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检索条件"机构=Computational Learning and Motor Control"
70 条 记 录,以下是31-40 订阅
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Probabilistic Object Tracking using a Range Camera
Probabilistic Object Tracking using a Range Camera
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Manuel Wuthrich Peter Pastor Mrinal Kalakrishnan Jeannette Bohg Stefan Schaal Autonomous Motion Department at the Max-Planck-Institute for Intelligent Systems Tubingen Germany Computational Learning and Motor Control lab at the University of Southern California Los Angeles CA USA
We address the problem of tracking the 6-DoF pose of an object while it is being manipulated by a human or a robot. We use a dynamic Bayesian network to perform inference and compute a posterior distribution over the ... 详细信息
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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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Towards Associative Skill Memories
Towards Associative Skill Memories
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IEEE-RAS International Conference on Humanoid Robots
作者: Peter Pastor Mrinal Kalakrishnan Ludovic Righetti Stefan Schaal Computational Learning and Motor Control Lab University of Southern California Los Angeles USA
Movement primitives as basis of movement planning and control have become a popular topic in recent years. The key idea of movement primitives is that a rather small set of stereotypical movements should suffice to cr... 详细信息
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Quadratic programming for inverse dynamics with optimal distribution of contact forces
Quadratic programming for inverse dynamics with optimal dist...
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IEEE-RAS International Conference on Humanoid Robots
作者: Ludovic Righetti Stefan Schaal Computational Learning and Motor Control Lab University of Southern California Los Angeles USA
In this contribution we propose an inverse dynamics controller for a humanoid robot that exploits torque redundancy to minimize any combination of linear and quadratic costs in the contact forces and the commands. In ... 详细信息
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Movement segmentation and recognition for imitation learning  15
Movement segmentation and recognition for imitation learning
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15th International Conference on Artificial Intelligence and Statistics, AISTATS 2012
作者: Meier, Franziska Theodorou, Evangelos Schaal, Stefan Computational Learning and Motor Control Lab University of Southern California Los Angeles United States Department of Computer Science and Engineering University of Washington Seattle United States Max-Planck-Institute for Intelligent Systems Tübingen Germany
In human movement learning, it is most common to teach constituent elements of complex movements in isolation, before chaining them into complex movements. Segmentation and recognition of observed movement could thus ... 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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Encoding of periodic and their transient motions by a single dynamic movement primitive
Encoding of periodic and their transient motions by a single...
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IEEE-RAS International Conference on Humanoid Robots
作者: Johannes Ernesti Ludovic Righetti Martin Do Tamim Asfour Stefan Schaal Karlsruher Institut fur Technologie Karlsruhe Baden-Württemberg DE Computational Learning and Motor Control Lab University of Southern California Los Angeles California Institute for Anthropomatics Karlsruhe Institute of Technology Germany
Present formulations of periodic dynamic movement primitives (DMPs) do not encode the transient behavior required to start the rhythmic motion, although these transient movements are an important part of the rhythmic ...
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Hierarchical reinforcement learning with movement primitives
Hierarchical reinforcement learning with movement primitives
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2011 11th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS 2011
作者: Stulp, Freek Schaal, Stefan Computational Learning and Motor Control Lab. University of Southern California Los Angeles CA 90089 United States
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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An iterative path integral stochastic optimal control approach for learning robotic tasks
An iterative path integral stochastic optimal control approa...
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作者: Theodorou, Evangelos Stulp, Freek Buchli, Jonas Schaal, Stefan Computational Learning and Motor Control Lab. University of Southern California United States Department of Advanced Robotics Italian Institute of Technology Italy ATR Computational Neuroscience Laboratories Kyoto 619-0288 Japan
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 spaces. The p... 详细信息
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