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You searched for +publisher:"Georgia Tech" +contributor:("Hutchinson, Seth"). Showing records 1 – 11 of 11 total matches.

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Georgia Tech

1. Mehmood, Areeb. Balancing and grasping from visual feedback for an unstable wheeled humanoid.

Degree: MS, Mechanical Engineering, 2019, Georgia Tech

 Krang is a Wheeled Inverted Pendulum Humanoid, designed to accomplish strenuous tasks quicker, and with more strength, than the average human being. Weighing over 300lbs,… (more)

Subjects/Keywords: Visual feedback; Localization; Balancing; Humanoid; Robot; Visual-servo; Grasping

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APA (6th Edition):

Mehmood, A. (2019). Balancing and grasping from visual feedback for an unstable wheeled humanoid. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62289

Chicago Manual of Style (16th Edition):

Mehmood, Areeb. “Balancing and grasping from visual feedback for an unstable wheeled humanoid.” 2019. Masters Thesis, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/62289.

MLA Handbook (7th Edition):

Mehmood, Areeb. “Balancing and grasping from visual feedback for an unstable wheeled humanoid.” 2019. Web. 24 Jan 2021.

Vancouver:

Mehmood A. Balancing and grasping from visual feedback for an unstable wheeled humanoid. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/62289.

Council of Science Editors:

Mehmood A. Balancing and grasping from visual feedback for an unstable wheeled humanoid. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62289


Georgia Tech

2. Zhong, Hai. Congestion game-based task allocation for multi-robot teams.

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

 Multi-robot teams can complete complex missions that are not amenable to an individual robot. A team of heterogeneous robots with complementing capabilities is endowed with… (more)

Subjects/Keywords: Multi-robot systems; Task allocation; Congestion games

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APA (6th Edition):

Zhong, H. (2020). Congestion game-based task allocation for multi-robot teams. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62843

Chicago Manual of Style (16th Edition):

Zhong, Hai. “Congestion game-based task allocation for multi-robot teams.” 2020. Masters Thesis, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/62843.

MLA Handbook (7th Edition):

Zhong, Hai. “Congestion game-based task allocation for multi-robot teams.” 2020. Web. 24 Jan 2021.

Vancouver:

Zhong H. Congestion game-based task allocation for multi-robot teams. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/62843.

Council of Science Editors:

Zhong H. Congestion game-based task allocation for multi-robot teams. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62843


Georgia Tech

3. Azimi, Vahid. Model-based robust and adaptive control of transfemoral prostheses: Theory, simulation, and experiments.

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

 This thesis presents and experimentally implements five different robust, adaptive, and robust adaptive controllers as the first steps towards using model-based controllers for transfemoral prostheses.… (more)

Subjects/Keywords: Adaptive and robust control; Hybrid system; Transfemoral prosthesis; Walking biped

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APA (6th Edition):

Azimi, V. (2020). Model-based robust and adaptive control of transfemoral prostheses: Theory, simulation, and experiments. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62747

Chicago Manual of Style (16th Edition):

Azimi, Vahid. “Model-based robust and adaptive control of transfemoral prostheses: Theory, simulation, and experiments.” 2020. Masters Thesis, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/62747.

MLA Handbook (7th Edition):

Azimi, Vahid. “Model-based robust and adaptive control of transfemoral prostheses: Theory, simulation, and experiments.” 2020. Web. 24 Jan 2021.

Vancouver:

Azimi V. Model-based robust and adaptive control of transfemoral prostheses: Theory, simulation, and experiments. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/62747.

Council of Science Editors:

Azimi V. Model-based robust and adaptive control of transfemoral prostheses: Theory, simulation, and experiments. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62747


Georgia Tech

4. Song, Tao. Design and Test of A Bat Robot.

Degree: MS, Mechanical Engineering, 2020, Georgia Tech

 This thesis presents a new structure to improve the performance of a biologically inspired bat robot called Bat Bot (B2). In the previous work, a… (more)

Subjects/Keywords: biomimetic; robot

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APA (6th Edition):

Song, T. (2020). Design and Test of A Bat Robot. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62804

Chicago Manual of Style (16th Edition):

Song, Tao. “Design and Test of A Bat Robot.” 2020. Masters Thesis, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/62804.

