledge of the environment, which can be expensive when they are deployed in… (more)

Subjects/Keywords: Machine learning; Reinforcement learning; Robotics; Robot learning

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APA (6th Edition):

Shah, R. A. (2019). Deep R learning for continual area sweeping. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/8201

Chicago Manual of Style (16th Edition):

Shah, Rishi Alpesh. “Deep R learning for continual area sweeping.” 2019. Masters Thesis, University of Texas – Austin. Accessed April 11, 2021. http://dx.doi.org/10.26153/tsw/8201.

MLA Handbook (7th Edition):

Shah, Rishi Alpesh. “Deep R learning for continual area sweeping.” 2019. Web. 11 Apr 2021.

Vancouver:

Shah RA. Deep R learning for continual area sweeping. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2021 Apr 11]. Available from: http://dx.doi.org/10.26153/tsw/8201.

Council of Science Editors:

Shah RA. Deep R learning for continual area sweeping. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/8201


Delft University of Technology

4. Capelle, Lotte (author). Fast Learning of Human Interaction Behavior: Learning Patterns of User Interaction on the LEA Robot.

Degree: 2018, Delft University of Technology

This thesis describes three different predictive frameworks which are applied to improve the interaction behavior between a robot and their users. Machine learning is used… (more)

Subjects/Keywords: Machine Learning; Small data; Robot

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APA (6th Edition):

Capelle, L. (. (2018). Fast Learning of Human Interaction Behavior: Learning Patterns of User Interaction on the LEA Robot. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9a6117f6-91d2-4b4d-92e6-a66de49c554b

Chicago Manual of Style (16th Edition):

Capelle, Lotte (author). “Fast Learning of Human Interaction Behavior: Learning Patterns of User Interaction on the LEA Robot.” 2018. Masters Thesis, Delft University of Technology. Accessed April 11, 2021. http://resolver.tudelft.nl/uuid:9a6117f6-91d2-4b4d-92e6-a66de49c554b.

MLA Handbook (7th Edition):

Capelle, Lotte (author). “Fast Learning of Human Interaction Behavior: Learning Patterns of User Interaction on the LEA Robot.” 2018. Web. 11 Apr 2021.

Vancouver:

Capelle L(. Fast Learning of Human Interaction Behavior: Learning Patterns of User Interaction on the LEA Robot. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 11]. Available from: http://resolver.tudelft.nl/uuid:9a6117f6-91d2-4b4d-92e6-a66de49c554b.

Council of Science Editors:

Capelle L(. Fast Learning of Human Interaction Behavior: Learning Patterns of User Interaction on the LEA Robot. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:9a6117f6-91d2-4b4d-92e6-a66de49c554b


NSYSU

5. Chung, Chi-Hsiu. Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation.

Degree: Master, Information Management, 2009, NSYSU

 This thesis presents an imitation-based methodology, also a simple and easy way, for a service robot to learn the behaviors demonstrated by the user. With… (more)

Subjects/Keywords: Genetic Algorithm; Imitation Learning; Robot Learning

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APA (6th Edition):

Chung, C. (2009). Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729109-002840

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chung, Chi-Hsiu. “Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation.” 2009. Thesis, NSYSU. Accessed April 11, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729109-002840.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chung, Chi-Hsiu. “Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation.” 2009. Web. 11 Apr 2021.

Vancouver:

Chung C. Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation. [Internet] [Thesis]. NSYSU; 2009. [cited 2021 Apr 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729109-002840.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chung C. Achieving Imitation-Based Learning for a Humanoid Robot by Evolutionary Computation. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729109-002840

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

6. Jauhri, Snehal (author). Interactive Learning in State-space: Enabling robots to learn from non-expert humans.

Degree: 2020, Delft University of Technology

Imitation Learning is a technique that enables programming the behavior of agents through demonstration, as opposed to manually engineering behavior. However, Imitation Learning methods require… (more)

Subjects/Keywords: Imitation Learning; Learning from Demonstrations; Robot Control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jauhri, S. (. (2020). Interactive Learning in State-space: Enabling robots to learn from non-expert humans. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:be1a04dc-1780-4683-9a7c-77434cd77fa7

Chicago Manual of Style (16th Edition):

Jauhri, Snehal (author). “Interactive Learning in State-space: Enabling robots to learn from non-expert humans.” 2020. Masters Thesis, Delft University of Technology. Accessed April 11, 2021. http://resolver.tudelft.nl/uuid:be1a04dc-1780-4683-9a7c-77434cd77fa7.

MLA Handbook (7th Edition):

Jauhri, Snehal (author). “Interactive Learning in State-space: Enabling robots to learn from non-expert humans.” 2020. Web. 11 Apr 2021.

Vancouver:

Jauhri S(. Interactive Learning in State-space: Enabling robots to learn from non-expert humans. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 11]. Available from: http://resolver.tudelft.nl/uuid:be1a04dc-1780-4683-9a7c-77434cd77fa7.

