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You searched for subject:(robotic search). Showing records 1 – 13 of 13 total matches.

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West Virginia University

1. Beard, Jared Joseph. Environment Search Planning Subject to High Robot Localization Uncertainty.

Degree: MS, Mechanical and Aerospace Engineering, 2020, West Virginia University

  As robots find applications in more complex roles, ranging from search and rescue to healthcare and services, they must be robust to greater levels… (more)

Subjects/Keywords: Decision Making under Uncertainty; Robotic Search; Vehicle Routing; Other Mechanical Engineering

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APA (6th Edition):

Beard, J. J. (2020). Environment Search Planning Subject to High Robot Localization Uncertainty. (Thesis). West Virginia University. Retrieved from https://doi.org/10.33915/etd.7707 ; https://researchrepository.wvu.edu/etd/7707

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):

Beard, Jared Joseph. “Environment Search Planning Subject to High Robot Localization Uncertainty.” 2020. Thesis, West Virginia University. Accessed April 14, 2021. https://doi.org/10.33915/etd.7707 ; https://researchrepository.wvu.edu/etd/7707.

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

MLA Handbook (7th Edition):

Beard, Jared Joseph. “Environment Search Planning Subject to High Robot Localization Uncertainty.” 2020. Web. 14 Apr 2021.

Vancouver:

Beard JJ. Environment Search Planning Subject to High Robot Localization Uncertainty. [Internet] [Thesis]. West Virginia University; 2020. [cited 2021 Apr 14]. Available from: https://doi.org/10.33915/etd.7707 ; https://researchrepository.wvu.edu/etd/7707.

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

Council of Science Editors:

Beard JJ. Environment Search Planning Subject to High Robot Localization Uncertainty. [Thesis]. West Virginia University; 2020. Available from: https://doi.org/10.33915/etd.7707 ; https://researchrepository.wvu.edu/etd/7707

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

2. Ehlers, Dennis. Learning Search Strategies from Human Demonstration for Robotic Assembly Tasks.

Degree: Space Technology, 2018, Luleå University of Technology

  Learning from Demonstration (LfD) has been used in robotics research for the last decades to solve issues pertaining to conventional programming of robots. This… (more)

Subjects/Keywords: learning from demonstration; robotics; robotic assembly; search strategies; learning search; compliant motion; Aerospace Engineering; Rymd- och flygteknik

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APA (6th Edition):

Ehlers, D. (2018). Learning Search Strategies from Human Demonstration for Robotic Assembly Tasks. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72052

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):

Ehlers, Dennis. “Learning Search Strategies from Human Demonstration for Robotic Assembly Tasks.” 2018. Thesis, Luleå University of Technology. Accessed April 14, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72052.

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

MLA Handbook (7th Edition):

Ehlers, Dennis. “Learning Search Strategies from Human Demonstration for Robotic Assembly Tasks.” 2018. Web. 14 Apr 2021.

Vancouver:

Ehlers D. Learning Search Strategies from Human Demonstration for Robotic Assembly Tasks. [Internet] [Thesis]. Luleå University of Technology; 2018. [cited 2021 Apr 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72052.

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

Council of Science Editors:

Ehlers D. Learning Search Strategies from Human Demonstration for Robotic Assembly Tasks. [Thesis]. Luleå University of Technology; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72052

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


University of Illinois – Chicago

3. Monfort, Mathew. Methods in Large Scale Inverse Optimal Control.

Degree: 2016, University of Illinois – Chicago

 As our technology continues to evolve, so does the complexity of the problems that we expect our systems to solve. The challenge is that these… (more)

Subjects/Keywords: machine learning; artificial intelligence; inverse optimal control; graph search; autonomous agents; reinforcement learning; path distributions; robotic control; robotics; robots; activity recognition

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APA (6th Edition):

Monfort, M. (2016). Methods in Large Scale Inverse Optimal Control. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21540

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):

Monfort, Mathew. “Methods in Large Scale Inverse Optimal Control.” 2016. Thesis, University of Illinois – Chicago. Accessed April 14, 2021. http://hdl.handle.net/10027/21540.

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

MLA Handbook (7th Edition):

Monfort, Mathew. “Methods in Large Scale Inverse Optimal Control.” 2016. Web. 14 Apr 2021.

Vancouver:

Monfort M. Methods in Large Scale Inverse Optimal Control. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10027/21540.