MLA Handbook (7th Edition):

Song, Tao. “Design and Test of A Bat Robot.” 2020. Web. 24 Jan 2021.

Vancouver:

Song T. Design and Test of A Bat Robot. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/62804.

Council of Science Editors:

Song T. Design and Test of A Bat Robot. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62804


Georgia Tech

5. Jain, Abhinav. Search-based collision-free motion planning for robotic sculpting.

Degree: MS, Interactive Computing, 2020, Georgia Tech

 In this work, I explore the task of robot sculpting. I propose a search-based planning algorithm to solve the problem of sculpting by material removal… (more)

Subjects/Keywords: Robotics; Motion planning; Machining; CNC; Sculpture; Sculpting

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APA (6th Edition):

Jain, A. (2020). Search-based collision-free motion planning for robotic sculpting. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63698

Chicago Manual of Style (16th Edition):

Jain, Abhinav. “Search-based collision-free motion planning for robotic sculpting.” 2020. Masters Thesis, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/63698.

MLA Handbook (7th Edition):

Jain, Abhinav. “Search-based collision-free motion planning for robotic sculpting.” 2020. Web. 24 Jan 2021.

Vancouver:

Jain A. Search-based collision-free motion planning for robotic sculpting. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/63698.

Council of Science Editors:

Jain A. Search-based collision-free motion planning for robotic sculpting. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63698


Georgia Tech

6. Cheng, Ching An. Efficient and principled robot learning: Theory and algorithms.

Degree: PhD, Interactive Computing, 2020, Georgia Tech

 Roboticists have long envisioned fully-automated robots that can operate reliably in unstructured environments. This is an exciting but extremely difficult problem; in order to succeed,… (more)

Subjects/Keywords: Online learning; Control theory; Robotics; Optimization; Reinforcement learning; Imitation learning

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APA (6th Edition):

Cheng, C. A. (2020). Efficient and principled robot learning: Theory and algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62733

Chicago Manual of Style (16th Edition):

Cheng, Ching An. “Efficient and principled robot learning: Theory and algorithms.” 2020. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/62733.

MLA Handbook (7th Edition):

Cheng, Ching An. “Efficient and principled robot learning: Theory and algorithms.” 2020. Web. 24 Jan 2021.

Vancouver:

Cheng CA. Efficient and principled robot learning: Theory and algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/62733.

Council of Science Editors:

Cheng CA. Efficient and principled robot learning: Theory and algorithms. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62733


Georgia Tech

7. Zafar, Munzir. Whole body control of wheeled inverted pendulum humanoids.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 A framework for controlling a Wheeled Inverted Pendulum (WIP) Humanoid to perform useful interactions with the environment, while dynamically balancing itself on two wheels, was… (more)

Subjects/Keywords: Whole body control; Wheeled inverted pendulum; Humanoids; Hierarchical; Optimization; Operational space; Model predictive control

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APA (6th Edition):

Zafar, M. (2019). Whole body control of wheeled inverted pendulum humanoids. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61739

Chicago Manual of Style (16th Edition):

Zafar, Munzir. “Whole body control of wheeled inverted pendulum humanoids.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/61739.

MLA Handbook (7th Edition):

Zafar, Munzir. “Whole body control of wheeled inverted pendulum humanoids.” 2019. Web. 24 Jan 2021.

Vancouver:

Zafar M. Whole body control of wheeled inverted pendulum humanoids. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/61739.

Council of Science Editors:

Zafar M. Whole body control of wheeled inverted pendulum humanoids. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61739


Georgia Tech

8. Mayya, Siddharth. Local encounters in robot swarms: From localization to density regulation.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 In naturally occurring swarms – living as well as non-living – local proximity encounters among individuals or particles in the collective facilitate a broad range of emergent… (more)

Subjects/Keywords: Robotics; Systems and control; Swarm robotics; Biologically-inspired robotics; Local encounters

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APA (6th Edition):

Mayya, S. (2019). Local encounters in robot swarms: From localization to density regulation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62343

Chicago Manual of Style (16th Edition):

Mayya, Siddharth. “Local encounters in robot swarms: From localization to density regulation.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/62343.

