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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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Two Ways of Walking: Contrasting a Reflexive Neuro-Controller and a LIP-Based ZMP-Controller on the humanoid Robot ARMAR-4
Two Ways of Walking: Contrasting a Reflexive Neuro-Controlle...
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IEEE-RAS International Conference on humanoid Robots
作者: Cornelius Goldbeck Lukas Kaul Nikolaus Vahrenkamp Florentin Worgotter Tamim Asfour Jan-Matthias Braun High Performance Humanoid Technologies Lab Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology (KIT) Department of Computational Neuroscience at the Georg-August-University
Full-size humanoid robots are traditionally controlled with the Zero Moment Point (ZMP)-paradigm and simplified dynamics, a well established method which can be applied to balancing, walking, and whole-body manipulati... 详细信息
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Accelerating synchronization of movement primitives: Dual-arm discrete-periodic motion of a humanoid robot
Accelerating synchronization of movement primitives: Dual-ar...
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: A. Gams A. Ude J. Morimoto Humanoid and Cognitive Robotics Lab Biocybernetics and Robotics Jozef Stefan Institute Ljubljana Slovenia Department of Brain Robot Interface (BRI) ATR Computational Neuroscience Labs Kyoto Japan Department of Brain Robot Interface (BRI) ATR Computational Neuroscience Labs Kyoto Japan
Human-demonstrated motion transferred to a robotic platform often needs to be adapted to the current state of the environment or to modified task requirements. Adaptation, i. e. learning of a modified behavior, needs ... 详细信息
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Summary for the Dagstuhl Seminar Cognition, Control and Learning for Robot Manipulation in Human Environments
Summary for the Dagstuhl Seminar Cognition, Control and Lear...
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Cognition, Control and Learning for Robot Manipulation in Human Environments 2009
作者: Beetz, Michael Brock, Oliver Peters, Jan Cheng, Gordon Technische Universität München Computer Science Department IX Boltzmannstr. 3 Garching b MünchenD-85748 Germany Department of Computer Science University of Massachusetts Amherst 140 Governors Drive AmherstMA01003 United States Department for Empirical Inference Max-Planck-Institute for Biological Cybernetics Spemannstr. 38 Tübingen72076 Germany Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories 2-2-2 Hikaridai Seika-cho Soraku-gun Kyoto619-0288 Japan
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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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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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Exploiting similarities for robot perception
Exploiting similarities for robot perception
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2007 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Kai Welke Erhan Oztop Gordon Cheng Rudiger Dillmann IAIM Institute of Computer Science and Engineering (CSE) Karlsruhe Germany JST Computational Brain Project ICORP Kawaguchi Saitama Japan Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories Soraku-gun Kyoto Japan
A cognitive robot system has to acquire and efficiently store vast knowledge about the world it operates in. To cope with every day tasks, a robot needs to learn, classify and recognize a manifold of different objects... 详细信息
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Synthesizing goal-directed actions from a library of example movements
Synthesizing goal-directed actions from a library of example...
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IEEE-RAS International Conference on humanoid Robots
作者: Ales Ude Marcia Riley Bojan Nemec Andrej Kos Tamim Asfour Gordon Cheng Jožýef Stefan Institute Department of Automatics Biocybernetics and Robotics Ljubljana Slovenia Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories Kyoto Japan College of Computing Georgia Institute of Technology Atlanta GA USA Institute of Computer Science and Engineering c/o Technologiefabrik University of Karlsruhe Karlsruhe Germany Japan Science and Technology Agency ICORP Computational Brain Project Kawaguchi Saitama Japan
We present a new learning framework for synthesizing goal-directed actions from example movements. The approach is based on the memorization of training data and locally weighted regression to compute suitable movemen... 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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Unconstrained Real-time Markerless Hand Tracking for humanoid Interaction
Unconstrained Real-time Markerless Hand Tracking for Humanoi...
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IEEE-RAS International Conference on humanoid Robots
作者: Thomas Gumpp Pedram Azad Kai Welke Erhan Oztop Rudiger Dillmann Gordon Cheng Department of Humanoid Robotics and Computational Neuroscience ATR Computational Neuroscience Laboratories Kawaguchi Saitama Japan Institute for Computer Science and Engineering University of Karlsruhe Germany Computational Brain Project JST ICORP Kawaguchi Saitama Japan
Markerless hand tracking of humans can be applied to a broad range of applications, in robotics, animation and natural human-computer interaction. Traditional motion capture and tracking methods involve the usage of d... 详细信息
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