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检索条件"机构=Computational Learning and Motor Control Laboratory"
21 条 记 录,以下是1-10 订阅
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learning task error models for manipulation
Learning task error models for manipulation
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Peter Pastor Mrinal Kalakrishnan Jonathan Binney Jonathan Kelly Ludovic Righetti Gaurav Sukhatme Stefan Schaal Computational Learning and Motor Control Laboratory University of Southern California Los Angeles CA USA Robotic Embedded Systems Laboratory University of Southern California Los Angeles CA USA University of Southern California Los Angeles CA US
Precise kinematic forward models are important for robots to successfully perform dexterous grasping and manipulation tasks, especially when visual servoing is rendered infeasible due to occlusions. A lot of research ... 详细信息
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Hypothesis testing framework for active object detection
Hypothesis testing framework for active object detection
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Nikolay Atanasov Bharath Sankaran Jerome Le Ny Thomas Koletschka George J. Pappas Kostas Daniilidis Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA Computational Learning and Motor Control Laboratory University of Southern California Los Angeles CA USA Department of Electrical Engineering Ecole Polytechnique de Montreal QUE Canada Department of Computer and Information Science University of Pennsylvania Philadelphia PA USA
One of the central problems in computer vision is the detection of semantically important objects and the estimation of their pose. Most of the work in object detection has been based on single image processing and it... 详细信息
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Probabilistic depth image registration incorporating nonvisual information
Probabilistic depth image registration incorporating nonvisu...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Manuel Wüthrich Peter Pastor Ludovic Righetti Aude Billard Stefan Schaal Faculty of Micro Engineering EPF Lausanne Switzerland Computational Learning and Motor Control Laboratory (CLMC) USC USA Learning Algorithms and Systems Laboratory (LASA) EPF Lausanne Switzerland
In this paper, we derive a probabilistic registration algorithm for object modeling and tracking. In many robotics applications, such as manipulation tasks, nonvisual information about the movement of the object is av... 详细信息
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learning force control policies for compliant manipulation
Learning force control policies for compliant manipulation
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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
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Hierarchical reinforcement learning with movement primitives
Hierarchical reinforcement learning with movement primitives
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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
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learning motion primitive goals for robust manipulation
Learning motion primitive goals for robust manipulation
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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
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Movement segmentation using a primitive library
Movement segmentation using a primitive library
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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
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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 impedance control in stochastic force fields
Reinforcement learning of impedance control in stochastic fo...
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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
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control of legged robots with optimal distribution of contact forces
Control of legged robots with optimal distribution of contac...
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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
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