咨询与建议

限定检索结果

文献类型

  • 58 篇 会议
  • 12 篇 期刊文献

馆藏范围

  • 70 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 37 篇 工学
    • 20 篇 控制科学与工程
    • 15 篇 机械工程
    • 12 篇 仪器科学与技术
    • 11 篇 计算机科学与技术...
    • 11 篇 软件工程
    • 5 篇 力学(可授工学、理...
    • 3 篇 电气工程
    • 2 篇 生物医学工程(可授...
    • 2 篇 生物工程
    • 1 篇 动力工程及工程热...
    • 1 篇 电子科学与技术(可...
  • 20 篇 理学
    • 10 篇 系统科学
    • 9 篇 数学
    • 7 篇 物理学
    • 3 篇 生物学
    • 3 篇 统计学(可授理学、...
    • 1 篇 地质学
  • 3 篇 管理学
    • 2 篇 管理科学与工程(可...
    • 2 篇 工商管理
    • 1 篇 图书情报与档案管...
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 医学
    • 1 篇 临床医学

主题

  • 14 篇 trajectory
  • 11 篇 robots
  • 8 篇 humanoid robots
  • 7 篇 dynamics
  • 6 篇 legged locomotio...
  • 6 篇 force
  • 6 篇 computational mo...
  • 6 篇 joints
  • 5 篇 noise
  • 5 篇 learning
  • 5 篇 robustness
  • 4 篇 anthropomorphic ...
  • 4 篇 optimal control
  • 4 篇 torque
  • 4 篇 shape
  • 4 篇 cost function
  • 3 篇 tuning
  • 3 篇 grasping
  • 3 篇 reinforcement le...
  • 3 篇 force control

机构

  • 14 篇 computational le...
  • 7 篇 autonomous motio...
  • 6 篇 computational le...
  • 6 篇 computational le...
  • 6 篇 computational le...
  • 5 篇 computational le...
  • 5 篇 max planck insti...
  • 4 篇 bosch center for...
  • 4 篇 computational le...
  • 4 篇 computational le...
  • 3 篇 university of so...
  • 2 篇 tandon school of...
  • 2 篇 computational le...
  • 2 篇 department of ad...
  • 2 篇 computational le...
  • 2 篇 autonomous motio...
  • 2 篇 disney research ...
  • 2 篇 computational le...
  • 2 篇 interdisciplinar...
  • 2 篇 autonomous motio...

作者

  • 38 篇 stefan schaal
  • 20 篇 schaal stefan
  • 15 篇 ludovic righetti
  • 9 篇 peter pastor
  • 8 篇 evangelos theodo...
  • 8 篇 freek stulp
  • 8 篇 jonas buchli
  • 7 篇 mrinal kalakrish...
  • 6 篇 nicholas rotella
  • 6 篇 righetti ludovic
  • 6 篇 trimpe sebastian
  • 6 篇 jeannette bohg
  • 5 篇 marco alonso
  • 4 篇 franziska meier
  • 4 篇 theodorou evange...
  • 4 篇 michael mistry
  • 4 篇 sean mason
  • 4 篇 stulp freek
  • 4 篇 buchli jonas
  • 3 篇 sebastian trimpe

