Results 221 to 230 of about 42,816 (266)
Tomato Ripeness Detection and Localization Based on the Intelligent Inspection Robot Platform. [PDF]
Sensors (Basel)Li X, Liang L, Liu Y, Lu J.
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SPHTRLM: secure and privacy-preserving hyperparameter-tuned reinforcement learning method for robot path finding in dynamic environments. [PDF]
Sci RepDewangan RR +6 more
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Robot-assisted reconstruction using ureteroureterostomy and Lich-Gregoir ureteral reimplantation for complicated duplex kidneys in children. [PDF]
PLoS OneLiu H, Tao C, Yan X, Chen G, Zeng G.
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Robotics and Autonomous Systems, 1995
Learning provides a useful tool for the automatic design of autonomous robots. Recent research on learning robot control has predominantly focussed on learning single tasks that were studied in isolation. If robots encounter a multitude of control learning tasks over their entire lifetime there is an opportunity to transfer knowledge between them.
Sebastian Thrun, Tom M. Mitchell
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Learning provides a useful tool for the automatic design of autonomous robots. Recent research on learning robot control has predominantly focussed on learning single tasks that were studied in isolation. If robots encounter a multitude of control learning tasks over their entire lifetime there is an opportunity to transfer knowledge between them.
Sebastian Thrun, Tom M. Mitchell
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IEEE Robotics & Automation Magazine, 2010
Recent trends in robot learning are to use trajectory-based optimal control techniques and reinforcement learning to scale complex robotic systems. On the one hand, increased computational power and multiprocessing, and on the other hand, probabilistic reinforcement learning methods and function approximation, have contributed to a steadily increasing ...
Stefan Schaal, Christopher G. Atkeson
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Recent trends in robot learning are to use trajectory-based optimal control techniques and reinforcement learning to scale complex robotic systems. On the one hand, increased computational power and multiprocessing, and on the other hand, probabilistic reinforcement learning methods and function approximation, have contributed to a steadily increasing ...
Stefan Schaal, Christopher G. Atkeson
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Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007
Ubiquitous robots need the ability to adapt their behaviour to the changing situations and demands they will encounter during their lifetimes. In particular, non-technical users must be able to modify a robot's behaviour to enable it to perform new, previously unknown tasks.
Daniel H. Grollman +1 more
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Ubiquitous robots need the ability to adapt their behaviour to the changing situations and demands they will encounter during their lifetimes. In particular, non-technical users must be able to modify a robot's behaviour to enable it to perform new, previously unknown tasks.
Daniel H. Grollman +1 more
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Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
In many applications of autonomy in robotics, guarantees that constraints are satisfied throughout the learning process are paramount. We present a controller synthesis technique based on the computation of reachable sets, using optimal control and game theory.
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In many applications of autonomy in robotics, guarantees that constraints are satisfied throughout the learning process are paramount. We present a controller synthesis technique based on the computation of reachable sets, using optimal control and game theory.
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Robot Learning in a Social Robot
2006In this paper, research work on Arisco is described Arisco is a social robot built around a robotic head with gesture ability, visual and auditive perception and learning It is intended for interacting with people The general architecture is first described in the paper Then, the learning capacity of Arisco is addressed It learns and performs ...
Salvador Dominguez +3 more
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A foundation for robot learning
The Fourth International Conference on Control and Automation, 2003. ICCA. Final Program and Book of Abstracts., 2003This paper considers the fundamental issues of robot learning in which answers to basic questions on robot learning, such as "What can the robot learn?", "What are the consequences of robot learning?", "How does the robot learn?", "How fast do robots need to learn?", and "When do robots learn?" are addressed.
null Siang Kok Sim +2 more
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