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

Council of Science Editors:

Monfort M. Methods in Large Scale Inverse Optimal Control. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/21540

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


University of Oxford

4. Ward, Paul A. Coordinated search with unmanned aerial vehicle teams.

Degree: PhD, 2013, University of Oxford

 Advances in mobile robot technology allow an increasing variety of applications to be imagined, including: search and rescue, exploration of unknown areas and working with… (more)

Subjects/Keywords: 629.8; Software engineering; Computing; Applications and algorithms; Robotics; unmanned aerial vehicles; robotic search; search and rescue; robot teams; multi-robot systems; multi-robot coordination

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APA (6th Edition):

Ward, P. A. (2013). Coordinated search with unmanned aerial vehicle teams. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:37407b90-51e7-4814-936c-4817ea0c711f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627789

Chicago Manual of Style (16th Edition):

Ward, Paul A. “Coordinated search with unmanned aerial vehicle teams.” 2013. Doctoral Dissertation, University of Oxford. Accessed April 14, 2021. http://ora.ox.ac.uk/objects/uuid:37407b90-51e7-4814-936c-4817ea0c711f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627789.

MLA Handbook (7th Edition):

Ward, Paul A. “Coordinated search with unmanned aerial vehicle teams.” 2013. Web. 14 Apr 2021.

Vancouver:

Ward PA. Coordinated search with unmanned aerial vehicle teams. [Internet] [Doctoral dissertation]. University of Oxford; 2013. [cited 2021 Apr 14]. Available from: http://ora.ox.ac.uk/objects/uuid:37407b90-51e7-4814-936c-4817ea0c711f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627789.

Council of Science Editors:

Ward PA. Coordinated search with unmanned aerial vehicle teams. [Doctoral Dissertation]. University of Oxford; 2013. Available from: http://ora.ox.ac.uk/objects/uuid:37407b90-51e7-4814-936c-4817ea0c711f ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627789


University of Michigan

5. Rykoff, Eli S. Prompt observations of gamma -ray burst afterglows with ROTSE-III.

Degree: PhD, Pure Sciences, 2005, University of Michigan

 Gamma-ray bursts (GRBs) are some of the most energetic explosions in the universe, releasing over 1051 ergs in gamma-rays in tens of seconds. About half… (more)

Subjects/Keywords: Afterglows; Gamma-ray Burst; Observations; Prompt; Robotic Optical Transient Search Experiment-iii; Rotse

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APA (6th Edition):

Rykoff, E. S. (2005). Prompt observations of gamma -ray burst afterglows with ROTSE-III. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/125488

Chicago Manual of Style (16th Edition):

Rykoff, Eli S. “Prompt observations of gamma -ray burst afterglows with ROTSE-III.” 2005. Doctoral Dissertation, University of Michigan. Accessed April 14, 2021. http://hdl.handle.net/2027.42/125488.

MLA Handbook (7th Edition):

Rykoff, Eli S. “Prompt observations of gamma -ray burst afterglows with ROTSE-III.” 2005. Web. 14 Apr 2021.

Vancouver:

Rykoff ES. Prompt observations of gamma -ray burst afterglows with ROTSE-III. [Internet] [Doctoral dissertation]. University of Michigan; 2005. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/2027.42/125488.

Council of Science Editors:

Rykoff ES. Prompt observations of gamma -ray burst afterglows with ROTSE-III. [Doctoral Dissertation]. University of Michigan; 2005. Available from: http://hdl.handle.net/2027.42/125488

6. Hulshof, J. (author). ARSOn: A Robotic Search Optimization.

Degree: 2013, Delft University of Technology

Robotic search is a very active field of research, and especially search with multiple robots is of high interest. A swarm of robots equipped with… (more)

Subjects/Keywords: Robotic Search; UAVs; Multiple Robots; Stochastic sensors; FireSwarm

…J. Hulshof 63 MSc Thesis Chapter 1 Introduction Robotic search is a very active field… …1 Problem Statement In related research robotic search problems are mostly defined for a… …general (robotic) search problem remain unsolved. Therefore, the work in this thesis… …is aimed at the more fundamental questions in the field of robotic search that are also… …present in FireSwarm. One of the most important parts of robotic search is the sensor; so this… 

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APA (6th Edition):

Hulshof, J. (. (2013). ARSOn: A Robotic Search Optimization. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0b6bfe19-8687-4f03-a3c9-5392ac0fac51

Chicago Manual of Style (16th Edition):

Hulshof, J (author). “ARSOn: A Robotic Search Optimization.” 2013. Masters Thesis, Delft University of Technology. Accessed April 14, 2021. http://resolver.tudelft.nl/uuid:0b6bfe19-8687-4f03-a3c9-5392ac0fac51.

