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检索条件"机构=Computational Learning and Motor Control lab"
48 条 记 录,以下是41-50 订阅
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Toward simple control for complex, autonomous robotic applications: Combining discrete and rhythmic motor primitives
Toward simple control for complex, autonomous robotic applic...
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作者: Degallier, Sarah Righetti, Ludovic Gay, Sebastien Ijspeert, Auke CNBI Laboratory School of Engineering EPFL Ecole Polytechnique Fédérale de Lausanne Lausanne 1015 Switzerland Biorobotics Laboratory School of Engineering EPFL Ecole Polytechnique Fédérale de Lausanne Lausanne 1015 Switzerland Computational Learning and Motor Control Lab Computer Science Neurosciences and Biomedical Engineering University of Southern California Los Angeles CA 90089 United States
Vertebrates are able to quickly adapt to new environments in a very robust, seemingly effortless way. To explain both this adaptivity and robustness, a very promising perspective in neurosciences is the modular approa... 详细信息
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Reinforcement learning of full-body humanoid motor skills
Reinforcement learning of full-body humanoid motor skills
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2010 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2010
作者: Stulp, Freek Buchli, Jonas Theodorou, Evangelos Schaal, Stefan Computational Learning and Motor Control Lab University of Southern California Los Angeles CA 90089 United States
Applying reinforcement learning to humanoid robots is challenging because humanoids have a large number of degrees of freedom and state and action spaces are continuous. Thus, most reinforcement learning algorithms wo... 详细信息
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Compliant control for quadrupedal walking over rough terrain  13th
Compliant control for quadrupedal walking over rough terrain
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13th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2010
作者: Buchli, Jonas Kalakrishnan, Mrinal Mistry, Michael Pastor, Peter Schaal, Stefan Computational Learning and Motor Control Lab University of Southern California Los AngelesCA90089 United States Disney Research PittsburghPA15213 United States
An often used stability criterion in legged locomotion is the zero moment point (ZMP). The ZMP is a virtual point calculated based on the center of gravity (COG) position and acceleration and must be kept within the s... 详细信息
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Reinforcement learning of full-body humanoid motor skills
Reinforcement learning of full-body humanoid motor skills
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IEEE-RAS International Conference on Humanoid Robots
作者: Freek Stulp Jonas Buchli Evangelos Theodorou Stefan Schaal Computational Learning and Motor Control Lab University of Southern California Los Angeles CA
Applying reinforcement learning to humanoid robots is challenging because humanoids have a large number of degrees of freedom and state and action spaces are continuous. Thus, most reinforcement learning algorithms wo... 详细信息
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Stochastic differential dynamic programming
Stochastic differential dynamic programming
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作者: Theodorou, Evangelos Tassa, Yuval Todorov, Emo Departments of Computer Science and Neuroscience Computational Learning and Motor Control Lab. University of Southern California United States Interdisciplinary Center for Neural Computation Hebrew University Jerusalem Israel Department of Computer Science and Engineering University of Washington Seattle WA United States
Although there has been a significant amount of work in the area of stochastic optimal control theory towards the development of new algorithms, the problem of how to control a stochastic nonlinear system remains an o... 详细信息
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Stochastic Differential Dynamic Programming
Stochastic Differential Dynamic Programming
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American control Conference
作者: Evangelos Theodorou Yuval Tassa Emo Todorov Computational Learning and Motor Control Lab Departments of Computer Science and Neuroscience University of Southern California Interdisciplinary Center for Neural Computation Hebrew University Jerusalem Israel Department of Computer Science and Engineering and the Department of Applied Mathematics University of Washington Seattle WA
Although there has been a significant amount of work in the area of stochastic optimal control theory towards the development of new algorithms, the problem of how to control a stochastic nonlinear system remains an o... 详细信息
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Compact models of motor primitive variations for predictable reaching and obstacle avoidance
Compact models of motor primitive variations for predictable...
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9th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS09
作者: Stulp, Freek Oztop, Erhan Pastor, Peter Beetz, Michael Schaaz, Stefan Computational Learning and Motor Control Lab. University of Southern California Los Angeles CA United States Kyoto Japan Computational Neuroscience Laboratories Advanced Telecommunications Research Institute International Kyoto Japan Intelligent Autonomous Systems Group Technische Universitdt Munchen Munich Germany
In most activities of daily living, related tasks are encountered over and over again. This regularity allows humans and robots to reuse existing solutions for known recurring tasks. We expect that reusing a set of st... 详细信息
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Editorial
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International Journal of Humanoid Robotics 2005年 第4期2卷 389-390页
作者: CHENG, GORDON SCHAAL, STEFAN ATKESON, CHRISTOPHER G. JST-ICORP Computational Brain Project ATR Computational Neuroscience Laboratory 2-2-2 Keihanna Science City Soraku-gun Kyoto619-0288 Japan Computational Learning and Motor Control Lab University of Southern California Hedco Neurosciences Building HNB-103 3641 Watt Way Los AngelesCA90089-2520 United States Robotics Institute Carnegie Mellon University 5000 Forbes Avenue PittsburghPA15213 United States
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