Council of Science Editors:

Jauhri S(. Interactive Learning in State-space: Enabling robots to learn from non-expert humans. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:be1a04dc-1780-4683-9a7c-77434cd77fa7


University of Toronto

7. Moro, Christina. Learning Socially Assistive Robot Behaviors for Personalized Human-Robot Interaction.

Degree: 2018, University of Toronto

Caregivers play a crucial role in assisting seniors having difficulty accomplishing activities of daily living (ADLs) due to physical or cognitive limitations. A global decline… (more)

Subjects/Keywords: human-robot interaction; robot behavior learning; socially assistive robots; 0771

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APA (6th Edition):

Moro, C. (2018). Learning Socially Assistive Robot Behaviors for Personalized Human-Robot Interaction. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/82909

Chicago Manual of Style (16th Edition):

Moro, Christina. “Learning Socially Assistive Robot Behaviors for Personalized Human-Robot Interaction.” 2018. Masters Thesis, University of Toronto. Accessed April 11, 2021. http://hdl.handle.net/1807/82909.

MLA Handbook (7th Edition):

Moro, Christina. “Learning Socially Assistive Robot Behaviors for Personalized Human-Robot Interaction.” 2018. Web. 11 Apr 2021.

Vancouver:

Moro C. Learning Socially Assistive Robot Behaviors for Personalized Human-Robot Interaction. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1807/82909.

Council of Science Editors:

Moro C. Learning Socially Assistive Robot Behaviors for Personalized Human-Robot Interaction. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/82909


University of Waterloo

8. Sun de la Cruz, Joseph. Learning Inverse Dynamics for Robot Manipulator Control.

Degree: 2011, University of Waterloo

 Model-based control strategies for robot manipulators can present numerous performance advantages when an accurate model of the system dynamics is available. In practice, obtaining such… (more)

Subjects/Keywords: Robot Manipulators; Learning Control; Motion Control; Robot Dynamics

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APA (6th Edition):

Sun de la Cruz, J. (2011). Learning Inverse Dynamics for Robot Manipulator Control. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6322

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sun de la Cruz, Joseph. “Learning Inverse Dynamics for Robot Manipulator Control.” 2011. Thesis, University of Waterloo. Accessed April 11, 2021. http://hdl.handle.net/10012/6322.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sun de la Cruz, Joseph. “Learning Inverse Dynamics for Robot Manipulator Control.” 2011. Web. 11 Apr 2021.

Vancouver:

Sun de la Cruz J. Learning Inverse Dynamics for Robot Manipulator Control. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10012/6322.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun de la Cruz J. Learning Inverse Dynamics for Robot Manipulator Control. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/6322

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Massey University

9. Wang, Wenhan. Genetic network programming with fuzzy reinforcement learning nodes for multi-behaviour robot control : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science, Massey University, Albany campus, New Zealand .

Degree: 2014, Massey University

 This research explores a new approach for building a complex intelligent robot multi-behaviour comprising of a variety of intelligent subsystems that are fused together into… (more)

Subjects/Keywords: Robot control; Robot soccer; Genetic network programming; Fuzzy logic; Reinforcement learning

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APA (6th Edition):

Wang, W. (2014). Genetic network programming with fuzzy reinforcement learning nodes for multi-behaviour robot control : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science, Massey University, Albany campus, New Zealand . (Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/5865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Wenhan. “Genetic network programming with fuzzy reinforcement learning nodes for multi-behaviour robot control : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science, Massey University, Albany campus, New Zealand .” 2014. Thesis, Massey University. Accessed April 11, 2021. http://hdl.handle.net/10179/5865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Wenhan. “Genetic network programming with fuzzy reinforcement learning nodes for multi-behaviour robot control : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science, Massey University, Albany campus, New Zealand .” 2014. Web. 11 Apr 2021.

Vancouver:

Wang W. Genetic network programming with fuzzy reinforcement learning nodes for multi-behaviour robot control : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science, Massey University, Albany campus, New Zealand . [Internet] [Thesis]. Massey University; 2014. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10179/5865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang W. Genetic network programming with fuzzy reinforcement learning nodes for multi-behaviour robot control : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science, Massey University, Albany campus, New Zealand . [Thesis]. Massey University; 2014. Available from: http://hdl.handle.net/10179/5865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

10. Lin, Daiwei. Spatially-Distributed Interactive Behaviour Generation for Architecture-Scale Systems Based on Reinforcement Learning.