MLA Handbook (7th Edition):

Hulshof, J (author). “ARSOn: A Robotic Search Optimization.” 2013. Web. 14 Apr 2021.

Vancouver:

Hulshof J(. ARSOn: A Robotic Search Optimization. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2021 Apr 14]. Available from: http://resolver.tudelft.nl/uuid:0b6bfe19-8687-4f03-a3c9-5392ac0fac51.

Council of Science Editors:

Hulshof J(. ARSOn: A Robotic Search Optimization. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:0b6bfe19-8687-4f03-a3c9-5392ac0fac51

7. Melikian, Simon Haig. Visual Search for Objects with Straight Lines.

Degree: PhD, Electrical Engineering, 2006, Case Western Reserve University School of Graduate Studies

 I present a new method of visual search for objects that include straight lines. This is usually the case for machine-made objects. I describe existing… (more)

Subjects/Keywords: Computer Science; Visual search; Image search; Pattern recognition; Object recognition; Computer vision; Machine vision; Robotic guidance; Salient icons; Straight lines

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APA (6th Edition):

Melikian, S. H. (2006). Visual Search for Objects with Straight Lines. (Doctoral Dissertation). Case Western Reserve University School of Graduate Studies. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1134003738

Chicago Manual of Style (16th Edition):

Melikian, Simon Haig. “Visual Search for Objects with Straight Lines.” 2006. Doctoral Dissertation, Case Western Reserve University School of Graduate Studies. Accessed April 14, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1134003738.

MLA Handbook (7th Edition):

Melikian, Simon Haig. “Visual Search for Objects with Straight Lines.” 2006. Web. 14 Apr 2021.

Vancouver:

Melikian SH. Visual Search for Objects with Straight Lines. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2006. [cited 2021 Apr 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1134003738.

Council of Science Editors:

Melikian SH. Visual Search for Objects with Straight Lines. [Doctoral Dissertation]. Case Western Reserve University School of Graduate Studies; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1134003738


University of Michigan

8. Deshpande, Ashish D. Pseudo robot based methods to analyze kinematics and dynamics of robotic systems from a design perspective.

Degree: PhD, Mechanical engineering, 2007, University of Michigan

 Multi-body interactions and environmental contacts in robotic systems make the analysis of such systems challenging. We present an approach for kinematics and dynamics analysis of… (more)

Subjects/Keywords: Analyze; Based; Design; Dynamics; Kinematics; Methods; Mobile Robots; Perspective; Pseudo; Robot; Robotic Systems; Search And Rescue

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APA (6th Edition):

Deshpande, A. D. (2007). Pseudo robot based methods to analyze kinematics and dynamics of robotic systems from a design perspective. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126408

Chicago Manual of Style (16th Edition):

Deshpande, Ashish D. “Pseudo robot based methods to analyze kinematics and dynamics of robotic systems from a design perspective.” 2007. Doctoral Dissertation, University of Michigan. Accessed April 14, 2021. http://hdl.handle.net/2027.42/126408.

MLA Handbook (7th Edition):

Deshpande, Ashish D. “Pseudo robot based methods to analyze kinematics and dynamics of robotic systems from a design perspective.” 2007. Web. 14 Apr 2021.

Vancouver:

Deshpande AD. Pseudo robot based methods to analyze kinematics and dynamics of robotic systems from a design perspective. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/2027.42/126408.

