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检索条件"机构=Department of Humanoid Robotics and Computational Neuroscience"
23 条 记 录,以下是1-10 订阅
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A simple reinforcement learning algorithm for biped walking
A simple reinforcement learning algorithm for biped walking
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IEEE International Conference on robotics and Automation
作者: Morimoto, J Cheng, G Atkeson, CG Zeglin, G Department of Humanoid Robotics ATR Computational Neuroscience Labs. Japan Robotics Institute Carnegie Mellon University United States
We propose a model-based reinforcement learning algorithm for biped walking in which the robot learns to appropriately place the swing leg. This decision is based on a learned model of the Poincare map of the periodic... 详细信息
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LEARNING to ACT from OBSERVATION and PRACTICE
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International Journal of humanoid robotics 2004年 第4期1卷 585-611页
作者: Bentivegna, Darrin C. Atkeson, Christopher G. Ude, Aleš Cheng, Gordon ATR Computational Neuroscience Laboratories Department of Humanoid Robotics and Computational Neuroscience Kyoto619-0288 Japan Computational Brain Project ICORP Japan Science and Technology Agency Kyoto Japan Carnegie Mellon University Robotics Institute PittsburghPA United States Jozef Stefan Institute Department of Automatics Biocybernetics and Robotics Ljubljana Slovenia
We present a method for humanoid robots to quickly learn new dynamic tasks from observing others and from practice. Ways in which the robot can adapt to initial and also changing conditions are described. Agents are g... 详细信息
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HAND-EYE COORDINATION THROUGH ENDPOINT CLOSED-LOOP and LEARNED ENDPOINT OPEN-LOOP VISUAL SERVO CONTROL
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International Journal of humanoid robotics 2005年 第2期2卷 203-224页
作者: Gaskett, Chris Ude, Aleš Cheng, Gordon James Cook University School of Information Technology CairnsQLD Australia ATR Computational Neuroscience Laboratories Department of Humanoid Robotics and Computational Neuroscience 2-2-2 Hikaridai Seika-cho Soraku-gun Kyoto619-0288 Japan Computational Brain Project ICORP Japan Science and Technology Agency Kyoto Japan
We propose a hand-eye coordination system for a humanoid robot that supports bimanual reaching. The system combines endpoint closed-loop and open-loop visual servo control. The closed-loop component moves the eyes, he... 详细信息
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A simple reinforcement learning algorithm for biped walking
A simple reinforcement learning algorithm for biped walking
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IEEE International Conference on robotics and Automation (ICRA)
作者: J. Morimoto G. Cheng C.G. Atkeson G. Zeglin Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories Japan The Robotics Institute Carnegie Mellon University USA
We propose a model-based reinforcement learning algorithm for biped walking in which the robot learns to appropriately place the swing leg. This decision is based on a learned model of the Poincare map of the periodic... 详细信息
来源: 评论
Compliant control of a hydraulic humanoid joint
Compliant control of a hydraulic humanoid joint
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IEEE-RAS International Conference on humanoid Robots
作者: Darrin C. Bentivegna Christopher G. Atkeson Jung-Yup Kim Robotics Institute Carnegie Mellon University Pittsburgh PA USA Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories Kyoto Japan
This paper presents an analysis of a hydraulic joint on a humanoid robot. Various controllers have been designed that allow the limb to have a range of characteristics such as being stiff or compliant.
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Online gain switching algorithm for joint position control of a hydraulic humanoid robot
Online gain switching algorithm for joint position control o...
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IEEE-RAS International Conference on humanoid Robots
作者: Jung-Yup Kim Christopher G. Atkeson Jessica K. Hodgins Darrin C. Bentivegna Sung Ju Cho Robotics Institute Carnegie Mellon University Pittsburgh PA USA Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories Kyoto Japan
This paper proposes a gain switching algorithm for joint position control of a hydraulic humanoid robot. Accurate position control of the lower body is one of the basic requirements for robust balance and walking cont... 详细信息
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Object recognition on humanoids with poveated vision
Object recognition on humanoids with poveated vision
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IEEE-RAS International Conference on humanoid Robots
作者: A. Ude G. Gheng Department of Automatics Joåâef Stefan Institute Ljubljana Slovenia Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories Kyoto Japan
Object recognition requires a robot to perform a number of nontrivial tasks such as finding objects of interest, directing its eyes towards the objects, pursuing them, and identifying the objects once they appear in t... 详细信息
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Active 3-D vision on a humanoid head
Active 3-D vision on a humanoid head
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International Conference on Advanced robotics (ICAR)
作者: Ales Ude Erhan Oztop Department of Automatics Biocybernetics and Robotics Jožef Stefan Institute Slovenia Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories Japan ICORP Computational Brain project Japan Science and Technology Agency Japan
In this paper we describe and experimentally evaluate how to model, control, and use the capabilities of a humanoid visual system with foveated vision. We present a computational process that can be utilized to identi... 详细信息
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Learning from observation and from practice using behavioral primitives
Springer Tracts in Advanced Robotics
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Springer Tracts in Advanced robotics 2005年 15卷 551-560页
作者: Bentivegna, Darrin Cheng, Gordon Atkeson, Christopher ATR Computational Neuroscience Laboratories Department of Humanoid Robotics and Computational Neuroscience Kyoto Japan College of Computing Georgia Institute of Technology Atlanta GA United States Robotics Institute Carnegie Mellon University Pittsburgh PA United States
We describe a memory-based approach to learning how to select and provide subgoals for behavioral primitives, given an existing library of primitives. We demonstrate both learning from observation and learning from pr... 详细信息
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Learning Similar Tasks From Observation and Practice
Learning Similar Tasks From Observation and Practice
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2006 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Darrin C. Bentivegna Christopher G. Atkeson Gordon Cheng Robotics Institute Carnegie Mellon University Pittsburgh PA USA Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories Kyoto Japan ICORP Japan Science and Technology Agency Kyoto Japan
This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize across tasks and global features to lear... 详细信息
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