Degree: 2020, University of Waterloo

 This thesis is part of the research activities of the Living Architecture System Group (LASG). LASG develops immersive, interactive art sculptures combining concepts of architecture,… (more)

Subjects/Keywords: reinforcement learning; human-robot interaction; architecture-scale

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APA (6th Edition):

Lin, D. (2020). Spatially-Distributed Interactive Behaviour Generation for Architecture-Scale Systems Based on Reinforcement Learning. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15648

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Daiwei. “Spatially-Distributed Interactive Behaviour Generation for Architecture-Scale Systems Based on Reinforcement Learning.” 2020. Thesis, University of Waterloo. Accessed April 11, 2021. http://hdl.handle.net/10012/15648.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Daiwei. “Spatially-Distributed Interactive Behaviour Generation for Architecture-Scale Systems Based on Reinforcement Learning.” 2020. Web. 11 Apr 2021.

Vancouver:

Lin D. Spatially-Distributed Interactive Behaviour Generation for Architecture-Scale Systems Based on Reinforcement Learning. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10012/15648.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin D. Spatially-Distributed Interactive Behaviour Generation for Architecture-Scale Systems Based on Reinforcement Learning. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15648

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Colorado State University

11. Blitch, John G. Engagement and not workload is implicated in automation-induced learning deficiencies for unmanned aerial system trainees.

Degree: PhD, Psychology, 2014, Colorado State University

 Automation has been known to provide both costs and benefits to experienced humans engaged in a wide variety of operational endeavors. Its influence on skill… (more)

Subjects/Keywords: automation; cognition; learning; neuroscience; robot; training

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APA (6th Edition):

Blitch, J. G. (2014). Engagement and not workload is implicated in automation-induced learning deficiencies for unmanned aerial system trainees. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/82506

Chicago Manual of Style (16th Edition):

Blitch, John G. “Engagement and not workload is implicated in automation-induced learning deficiencies for unmanned aerial system trainees.” 2014. Doctoral Dissertation, Colorado State University. Accessed April 11, 2021. http://hdl.handle.net/10217/82506.

MLA Handbook (7th Edition):

Blitch, John G. “Engagement and not workload is implicated in automation-induced learning deficiencies for unmanned aerial system trainees.” 2014. Web. 11 Apr 2021.

Vancouver:

Blitch JG. Engagement and not workload is implicated in automation-induced learning deficiencies for unmanned aerial system trainees. [Internet] [Doctoral dissertation]. Colorado State University; 2014. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10217/82506.

Council of Science Editors:

Blitch JG. Engagement and not workload is implicated in automation-induced learning deficiencies for unmanned aerial system trainees. [Doctoral Dissertation]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/82506


University of Miami

12. Nath, Piyali. Distributed and Parallel Optimization of Captured Human Motions for the Generation of Robust and Stable Motions on Simulated Humanoid Robots.

Degree: MS, Computer Science (Arts and Sciences), 2014, University of Miami

 There are several areas of research in the field of motion learning for robots. RoboCanes, a research group belonging to the Department of Computer Science… (more)

Subjects/Keywords: Parallel optimization; humanoid robot; motion learning

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APA (6th Edition):

Nath, P. (2014). Distributed and Parallel Optimization of Captured Human Motions for the Generation of Robust and Stable Motions on Simulated Humanoid Robots. (Thesis). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_theses/471

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nath, Piyali. “Distributed and Parallel Optimization of Captured Human Motions for the Generation of Robust and Stable Motions on Simulated Humanoid Robots.” 2014. Thesis, University of Miami. Accessed April 11, 2021. https://scholarlyrepository.miami.edu/oa_theses/471.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nath, Piyali. “Distributed and Parallel Optimization of Captured Human Motions for the Generation of Robust and Stable Motions on Simulated Humanoid Robots.” 2014. Web. 11 Apr 2021.

Vancouver:

Nath P. Distributed and Parallel Optimization of Captured Human Motions for the Generation of Robust and Stable Motions on Simulated Humanoid Robots. [Internet] [Thesis]. University of Miami; 2014. [cited 2021 Apr 11]. Available from: https://scholarlyrepository.miami.edu/oa_theses/471.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nath P. Distributed and Parallel Optimization of Captured Human Motions for the Generation of Robust and Stable Motions on Simulated Humanoid Robots. [Thesis]. University of Miami; 2014. Available from: https://scholarlyrepository.miami.edu/oa_theses/471

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitat Pompeu Fabra

13. Vouloutsi, Vasiliki. Learning from a robot: creating synthetic psychologically plausible agents.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2017, Universitat Pompeu Fabra

 A causa dels avenços tecnològics, els robots aviat formaran part de la nostra vida diària i interactuaran amb nosaltres de forma freqüent. Que els robots… (more)

Subjects/Keywords: Robot; Synthetic psychologically plausible agents; Learning; 62

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APA (6th Edition):

Vouloutsi, V. (2017). Learning from a robot: creating synthetic psychologically plausible agents. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/456321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vouloutsi, Vasiliki. “Learning from a robot: creating synthetic psychologically plausible agents.” 2017. Thesis, Universitat Pompeu Fabra. Accessed April 11, 2021. http://hdl.handle.net/10803/456321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vouloutsi, Vasiliki. “Learning from a robot: creating synthetic psychologically plausible agents.” 2017. Web. 11 Apr 2021.

