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You searched for subject:(learning from demonstrations). Showing records 1 – 4 of 4 total matches.

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1. Rozemuller, C.G. Action learning from human demonstrations for personal robots:.

Degree: 2013, Delft University of Technology

 Household robots need to perform tasks specific for the owner. With Learning from demonstration (LfD) a robot can learn new tasks from human demonstrations, without… (more)

Subjects/Keywords: learning from demonstrations

…x28;PbD), Learning by Experienced Demonstrations, Assembly Plan from Observation… …51 51 52 A Learning from demonstration in literature 55 A-1 Surveys… …1-2 Learning from demonstration The ideal household robot should be able to take over… …Science Thesis 1-3 Examples 3 The field of Learning from Demonstration (LfD) 1… …robot learner. Learning from demonstration is a relatively new topic in robotics with… 

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

APA (6th Edition):

Rozemuller, C. G. (2013). Action learning from human demonstrations for personal robots:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4dbcecf9-e143-4f16-b315-f4a509140b7d

Chicago Manual of Style (16th Edition):

Rozemuller, C G. “Action learning from human demonstrations for personal robots:.” 2013. Masters Thesis, Delft University of Technology. Accessed March 29, 2020. http://resolver.tudelft.nl/uuid:4dbcecf9-e143-4f16-b315-f4a509140b7d.

MLA Handbook (7th Edition):

Rozemuller, C G. “Action learning from human demonstrations for personal robots:.” 2013. Web. 29 Mar 2020.

Vancouver:

Rozemuller CG. Action learning from human demonstrations for personal robots:. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2020 Mar 29]. Available from: http://resolver.tudelft.nl/uuid:4dbcecf9-e143-4f16-b315-f4a509140b7d.

Council of Science Editors:

Rozemuller CG. Action learning from human demonstrations for personal robots:. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:4dbcecf9-e143-4f16-b315-f4a509140b7d

2. Carpio Mazariegos, Estuardo Rene. Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations.

Degree: MS, 2018, University of New Hampshire

 The presence of robots in society is becoming increasingly common, triggering the need to learn reliable policies to automate human-robot interactions (HRI). Manually developing policies… (more)

Subjects/Keywords: HRI; human-robot interaction; learning from demonstrations; LfD; temporal reasoning

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

APA (6th Edition):

Carpio Mazariegos, E. R. (2018). Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1237

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):

Carpio Mazariegos, Estuardo Rene. “Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations.” 2018. Thesis, University of New Hampshire. Accessed March 29, 2020. https://scholars.unh.edu/thesis/1237.

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

MLA Handbook (7th Edition):

Carpio Mazariegos, Estuardo Rene. “Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations.” 2018. Web. 29 Mar 2020.

Vancouver:

Carpio Mazariegos ER. Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2020 Mar 29]. Available from: https://scholars.unh.edu/thesis/1237.

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

Council of Science Editors:

Carpio Mazariegos ER. Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1237

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


Luleå University of Technology

3. Lundell, Jens. Dynamic movement primitives andreinforcement learning for adapting alearned skill.

Degree: 2016, Luleå University of Technology

Traditionally robots have been preprogrammed to execute specific tasks. Thisapproach works well in industrial settings where robots have to execute highlyaccurate movements, such as… (more)

Subjects/Keywords: Learning from Demonstrations; Dynamic Movement Primitives; Reinforcement Learning; Robotics; Robotteknik och automation

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

APA (6th Edition):

Lundell, J. (2016). Dynamic movement primitives andreinforcement learning for adapting alearned skill. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45925

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):

Lundell, Jens. “Dynamic movement primitives andreinforcement learning for adapting alearned skill.” 2016. Thesis, Luleå University of Technology. Accessed March 29, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45925.

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

MLA Handbook (7th Edition):

Lundell, Jens. “Dynamic movement primitives andreinforcement learning for adapting alearned skill.” 2016. Web. 29 Mar 2020.

Vancouver:

Lundell J. Dynamic movement primitives andreinforcement learning for adapting alearned skill. [Internet] [Thesis]. Luleå University of Technology; 2016. [cited 2020 Mar 29]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45925.

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

Council of Science Editors:

Lundell J. Dynamic movement primitives andreinforcement learning for adapting alearned skill. [Thesis]. Luleå University of Technology; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-45925

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

4. YUAN JINQIANG. LEARNING ACTIONS FROM DEMONSTRATIONS FOR MANIPULATION TASK PLANNING.

Degree: 2019, National University of Singapore

Subjects/Keywords: Learning from Demonstrations; Combined Task and Motion Planning; Manipulationg Planning; Robotic Learning; Dynamic Movement Primitives; Task Planning

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

APA (6th Edition):

JINQIANG, Y. (2019). LEARNING ACTIONS FROM DEMONSTRATIONS FOR MANIPULATION TASK PLANNING. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/158088

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):

JINQIANG, YUAN. “LEARNING ACTIONS FROM DEMONSTRATIONS FOR MANIPULATION TASK PLANNING.” 2019. Thesis, National University of Singapore. Accessed March 29, 2020. https://scholarbank.nus.edu.sg/handle/10635/158088.

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

MLA Handbook (7th Edition):

JINQIANG, YUAN. “LEARNING ACTIONS FROM DEMONSTRATIONS FOR MANIPULATION TASK PLANNING.” 2019. Web. 29 Mar 2020.

Vancouver:

JINQIANG Y. LEARNING ACTIONS FROM DEMONSTRATIONS FOR MANIPULATION TASK PLANNING. [Internet] [Thesis]. National University of Singapore; 2019. [cited 2020 Mar 29]. Available from: https://scholarbank.nus.edu.sg/handle/10635/158088.

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

Council of Science Editors:

JINQIANG Y. LEARNING ACTIONS FROM DEMONSTRATIONS FOR MANIPULATION TASK PLANNING. [Thesis]. National University of Singapore; 2019. Available from: https://scholarbank.nus.edu.sg/handle/10635/158088

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

.