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检索条件"任意字段=13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024"
716 条 记 录,以下是711-720 订阅
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ieee International conference on Automation Science and Engineering
IEEE International Conference on Automation Science and Engi...
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13th ieee conference on Automation Science and Engineering, CASE 2017
the proceedings contain 266 papers. the topics discussed include: multi-fidelity modeling for analysis of serial production lines;on the separation of a polyhedron from its single-part mold;a GPU-based parallel slicer...
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learning-based Modeling and control of Underactuated Balance Robotic systems
Learning-based Modeling and Control of Underactuated Balance...
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ieee International conference on Automation Science and Engineering
作者: Kuo Chen Jingang Yi Tao Liu Department of Mechanical and Aerospace Engineering Rutgers University Piscataway NJ USA State Key Lab of Fluid Power & Mechatronic Systems and the School of Mechanical Engineering Zhejiang University Hangzhou Zhejiang China
Underactuated balance robots represent a broad class of mechanical systems, ranging from Furuta pendulum, autonomous motorcycles, and robotic bipedal walkers, etc. the control tasks of these systems include trajectory... 详细信息
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A Probabilistic Approach to Robot Trajectory Generation  13
A Probabilistic Approach to Robot Trajectory Generation
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13th ieee-RAS International conference on Humanoid Robots (Humanoids)
作者: Paraschos, Alexandros Neumann, Gerhard Peters, Jan Tech Univ Darmstadt Intelligent Autonomous Syst lab Darmstadt Germany Max Planck Inst Intelligent Syst Robot Learning Grp Tubingen Germany
Motor Primitives (MPs) are a promising approach for the data-driven acquisition as well as for the modular and re-usable generation of movements. However, a modular control architecture with MPs is only effective if t... 详细信息
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Phase Space Planning and Robust control for data-driven Locomotion Behaviors  13
Phase Space Planning and Robust Control for Data-Driven Loco...
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13th ieee-RAS International conference on Humanoid Robots (Humanoids)
作者: Zhao, Y. Kim, D. H. Fernandez, B. Sentis, L.
We utilize here regression tools to plan dynamic locomotion in the Phase Space of the robot's center of mass behavior and state feedback controllers to accomplish the desired plans. In real robotic systems, simpli... 详细信息
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A probabilistic approach to robot trajectory generation
A probabilistic approach to robot trajectory generation
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ieee-RAS International conference on Humanoid Robots
作者: Alexandros Paraschos Gerhard Neumann Jan Peters Intelligent Autonomous Systems lab Technische Universitat Darmstadt Germany Robot Learning Group Max-Planck Institute for Intelligent Systems Tuebingen Germany
Motor Primitives (MPs) are a promising approach for the data-driven acquisition as well as for the modular and re-usable generation of movements. However, a modular control architecture with MPs is only effective if t... 详细信息
来源: 评论
Phase space planning and robust control for data-driven locomotion behaviors
Phase space planning and robust control for data-driven loco...
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ieee-RAS International conference on Humanoid Robots
作者: Y. Zhao D.H. Kim B. Fernandez L. Sentis National Taiwan University of Science & Technology Taiwan
We utilize here regression tools to plan dynamic locomotion in the Phase Space of the robot's center of mass behavior and state feedback controllers to accomplish the desired plans. In real robotic systems, simpli... 详细信息
来源: 评论