Vancouver:

Vouloutsi V. Learning from a robot: creating synthetic psychologically plausible agents. [Internet] [Thesis]. Universitat Pompeu Fabra; 2017. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10803/456321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vouloutsi V. Learning from a robot: creating synthetic psychologically plausible agents. [Thesis]. Universitat Pompeu Fabra; 2017. Available from: http://hdl.handle.net/10803/456321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Román, Abel Bermúdez. Building and programming an autonomous robot using a Raspberry Pi as a PLC.

Degree: Engineering Science, 2016, University of Skövde

  PLC programming students are often limited to simulated systems or soft PLCs, because the high price of the hardware and the software licenses make… (more)

Subjects/Keywords: PLC; Raspberry Pi; Robot; Control; learning tools.

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APA (6th Edition):

Román, A. B. (2016). Building and programming an autonomous robot using a Raspberry Pi as a PLC. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12786

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Román, Abel Bermúdez. “Building and programming an autonomous robot using a Raspberry Pi as a PLC.” 2016. Thesis, University of Skövde. Accessed April 11, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12786.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Román, Abel Bermúdez. “Building and programming an autonomous robot using a Raspberry Pi as a PLC.” 2016. Web. 11 Apr 2021.

Vancouver:

Román AB. Building and programming an autonomous robot using a Raspberry Pi as a PLC. [Internet] [Thesis]. University of Skövde; 2016. [cited 2021 Apr 11]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12786.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Román AB. Building and programming an autonomous robot using a Raspberry Pi as a PLC. [Thesis]. University of Skövde; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12786

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rice University

15. Losey, Dylan P. Responding to Physical Human-Robot Interaction: Theory and Approximations.

Degree: PhD, Engineering, 2018, Rice University

 This thesis explores how robots should respond to physical human interactions. From surgical devices to assistive arms, robots are becoming an important aspect of our… (more)

Subjects/Keywords: human-robot interaction; machine learning; optimal control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Losey, D. P. (2018). Responding to Physical Human-Robot Interaction: Theory and Approximations. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105912

Chicago Manual of Style (16th Edition):

Losey, Dylan P. “Responding to Physical Human-Robot Interaction: Theory and Approximations.” 2018. Doctoral Dissertation, Rice University. Accessed April 11, 2021. http://hdl.handle.net/1911/105912.

MLA Handbook (7th Edition):

Losey, Dylan P. “Responding to Physical Human-Robot Interaction: Theory and Approximations.” 2018. Web. 11 Apr 2021.

Vancouver:

Losey DP. Responding to Physical Human-Robot Interaction: Theory and Approximations. [Internet] [Doctoral dissertation]. Rice University; 2018. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1911/105912.

Council of Science Editors:

Losey DP. Responding to Physical Human-Robot Interaction: Theory and Approximations. [Doctoral Dissertation]. Rice University; 2018. Available from: http://hdl.handle.net/1911/105912


Delft University of Technology

16. de Jong, Tobias (author). The effect of sampling methods on Deep Q-Networks in robot navigation tasks.

Degree: 2019, Delft University of Technology

Enabling mobile robots to autonomously navigate complex environments is essential for real-world deployment in commercial, industrial, military, health care, and domestic settings. Prior methods approach… (more)

Subjects/Keywords: Deep Learning; Experience Replay; Robot Navigation; Sampling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

de Jong, T. (. (2019). The effect of sampling methods on Deep Q-Networks in robot navigation tasks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8ae08ee1-66e0-4eba-9158-ce7d94bf3a98

Chicago Manual of Style (16th Edition):

de Jong, Tobias (author). “The effect of sampling methods on Deep Q-Networks in robot navigation tasks.” 2019. Masters Thesis, Delft University of Technology. Accessed April 11, 2021. http://resolver.tudelft.nl/uuid:8ae08ee1-66e0-4eba-9158-ce7d94bf3a98.

MLA Handbook (7th Edition):

de Jong, Tobias (author). “The effect of sampling methods on Deep Q-Networks in robot navigation tasks.” 2019. Web. 11 Apr 2021.

Vancouver:

de Jong T(. The effect of sampling methods on Deep Q-Networks in robot navigation tasks. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Apr 11]. Available from: http://resolver.tudelft.nl/uuid:8ae08ee1-66e0-4eba-9158-ce7d94bf3a98.