语言

  • 69 篇 英文
  • 1 篇 中文
检索条件"机构=Computational Learning and Motor Control"
70 条 记 录,以下是41-50 订阅
排序:
learning force control policies for compliant manipulation
Learning force control policies for compliant manipulation
收藏 引用
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Mrinal Kalakrishnan Ludovic Righetti Peter Pastor Stefan Schaal Computational Learning and Motor Control laboratory University of Southern California Los Angeles CA USA
Developing robots capable of fine manipulation skills is of major importance in order to build truly assistive robots. These robots need to be compliant in their actuation and control in order to operate safely in hum... 详细信息
来源: 评论
Hierarchical reinforcement learning with movement primitives
Hierarchical reinforcement learning with movement primitives
收藏 引用
IEEE-RAS International Conference on Humanoid Robots
作者: Freek Stulp Stefan Schaal Computational Learning and Motor Control Laboratory University of Southern California Los Angeles CA USA
Temporal abstraction and task decomposition drastically reduce the search space for planning and control, and are fundamental to making complex tasks amenable to learning. In the context of reinforcement learning, tem... 详细信息
来源: 评论
learning to Grasp under Uncertainty
Learning to Grasp under Uncertainty
收藏 引用
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
作者: Freek Stulp Evangelos Theodorou Jonas Buchli Stefan Schaal Computational Learning and Motor Control Lab University of Southern CaliforniaLos AngelesCA 90089
We present an approach that enables robots to learn motion primitives that are robust towards state estimation uncertainties. During reaching and preshaping, the robot learns to use fine manipulation strategies to man... 详细信息
来源: 评论
learning motion primitive goals for robust manipulation
Learning motion primitive goals for robust manipulation
收藏 引用
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Freek Stulp Evangelos Theodorou Mrinal Kalakrishnan Peter Pastor Ludovic Righetti Stefan Schaal Computational Learning and Motor Control laboratory University of Southern California Los Angeles CA USA
Applying model-free reinforcement learning to manipulation remains challenging for several reasons. First, manipulation involves physical contact, which causes discontinuous cost functions. Second, in manipulation, th... 详细信息
来源: 评论
Movement segmentation using a primitive library
Movement segmentation using a primitive library
收藏 引用
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Franziska Meier Evangelos Theodorou Freek Stulp Stefan Schaal Computational Learning and Motor Control laboratory University of Southern California Los Angeles CA USA
Segmenting complex movements into a sequence of primitives remains a difficult problem with many applications in the robotics and vision communities. In this work, we show how the movement segmentation problem can be ... 详细信息
来源: 评论
An Iterative Path Integral Stochastic Optimal control Approach for learning Robotic Tasks
收藏 引用
IFAC Proceedings Volumes 2011年 第1期44卷 11594-11601页
作者: Evangelos Theodorou Freek Stulp Jonas Buchli Stefan Schaal Computational Learning and Motor Control Lab University of Southern California USA Department of Advanced Robotics Italian Institute of Technology ATR Computational Neuroscience Laboratories Kyoto 619-0288 Japan
Abstract Recent work on path integral stochastic optimal control theory Theodorou et al. (2010a); Theodorou (2011) has shown promising results in planning and control of nonlinear systems in high dimensional state spa... 详细信息
来源: 评论
control of legged robots with optimal distribution of contact forces
Control of legged robots with optimal distribution of contac...
收藏 引用
2011 11th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS 2011
作者: Righetti, Ludovic Buchli, Jonas Mistry, Michael Schaal, Stefan Computational Learning and Motor Control Lab. University of Southern California Los Angeles CA 90089 United States Max Planck Institute for Intelligent Systems Tübingen Germany Dept. of Advanced Robotics Italian Institute of Technology Genoa Italy Disney Research Pittsburgh Pittsburgh PA 15213 United States
The development of agile and safe humanoid robots require controllers that guarantee both high tracking performance and compliance with the environment. More specifically, the control of contact interaction is of cruc... 详细信息
来源: 评论
Reinforcement learning of impedance control in stochastic force fields
Reinforcement learning of impedance control in stochastic fo...
收藏 引用
IEEE International Conference on Development and learning, ICDL
作者: Freek Stulp Jonas Buchli Alice Ellmer Michael Mistry Evangelos Theodorou Stefan Schaal Computational Learning and Motor Control Laboratory University of Southern California Los Angeles CA USA Department of Advanced Robotics Italian Institute of Technology Genova Italy Disney Research Pittsburgh PA USA
Variable impedance control is essential for ensuring robust and safe physical interaction with the environment. As demonstrated in numerous force field experiments, humans combine two strategies to adapt their impedan... 详细信息
来源: 评论
Toward simple control for complex, autonomous robotic applications: Combining discrete and rhythmic motor primitives
Toward simple control for complex, autonomous robotic applic...
收藏 引用
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
来源: 评论
control of legged robots with optimal distribution of contact forces
Control of legged robots with optimal distribution of contac...
收藏 引用
IEEE-RAS International Conference on Humanoid Robots
作者: Ludovic Righetti Jonas Buchli Michael Mistry Stefan Schaal Computational Learning and Motor Control Laboratory University of Southern California Los Angeles CA USA Department of Advanced Robotics Italian Institute of Technology Genova Italy Disney Research Pittsburgh Pittsburgh PA USA
The development of agile and safe humanoid robots require controllers that guarantee both high tracking performance and compliance with the environment. More specifically, the control of contact interaction is of cruc... 详细信息
来源: 评论