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检索条件"机构=Learning Algorithms and Systems Laboratory-LASA"
35 条 记 录,以下是1-10 订阅
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learning to control planar hitting motions in a minigolf-like task
Learning to control planar hitting motions in a minigolf-lik...
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2011 IEEE/RSJ International Conference on Intelligent Robots and systems
作者: Klas Kronander Mohammad S.M. Khansari-Zadeh Aude Billard Learning Algorithms and Systems Laboratory (LASA) Ecole Polytechnique Federale de Lausanne Switzerland
A current trend in robotics is to define robot tasks using a combination of superimposed motion patterns. For maximum versatility of such motion patterns, they should be easily and efficiently adaptable for situations... 详细信息
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Transfer in Inverse Reinforcement learning for Multiple Strategies
Transfer in Inverse Reinforcement Learning for Multiple Stra...
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IEEE/RSJ International Conference on Intelligent Robots and systems
作者: Ajay Kumar Tanwani Aude Billard Learning Algorithms and Systems Laboratory (LASA) Ecole Polytechnique Federale de Lausanne Switzerland
We consider the problem of incrementally learning different strategies of performing a complex sequential task from multiple demonstrations of an expert or a set of experts. While the task is the same, each expert dif... 详细信息
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learning Coupled Dynamical systems from human demonstration for robotic eye-arm-hand coordination
Learning Coupled Dynamical Systems from human demonstration ...
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IEEE-RAS International Conference on Humanoid Robots
作者: Luka Lukic José Santos-Victor Aude Billard Learning Algorithms and Systems Laboratory (LASA) EPFL Switzerland Computer Vision Laboratory (VISLAB) IST Portugal
Efficient, adaptive and reliable visuomotor control system is crucial to enable robots to display flexibility in the face of changes in the environment. This paper takes inspiration in human eye-arm-hand coordination ... 详细信息
来源: 评论
Online learning of varying stiffness through physical human-robot interaction
Online learning of varying stiffness through physical human-...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Klas Kronander Aude Billard Learning Algorithms and Systems Laboratory (LASA) School of Engineering Ecole Polytechnique Federale de Lausanne Switzerland
Programming by Demonstration offers an intuitive framework for teaching robots how to perform various tasks without having to preprogram them. It also offers an intuitive way to provide corrections and refine teaching... 详细信息
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learning Dynamical System Modulation for Constrained Reaching Tasks
Learning Dynamical System Modulation for Constrained Reachin...
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IEEE-RAS International Conference on Humanoid Robots
作者: Micha Hersch Florent Guenter Sylvain Calinon Aude G. Billard Learning Algorithms and Systems Laboratory-LASA School of Engineering École Polytechnique Fédérale de Lausanne Lausanne Switzerland
In this paper we combine kinesthetic demonstrations and dynamical systems to enable a humanoid robot to imitate constrained reaching gestures directed toward a target. Using a learning algorithm based on Gaussian mixt... 详细信息
来源: 评论
learning a real time grasping strategy
Learning a real time grasping strategy
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Bidan Huang Sahar El-Khoury Miao Li Joanna J. Bryson Aude Billard Learning Algorithms and Systems Laboratory (LASA) Swiss Federal Institute of Technology Lausanne (EPFL) Switzerland Computer Science Department University of Bath UK
Real time planning strategy is crucial for robots working in dynamic environments. In particular, robot grasping tasks require quick reactions in many applications such as human-robot interaction. In this paper, we pr...
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learning of Grasp Adaptation through Experience and Tactile Sensing
Learning of Grasp Adaptation through Experience and Tactile ...
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IEEE/RSJ International Conference on Intelligent Robots and systems
作者: Miao Li Yasemin Bekiroglu Danica Kragic Aude Billard Learning Algorithms and Systems Laboratory (LASA) at Ecole Polytechnique Federale de Lausanne (EPFL) Switzeland KTH Royal Institute of Technology Stockholm Sweden
To perform robust grasping, a multi-fingered robotic hand should be able to adapt its grasping configuration, i.e., how the object is grasped, to maintain the stability of the grasp. Such a change of grasp configurati... 详细信息
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Motion learning and Adaptive Impedance for Robot Control during Physical Interaction with Humans
Motion Learning and Adaptive Impedance for Robot Control dur...
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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: Elena Gribovskaya Aude Billard Abderrahmane Kheddar Learning Algorithms and Systems Laboratory (LASA) EPFLSwitzerland CNRS-UM2 LIRMM MontpellierFranceand the CNRS-AIST JRLUMI3218/CRTJapan
This article combines programming by demon- stration and adaptive control for teaching a robot to physically interact with a human in a collaborative task requiring sharing of a load by the two partners. learning a ta... 详细信息
来源: 评论
learning cost function and trajectory for robotic writing motion
Learning cost function and trajectory for robotic writing mo...
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IEEE-RAS International Conference on Humanoid Robots
作者: Hang Yin Ana Paiva Aude Billard Intelligent Agents and Synthetic Characters Group (GAIPS) University of Lisbon Portugal Ecole Polytechnique Fédérale de Lausanne (EPFL) Learning Algorithms and Systems Laboratory (LASA) Switzerland
We present algorithms for inferring the cost function and reference trajectory from human demonstrations of hand-writing tasks. These two key elements are then used, through optimal control, to generate an impedance-b... 详细信息
来源: 评论
learning complex sequential tasks from demonstration: A pizza dough rolling case study  16
Learning complex sequential tasks from demonstration: A pizz...
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ACM/IEEE International Conference on Human-Robot Interaction (HRI)
作者: Nadia Figueroa Ana Lucia Pais Ureche Aude Billard Learning Algorithms and Systems Laboratory (LASA) Ecole Polytechnique Fédérale de Lausanne (EPFL) Switzerland Ecole Polytechnique Federale de Lausanne Lausanne VD CH
This paper introduces a hierarchical framework that is capable of learning complex sequential tasks from human demonstrations through kinesthetic teaching, with minimal human intervention. Via an automatic task segmen... 详细信息
来源: 评论