Council of Science Editors:

de Jong T(. The effect of sampling methods on Deep Q-Networks in robot navigation tasks. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:8ae08ee1-66e0-4eba-9158-ce7d94bf3a98


Delft University of Technology

17. Moerdijk, M.M. (author). Learning to walk using minimum prior knowledge: And a small hexapod robot.

Degree: 2013, Delft University of Technology

Future robotic systems are expected to be so complex, that the required information  – or prior knowledge  – to program them is not always available… (more)

Subjects/Keywords: learning; walking; robot; hexapod; reinforcement; prior knowledge

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APA (6th Edition):

Moerdijk, M. M. (. (2013). Learning to walk using minimum prior knowledge: And a small hexapod robot. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:fafd5dd4-653c-4b39-965f-c48707a2c1ca

Chicago Manual of Style (16th Edition):

Moerdijk, M M (author). “Learning to walk using minimum prior knowledge: And a small hexapod robot.” 2013. Masters Thesis, Delft University of Technology. Accessed April 11, 2021. http://resolver.tudelft.nl/uuid:fafd5dd4-653c-4b39-965f-c48707a2c1ca.

MLA Handbook (7th Edition):

Moerdijk, M M (author). “Learning to walk using minimum prior knowledge: And a small hexapod robot.” 2013. Web. 11 Apr 2021.

Vancouver:

Moerdijk MM(. Learning to walk using minimum prior knowledge: And a small hexapod robot. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2021 Apr 11]. Available from: http://resolver.tudelft.nl/uuid:fafd5dd4-653c-4b39-965f-c48707a2c1ca.

Council of Science Editors:

Moerdijk MM(. Learning to walk using minimum prior knowledge: And a small hexapod robot. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:fafd5dd4-653c-4b39-965f-c48707a2c1ca

18. Nogales, Chris Lorena. Robot Autonomous Fire Location using a Weighted Probability Algorithm.

Degree: MS, Computer Engineering, 2016, Virginia Tech

 Finding a fire inside of a structure without knowing its conditions poses a dangerous threat to the safety of firefighters. As a result, robots are… (more)

Subjects/Keywords: autonomy; perception; machine learning; firefighting robot

Page 1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nogales, C. L. (2016). Robot Autonomous Fire Location using a Weighted Probability Algorithm. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73360

Chicago Manual of Style (16th Edition):

Nogales, Chris Lorena. “Robot Autonomous Fire Location using a Weighted Probability Algorithm.” 2016. Masters Thesis, Virginia Tech. Accessed April 11, 2021. http://hdl.handle.net/10919/73360.

MLA Handbook (7th Edition):

Nogales, Chris Lorena. “Robot Autonomous Fire Location using a Weighted Probability Algorithm.” 2016. Web. 11 Apr 2021.

Vancouver:

Nogales CL. Robot Autonomous Fire Location using a Weighted Probability Algorithm. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/10919/73360.

Council of Science Editors:

Nogales CL. Robot Autonomous Fire Location using a Weighted Probability Algorithm. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/73360


University of New South Wales

19. Sushkov, Oleg. Autonomous robot interaction and use of objects.

Degree: Computer Science & Engineering, 2015, University of New South Wales

 This thesis is focused on the skills that must be performed by an autonomous robot to interact with objects in a complex environment. For a… (more)

Subjects/Keywords: computer vision; robotics; machine learning; robot interaction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sushkov, O. (2015). Autonomous robot interaction and use of objects. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54289 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34687/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Sushkov, Oleg. “Autonomous robot interaction and use of objects.” 2015. Doctoral Dissertation, University of New South Wales. Accessed April 11, 2021. http://handle.unsw.edu.au/1959.4/54289 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34687/SOURCE02?view=true.

MLA Handbook (7th Edition):

Sushkov, Oleg. “Autonomous robot interaction and use of objects.” 2015. Web. 11 Apr 2021.

Vancouver:

Sushkov O. Autonomous robot interaction and use of objects. [Internet] [Doctoral dissertation]. University of New South Wales; 2015. [cited 2021 Apr 11]. Available from: http://handle.unsw.edu.au/1959.4/54289 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34687/SOURCE02?view=true.

Council of Science Editors:

Sushkov O. Autonomous robot interaction and use of objects. [Doctoral Dissertation]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/54289 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34687/SOURCE02?view=true


Oklahoma State University

20. Roy, Sayanti. Mutual reinforcement learning to improve robots as trainers.

Degree: Computer Science, 2020, Oklahoma State University

 Recently, collaborative robots have begun to train humans to achieve complex tasks, and the mutual information exchange between them can lead to successful robot-human collaborations.… (more)

Subjects/Keywords: human robot interaction; pedagogy; reinforcement learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Roy, S. (2020). Mutual reinforcement learning to improve robots as trainers. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/325490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Roy, Sayanti. “Mutual reinforcement learning to improve robots as trainers.” 2020. Thesis, Oklahoma State University. Accessed April 11, 2021. http://hdl.handle.net/11244/325490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Roy, Sayanti. “Mutual reinforcement learning to improve robots as trainers.” 2020. Web. 11 Apr 2021.