Council of Science Editors:

Deshpande AD. Pseudo robot based methods to analyze kinematics and dynamics of robotic systems from a design perspective. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/126408


Universidade do Estado do Rio de Janeiro

9. Alan Oliveira de Sá. Localização colaborativa em robótica de enxame.

Degree: Master, 2015, Universidade do Estado do Rio de Janeiro

Diversas das possíveis aplicações da robótica de enxame demandam que cada robô seja capaz de estimar a sua posição. A informação de localização dos robôs… (more)

Subjects/Keywords: Localização; Engenharia Eletrônica; Robótica de enxame; Inteligência coletiva; Rede de sensores sem fio; Otimização por enxame de partículas; Algoritmo de busca por retrocesso; Electronic engineering; Localization; Swarm robotic system; Swarm intelligence; Wireless sensor network; Particle swarm optimization; Backtracking search optimization algorithm; ENGENHARIAS

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APA (6th Edition):

Sá, A. O. d. (2015). Localização colaborativa em robótica de enxame. (Masters Thesis). Universidade do Estado do Rio de Janeiro. Retrieved from http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=8895 ;

Chicago Manual of Style (16th Edition):

Sá, Alan Oliveira de. “Localização colaborativa em robótica de enxame.” 2015. Masters Thesis, Universidade do Estado do Rio de Janeiro. Accessed April 14, 2021. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=8895 ;.

MLA Handbook (7th Edition):

Sá, Alan Oliveira de. “Localização colaborativa em robótica de enxame.” 2015. Web. 14 Apr 2021.

Vancouver:

Sá AOd. Localização colaborativa em robótica de enxame. [Internet] [Masters thesis]. Universidade do Estado do Rio de Janeiro; 2015. [cited 2021 Apr 14]. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=8895 ;.

Council of Science Editors:

Sá AOd. Localização colaborativa em robótica de enxame. [Masters Thesis]. Universidade do Estado do Rio de Janeiro; 2015. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=8895 ;


Brigham Young University

10. Hardin, Benjamin C. On Autonomous Multi-agent Control in Wilderness Search and Rescue: A Mixed Initiative Approach.

Degree: MS, 2008, Brigham Young University

  Searching for lost people in a Wilderness Search and Rescue (WiSAR) scenario is a task that can benefit from large numbers of agents, some… (more)

Subjects/Keywords: autonomy; autonomous; multi-agent; robotic; control; wilderness search and rescue; mixed initiative; adaptive autonomy; adjustable autonomy; Computer Sciences

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APA (6th Edition):

Hardin, B. C. (2008). On Autonomous Multi-agent Control in Wilderness Search and Rescue: A Mixed Initiative Approach. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2546&context=etd

Chicago Manual of Style (16th Edition):

Hardin, Benjamin C. “On Autonomous Multi-agent Control in Wilderness Search and Rescue: A Mixed Initiative Approach.” 2008. Masters Thesis, Brigham Young University. Accessed April 14, 2021. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2546&context=etd.

MLA Handbook (7th Edition):

Hardin, Benjamin C. “On Autonomous Multi-agent Control in Wilderness Search and Rescue: A Mixed Initiative Approach.” 2008. Web. 14 Apr 2021.

Vancouver:

Hardin BC. On Autonomous Multi-agent Control in Wilderness Search and Rescue: A Mixed Initiative Approach. [Internet] [Masters thesis]. Brigham Young University; 2008. [cited 2021 Apr 14]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2546&context=etd.

Council of Science Editors:

Hardin BC. On Autonomous Multi-agent Control in Wilderness Search and Rescue: A Mixed Initiative Approach. [Masters Thesis]. Brigham Young University; 2008. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2546&context=etd


University of Florida

11. Lucas, Drew Tyler. Development of a Multi-Resolution Parallel Genetic Algorithm for Autonomous Robotic Path Planning.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

 Deterministic algorithms such as A* and D* have been applied with great success to autonomous robotic path planning. However, as search space size increases numerous… (more)

Subjects/Keywords: Chromosomes; Evaluation points; Genetic algorithms; Genetic mutation; Population control; Population dynamics; Robotics; Robots; Seeding; Sensors; algorithms  – anytime  – autonomous  – deterministic  – evolution  – genetic  – gpu  – multi-resolution  – parallel  – path  – planning  – reactive  – resolution  – robotic  – search

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APA (6th Edition):

Lucas, D. T. (2012). Development of a Multi-Resolution Parallel Genetic Algorithm for Autonomous Robotic Path Planning. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044335

Chicago Manual of Style (16th Edition):

Lucas, Drew Tyler. “Development of a Multi-Resolution Parallel Genetic Algorithm for Autonomous Robotic Path Planning.” 2012. Doctoral Dissertation, University of Florida. Accessed April 14, 2021. https://ufdc.ufl.edu/UFE0044335.