MLA Handbook (7th Edition):

Mayya, Siddharth. “Local encounters in robot swarms: From localization to density regulation.” 2019. Web. 24 Jan 2021.

Vancouver:

Mayya S. Local encounters in robot swarms: From localization to density regulation. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/62343.

Council of Science Editors:

Mayya S. Local encounters in robot swarms: From localization to density regulation. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62343


Georgia Tech

9. Santos Fernandez, Maria Teresa. Coverage control: From heterogeneous robot teams to expressive swarms.

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

 Coverage control constitutes a canonical multi-robot coordination strategy that allows a collection of robots to distribute themselves over a domain to optimally monitor the relevant… (more)

Subjects/Keywords: Robotics; Systems and controls; Swarm robotics; Heterogeneous multi-robot systems; Robots and arts

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APA (6th Edition):

Santos Fernandez, M. T. (2020). Coverage control: From heterogeneous robot teams to expressive swarms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63690

Chicago Manual of Style (16th Edition):

Santos Fernandez, Maria Teresa. “Coverage control: From heterogeneous robot teams to expressive swarms.” 2020. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/63690.

MLA Handbook (7th Edition):

Santos Fernandez, Maria Teresa. “Coverage control: From heterogeneous robot teams to expressive swarms.” 2020. Web. 24 Jan 2021.

Vancouver:

Santos Fernandez MT. Coverage control: From heterogeneous robot teams to expressive swarms. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/63690.

Council of Science Editors:

Santos Fernandez MT. Coverage control: From heterogeneous robot teams to expressive swarms. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63690


Georgia Tech

10. Notomista, Gennaro. Long-duration robot autonomy: From control algorithms to robot design.

Degree: PhD, Mechanical Engineering, 2020, Georgia Tech

 The transition that robots are experiencing from controlled and often static working environments to unstructured and dynamic settings is unveiling the potential fragility of the… (more)

Subjects/Keywords: Robotics; Control theory; Long-term robot deployment

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APA (6th Edition):

Notomista, G. (2020). Long-duration robot autonomy: From control algorithms to robot design. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63700

Chicago Manual of Style (16th Edition):

Notomista, Gennaro. “Long-duration robot autonomy: From control algorithms to robot design.” 2020. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/63700.

MLA Handbook (7th Edition):

Notomista, Gennaro. “Long-duration robot autonomy: From control algorithms to robot design.” 2020. Web. 24 Jan 2021.

Vancouver:

Notomista G. Long-duration robot autonomy: From control algorithms to robot design. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/63700.

Council of Science Editors:

Notomista G. Long-duration robot autonomy: From control algorithms to robot design. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63700

11. Glotfelter, Paul. Specification composition and controller synthesis for robotic systems.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 From precision agriculture to autonomous-transportation systems, robotic systems have been proposed to accomplish a number of tasks. However, these systems typically require satisfaction of multiple… (more)

Subjects/Keywords: Boolean composition; Nonsmooth analysis; Differential inclusions; Multi-robot systems; Robotic systems; Collision avoidance; Leader follower

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APA (6th Edition):

Glotfelter, P. (2019). Specification composition and controller synthesis for robotic systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61238

Chicago Manual of Style (16th Edition):

Glotfelter, Paul. “Specification composition and controller synthesis for robotic systems.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2021. http://hdl.handle.net/1853/61238.

MLA Handbook (7th Edition):

Glotfelter, Paul. “Specification composition and controller synthesis for robotic systems.” 2019. Web. 24 Jan 2021.

Vancouver:

Glotfelter P. Specification composition and controller synthesis for robotic systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/1853/61238.

Council of Science Editors:

Glotfelter P. Specification composition and controller synthesis for robotic systems. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61238

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