Vancouver:

Roy S. Mutual reinforcement learning to improve robots as trainers. [Internet] [Thesis]. Oklahoma State University; 2020. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/11244/325490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roy S. Mutual reinforcement learning to improve robots as trainers. [Thesis]. Oklahoma State University; 2020. Available from: http://hdl.handle.net/11244/325490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

21. Hermans, Tucker Ryer. Representing and learning affordance-based behaviors.

Degree: PhD, Interactive Computing, 2014, Georgia Tech

 Autonomous robots deployed in complex, natural human environments such as homes and offices need to manipulate numerous objects throughout their deployment. For an autonomous robot(more)

Subjects/Keywords: Robot learning; Affordance learning; Autonomous robots; Machine learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hermans, T. R. (2014). Representing and learning affordance-based behaviors. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51835

Chicago Manual of Style (16th Edition):

Hermans, Tucker Ryer. “Representing and learning affordance-based behaviors.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 11, 2021. http://hdl.handle.net/1853/51835.

MLA Handbook (7th Edition):

Hermans, Tucker Ryer. “Representing and learning affordance-based behaviors.” 2014. Web. 11 Apr 2021.

Vancouver:

Hermans TR. Representing and learning affordance-based behaviors. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1853/51835.

Council of Science Editors:

Hermans TR. Representing and learning affordance-based behaviors. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51835


Queensland University of Technology

22. Lehnert, Christopher. Locally weighted learning methods for non-rigid robot control.

Degree: 2015, Queensland University of Technology

 This thesis develops a novel approach to robot control that learns to account for a robot's dynamic complexities while executing various control tasks using inspiration… (more)

Subjects/Keywords: learning robot control; learning; model predictive control; elastic joint robot; artificial intelligence; learning control; locally weighted learning; locally weighted regression; robot dynamics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lehnert, C. (2015). Locally weighted learning methods for non-rigid robot control. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/82358/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lehnert, Christopher. “Locally weighted learning methods for non-rigid robot control.” 2015. Thesis, Queensland University of Technology. Accessed April 11, 2021. https://eprints.qut.edu.au/82358/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lehnert, Christopher. “Locally weighted learning methods for non-rigid robot control.” 2015. Web. 11 Apr 2021.

Vancouver:

Lehnert C. Locally weighted learning methods for non-rigid robot control. [Internet] [Thesis]. Queensland University of Technology; 2015. [cited 2021 Apr 11]. Available from: https://eprints.qut.edu.au/82358/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lehnert C. Locally weighted learning methods for non-rigid robot control. [Thesis]. Queensland University of Technology; 2015. Available from: https://eprints.qut.edu.au/82358/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Michigan

23. Aladem, Mohamed D. Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving.

Degree: PhD, College of Engineering & Computer Science, 2020, University of Michigan

 Autonomy, robotics, and Artificial Intelligence (AI) are among the main defining themes of next-generation societies. Of the most important applications of said technologies is driving… (more)

Subjects/Keywords: Robot vision; Autonomous vehicles; Robot perception; Deep learning; Intelligent Systems and Robotics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Aladem, M. D. (2020). Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153989

Chicago Manual of Style (16th Edition):

Aladem, Mohamed D. “Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving.” 2020. Doctoral Dissertation, University of Michigan. Accessed April 11, 2021. http://hdl.handle.net/2027.42/153989.

MLA Handbook (7th Edition):

Aladem, Mohamed D. “Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving.” 2020. Web. 11 Apr 2021.

Vancouver:

Aladem MD. Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/2027.42/153989.

Council of Science Editors:

Aladem MD. Combined Learned and Classical Methods for Real-Time Visual Perception in Autonomous Driving. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/153989

24. Spach, Michel. Activités robotiques à l'école primaire et apprentissage de concepts informatiques : quelle place du scénario pédagogique ? Les limites du co-apprentissage : Robotic activities in primary school and learning computer concepts : what is the role of the pedagogical scenario?.

Degree: Docteur es, Sciences de l'éducation, 2017, Sorbonne Paris Cité

Cette recherche, qui s'inscrit dans le cadre des travaux en didactique de l'informatique de Baron et Bruillard, analyse la façon dont des enseignants du primaire,… (more)

Subjects/Keywords: Informatique; Programmation; Robot; Apprentissage; Concept; Computer science; Programming; Robot; Learning; Concept; 371.334

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Spach, M. (2017). Activités robotiques à l'école primaire et apprentissage de concepts informatiques : quelle place du scénario pédagogique ? Les limites du co-apprentissage : Robotic activities in primary school and learning computer concepts : what is the role of the pedagogical scenario?. (Doctoral Dissertation). Sorbonne Paris Cité. Retrieved from http://www.theses.fr/2017USPCB198

Chicago Manual of Style (16th Edition):

Spach, Michel. “Activités robotiques à l'école primaire et apprentissage de concepts informatiques : quelle place du scénario pédagogique ? Les limites du co-apprentissage : Robotic activities in primary school and learning computer concepts : what is the role of the pedagogical scenario?.” 2017. Doctoral Dissertation, Sorbonne Paris Cité. Accessed April 11, 2021. http://www.theses.fr/2017USPCB198.

