Course of Study for the Robotics Ph.D. Program.
PhD Thesis A Proposal of a Behavior-based Control Architecture with Reinforcement Learning for an Autonomous Underwater Robot Thesis presented by Marc Carreras P erez, to obtain the degree of: PhD in Computer Engineering. Supervisor: Dr. Pere Ridao Rodr guez Girona, May 2003. Tomyfamily, andespecially, toPepa. Acknowledgements I would like to express in these lines my gratitude to those.
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Technological advances in cloud technology, robotics, and telecommunications could provide for new and interesting applications. This thesis investigates how a combination of these areas can be utilized in order to improve performance in a smart manufacturing setting. In doing so, an architecture based on the Actor model has been used. The proposed architecture is both described from a.
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Ph.D Theses. Robust Motion Generation for Mobile Manipulation — Integrating Control and Planning under Uncertainty. Arne Sieverling, 2018. This thesis contributes to algorithmic approaches for the motion generation problem for mobile manipulators. This problem is unsolved in unstructured environments, where the robot does not have access to precise models but must infer the state of the.
See Details (Details) Download Article (PDF) BibTeX Reference (BibTex) Gomez-Gonzalez, S. (2019). Real Time Probabilistic Models for Robot Trajectories, Ph.D. Thesis. See Details (Details) BibTeX Reference (BibTex) Parisi, S. (2019). Reinforcement Learning with Sparse and Multiple Rewards, PhD Thesis.
The Agile Robotics for Logistics effort (2008-2011) was a project at Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT that developed a voice-commandable robotic forklift for the purposes of improving the efficiency and safety of logistics operations in unstructured and semi-structured outdoor environments, such as those associated with disaster relief and the military.