Title:
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First-order synergies for motion planning of anthropomorphic dual-arm robots
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Author:
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García Hidalgo, Néstor; Suárez Feijóo, Raúl; Rosell Gratacòs, Jan
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Other authors:
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Universitat Politècnica de Catalunya. Institut d'Organització i Control de Sistemes Industrials; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SIR - Service and Industrial Robotics |
Abstract:
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This paper addresses the problem of designing a planning algorithm for anthropomorphic dual-arm robotic systems to find paths that mimics the movements of real human beings by using first-order synergies (correlations between joint velocities). The key idea of the proposal is to convert captured human movements into a vector field of velocities, defined in the configuration space of the robot, and use it to guide the search of a solution path. The motion planning is solved using the proposed algorithm, called FOS-BKPIECE, that is a bidirectional version of the KPIECE planner working with an improved version of the extension procedure of the VF-RRT planner. The obtained robot movements follow the directions of the defined vector field and hence allow the robot to solve the task in a human-like fashion. The paper presents a description of the proposed approach as well as results from conceptual and application examples, the latter using a real anthropomorphic dual-arm robotic system. A thorough comparison with other previous planning algorithms shows that the proposed approach obtains better results. |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Robòtica -Robotics -Algorithm -Dual-Arm Robots -Human-Like Motions -Path Planning -Robotics -Synergies -Robòtica -Mans mecàniques -Algorismes |
Rights:
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Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Document type:
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Article - Published version Article |
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