MLA Handbook (7th Edition):

Spach, Michel. “Activités robotiques à l'école primaire et apprentissage de concepts informatiques : quelle place du scénario pédagogique ? Les limites du co-apprentissage : Robotic activities in primary school and learning computer concepts : what is the role of the pedagogical scenario?.” 2017. Web. 11 Apr 2021.

Vancouver:

Spach M. Activités robotiques à l'école primaire et apprentissage de concepts informatiques : quelle place du scénario pédagogique ? Les limites du co-apprentissage : Robotic activities in primary school and learning computer concepts : what is the role of the pedagogical scenario?. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; 2017. [cited 2021 Apr 11]. Available from: http://www.theses.fr/2017USPCB198.

Council of Science Editors:

Spach M. Activités robotiques à l'école primaire et apprentissage de concepts informatiques : quelle place du scénario pédagogique ? Les limites du co-apprentissage : Robotic activities in primary school and learning computer concepts : what is the role of the pedagogical scenario?. [Doctoral Dissertation]. Sorbonne Paris Cité; 2017. Available from: http://www.theses.fr/2017USPCB198


KTH

25. Lau, Cidney. Support Vector Machine Algorithm applied to Industrial Robot Error Recovery.

Degree: Computer Science and Communication (CSC), 2015, KTH

A Machine Learning approach for error recovery in an industrial robot for the plastic mold industry isproposed in this master thesis project. The goal… (more)

Subjects/Keywords: Support Vector Machine; SVM; Machine Learning; industrial robot; robot; error recovery; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lau, C. (2015). Support Vector Machine Algorithm applied to Industrial Robot Error Recovery. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172331

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lau, Cidney. “Support Vector Machine Algorithm applied to Industrial Robot Error Recovery.” 2015. Thesis, KTH. Accessed April 11, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172331.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lau, Cidney. “Support Vector Machine Algorithm applied to Industrial Robot Error Recovery.” 2015. Web. 11 Apr 2021.

Vancouver:

Lau C. Support Vector Machine Algorithm applied to Industrial Robot Error Recovery. [Internet] [Thesis]. KTH; 2015. [cited 2021 Apr 11]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172331.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lau C. Support Vector Machine Algorithm applied to Industrial Robot Error Recovery. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172331

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Colorado School of Mines

26. Liu, Rui. Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A.

Degree: PhD, Mechanical Engineering, 2018, Colorado School of Mines

 Human-centered environment, which is defined by robots, human, and environmental conditions, is a key part of robot task executions. Accurate understanding of human-centered environment is… (more)

Subjects/Keywords: cognitive robotics; environment adaptation; robot learning; decision making; artificial intelligence; human-robot interaction

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APA (6th Edition):

Liu, R. (2018). Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/172274

Chicago Manual of Style (16th Edition):

Liu, Rui. “Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A.” 2018. Doctoral Dissertation, Colorado School of Mines. Accessed April 11, 2021. http://hdl.handle.net/11124/172274.

MLA Handbook (7th Edition):

Liu, Rui. “Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A.” 2018. Web. 11 Apr 2021.

Vancouver:

Liu R. Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2018. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/11124/172274.

Council of Science Editors:

Liu R. Cognitive comprehension framework for human-centered situation learning and adaptation in robotics, A. [Doctoral Dissertation]. Colorado School of Mines; 2018. Available from: http://hdl.handle.net/11124/172274

27. Mayran de Chamisso, Fabrice. Lifelong Exploratory Navigation : integrating planning, navigation and SLAM for autonomous mobile robots with finite resources : Navigation exploratoire au long de la vie : une approche intégrant planification, navigation, cartographie et localisation pour des robots mobiles disposant de ressources finies.

Degree: Docteur es, Robotique, 2016, Université Paris-Saclay (ComUE)

Il est fondamental pour un robot d'être capable de se déplacer de manière complètement autonome afin d'accomplir une mission qui lui a été confiée, et… (more)

Subjects/Keywords: Robot; Autonome; Intelligence; Apprentissage; Slam; Planification; Robot; Autonomous; Intelligence; Learning; Slam; Planning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mayran de Chamisso, F. (2016). Lifelong Exploratory Navigation : integrating planning, navigation and SLAM for autonomous mobile robots with finite resources : Navigation exploratoire au long de la vie : une approche intégrant planification, navigation, cartographie et localisation pour des robots mobiles disposant de ressources finies. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2016SACLS413

Chicago Manual of Style (16th Edition):

Mayran de Chamisso, Fabrice. “Lifelong Exploratory Navigation : integrating planning, navigation and SLAM for autonomous mobile robots with finite resources : Navigation exploratoire au long de la vie : une approche intégrant planification, navigation, cartographie et localisation pour des robots mobiles disposant de ressources finies.” 2016. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed April 11, 2021. http://www.theses.fr/2016SACLS413.