MLA Handbook (7th Edition):

Lucas, Drew Tyler. “Development of a Multi-Resolution Parallel Genetic Algorithm for Autonomous Robotic Path Planning.” 2012. Web. 14 Apr 2021.

Vancouver:

Lucas DT. Development of a Multi-Resolution Parallel Genetic Algorithm for Autonomous Robotic Path Planning. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 Apr 14]. Available from: https://ufdc.ufl.edu/UFE0044335.

Council of Science Editors:

Lucas DT. Development of a Multi-Resolution Parallel Genetic Algorithm for Autonomous Robotic Path Planning. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044335


York University

12. Arns, Moritz. Novel Reconfigurable Delta Robot Dual-Functioning as Adaptive Landing Gear and Manipulator.

Degree: MASc - Master of Applied Science, Mechanical Engineering, 2019, York University

 In this work a novel dual-functioning rotorcraft undercarriage is developed. The design is a reconfigurable delta robot which allows for transformation between Adaptive Landing Gear… (more)

Subjects/Keywords: Aerospace engineering; drone delivery; adaptive landing gear; aerial manipulation; rotorcraft; search and rescue drone; delta robot; slope landing; 3DOF; robotic; landing gear; dual-functioning; uav; adaptive landing; quadcopter; reconfiguration; parallel robotics; parallel mechanism

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APA (6th Edition):

Arns, M. (2019). Novel Reconfigurable Delta Robot Dual-Functioning as Adaptive Landing Gear and Manipulator. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/36342

Chicago Manual of Style (16th Edition):

Arns, Moritz. “Novel Reconfigurable Delta Robot Dual-Functioning as Adaptive Landing Gear and Manipulator.” 2019. Masters Thesis, York University. Accessed April 14, 2021. http://hdl.handle.net/10315/36342.

MLA Handbook (7th Edition):

Arns, Moritz. “Novel Reconfigurable Delta Robot Dual-Functioning as Adaptive Landing Gear and Manipulator.” 2019. Web. 14 Apr 2021.

Vancouver:

Arns M. Novel Reconfigurable Delta Robot Dual-Functioning as Adaptive Landing Gear and Manipulator. [Internet] [Masters thesis]. York University; 2019. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10315/36342.

Council of Science Editors:

Arns M. Novel Reconfigurable Delta Robot Dual-Functioning as Adaptive Landing Gear and Manipulator. [Masters Thesis]. York University; 2019. Available from: http://hdl.handle.net/10315/36342

13. Rasouli, Amir. Attention and Sensor Planning in Autonomous Robotic Visual Search.

Degree: MASc - Master of Applied Science, Computer Engineering, 2015, York University

 This thesis is concerned with the incorporation of saliency in visual search and the development of sensor planning strategies for visual search. The saliency model… (more)

Subjects/Keywords: Robotics; Artificial intelligence; Computer engineering; Robotic; Autonomy; Visual search; Visual attention; Motion planning; Saliency; Sensor planning; Artificial intelligence; 3D search; Object search; Object detection

…57 Figure 3.16: The process of applying saliency to the robotic visual search… …saliency to visual search. 24 3.1 Saliency in Robotic Visual Search In the computer vision… …List of Figures Figure 3.1: The application of an operation to the search environment… …96 Figure 5.6: The search using 𝑆 Part 1… …97 Figure 5.7: The search using 𝑆 Part 2… 

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APA (6th Edition):

Rasouli, A. (2015). Attention and Sensor Planning in Autonomous Robotic Visual Search. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/30014

Chicago Manual of Style (16th Edition):

Rasouli, Amir. “Attention and Sensor Planning in Autonomous Robotic Visual Search.” 2015. Masters Thesis, York University. Accessed April 14, 2021. http://hdl.handle.net/10315/30014.

MLA Handbook (7th Edition):

Rasouli, Amir. “Attention and Sensor Planning in Autonomous Robotic Visual Search.” 2015. Web. 14 Apr 2021.

Vancouver:

Rasouli A. Attention and Sensor Planning in Autonomous Robotic Visual Search. [Internet] [Masters thesis]. York University; 2015. [cited 2021 Apr 14]. Available from: http://hdl.handle.net/10315/30014.

Council of Science Editors:

Rasouli A. Attention and Sensor Planning in Autonomous Robotic Visual Search. [Masters Thesis]. York University; 2015. Available from: http://hdl.handle.net/10315/30014

.