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Authors: Jing Yang ; Patrick Dymond and Michael Jenkin

Affiliation: York University, Canada

ISBN: 978-989-674-000-9

Keyword(s): Reachable workspace, Probabilistic motion planning, Mobile robotics.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Mobile Robots and Autonomous Systems ; Modeling, Simulation and Architectures ; Robot Design, Development and Control ; Robotics and Automation

Abstract: Estimating a robot’s reachable workspace is a fundamental problem in robotics. For simple kinematic chains within an empty environment this computation can be relatively straightforward. For mobile kinematic structures and cluttered environments, the problem becomes more challenging. An efficient probabilistic method for workspace estimation is developed by applying a hierarchical strategy and developing extensions to a probabilistic motion planner. Rather than treating each of the degrees of freedom (DOFs) ‘equally’, a hierarchical representation is used to maximize the volume of the robot’s workspace that is identified as reachable for each probe of the environment. Experiments with a simulated mobile manipulator demonstrate that the hierarchical approach is an effective alternative to the use of an estimation process based on the use of a traditional probabilistic planner.

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Paper citation in several formats:
Yang J., Dymond P. and Jenkin M. (2009). HIERARCHICAL PROBABILISTIC ESTIMATION OF ROBOT REACHABLE WORKSPACE.In Proceedings of the 6th International Conference on Informatics in Control, Automation and RoboticsISBN 978-989-674-000-9, pages 60-66. DOI: 10.5220/0002205600600066

@conference{icinco09,
author={Jing Yang and Patrick Dymond and Michael Jenkin},
title={HIERARCHICAL PROBABILISTIC ESTIMATION OF ROBOT REACHABLE WORKSPACE},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics},
year={2009},
pages={60-66},
doi={10.5220/0002205600600066},
isbn={978-989-674-000-9},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics
TI - HIERARCHICAL PROBABILISTIC ESTIMATION OF ROBOT REACHABLE WORKSPACE
SN - 978-989-674-000-9
AU - Yang J.
AU - Dymond P.
AU - Jenkin M.
PY - 2009
SP - 60
EP - 66
DO - 10.5220/0002205600600066

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