MLA Handbook (7th Edition):

Mayran de Chamisso, Fabrice. “Lifelong Exploratory Navigation : integrating planning, navigation and SLAM for autonomous mobile robots with finite resources : Navigation exploratoire au long de la vie : une approche intégrant planification, navigation, cartographie et localisation pour des robots mobiles disposant de ressources finies.” 2016. Web. 11 Apr 2021.

Vancouver:

Mayran de Chamisso F. Lifelong Exploratory Navigation : integrating planning, navigation and SLAM for autonomous mobile robots with finite resources : Navigation exploratoire au long de la vie : une approche intégrant planification, navigation, cartographie et localisation pour des robots mobiles disposant de ressources finies. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2016. [cited 2021 Apr 11]. Available from: http://www.theses.fr/2016SACLS413.

Council of Science Editors:

Mayran de Chamisso F. Lifelong Exploratory Navigation : integrating planning, navigation and SLAM for autonomous mobile robots with finite resources : Navigation exploratoire au long de la vie : une approche intégrant planification, navigation, cartographie et localisation pour des robots mobiles disposant de ressources finies. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2016. Available from: http://www.theses.fr/2016SACLS413


NSYSU

28. Hung, I-chun. Developing Ubiquitous Learning System with Robot for Children's Learning.

Degree: Master, Information Management, 2009, NSYSU

 An advanced architecture of learning system with flexible, mobile and joyful features for supporting ubiquitous learning is developed in this research. The architecture consists of… (more)

Subjects/Keywords: u-ONE; Joyful learning; RFID; Robot; Ubiquitous learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hung, I. (2009). Developing Ubiquitous Learning System with Robot for Children's Learning. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0710109-004149

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hung, I-chun. “Developing Ubiquitous Learning System with Robot for Children's Learning.” 2009. Thesis, NSYSU. Accessed April 11, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0710109-004149.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hung, I-chun. “Developing Ubiquitous Learning System with Robot for Children's Learning.” 2009. Web. 11 Apr 2021.

Vancouver:

Hung I. Developing Ubiquitous Learning System with Robot for Children's Learning. [Internet] [Thesis]. NSYSU; 2009. [cited 2021 Apr 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0710109-004149.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hung I. Developing Ubiquitous Learning System with Robot for Children's Learning. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0710109-004149

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

29. Lee, Jia-Lin. Adaptive Image-Based Visual Servoing of Robot Manipulators by Reinforcement Learning.

Degree: Master, Electrical Engineering, 2017, NSYSU

 The main objective of this thesis is to design an intelligent gain controller for a robot arm based on reinforcement learning methods. The controller is… (more)

Subjects/Keywords: Visual servoing; Robot arm; Q-learning; Reinforcement learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lee, J. (2017). Adaptive Image-Based Visual Servoing of Robot Manipulators by Reinforcement Learning. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-151814

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lee, Jia-Lin. “Adaptive Image-Based Visual Servoing of Robot Manipulators by Reinforcement Learning.” 2017. Thesis, NSYSU. Accessed April 11, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-151814.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lee, Jia-Lin. “Adaptive Image-Based Visual Servoing of Robot Manipulators by Reinforcement Learning.” 2017. Web. 11 Apr 2021.

Vancouver:

Lee J. Adaptive Image-Based Visual Servoing of Robot Manipulators by Reinforcement Learning. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Apr 11]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-151814.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee J. Adaptive Image-Based Visual Servoing of Robot Manipulators by Reinforcement Learning. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0619117-151814

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Berkeley

30. Lin, Chung-Yen. Learning of Task-specific Control Policies for Industrial Robots.

Degree: Mechanical Engineering, 2016, University of California – Berkeley

 Today's industrial robots are designed to be able to execute versatile tasks like a human. When deploying the robots to production lines, however, they only… (more)

Subjects/Keywords: Robotics; Control; Learning Control; Machine Learning; Optimization; Robot

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lin, C. (2016). Learning of Task-specific Control Policies for Industrial Robots. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/51q7s5c1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Chung-Yen. “Learning of Task-specific Control Policies for Industrial Robots.” 2016. Thesis, University of California – Berkeley. Accessed April 11, 2021. http://www.escholarship.org/uc/item/51q7s5c1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Chung-Yen. “Learning of Task-specific Control Policies for Industrial Robots.” 2016. Web. 11 Apr 2021.

Vancouver:

Lin C. Learning of Task-specific Control Policies for Industrial Robots. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2021 Apr 11]. Available from: http://www.escholarship.org/uc/item/51q7s5c1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin C. Learning of Task-specific Control Policies for Industrial Robots. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/51q7s5c1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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