Obstacle representation by Bump-surfaces for optimal motion-planning
This paper introduces a new method for global, near optimal, motion-planning of a robot (either mobile or redundant manipulator) moving in an environment cluttered with a priori known prohibited areas which have arbitrary shape, size and location. The proposed method is based on the novel notion of...
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Published in | Robotics and autonomous systems Vol. 51; no. 2; pp. 129 - 150 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
31.05.2005
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ISSN | 0921-8890 1872-793X |
DOI | 10.1016/j.robot.2004.11.001 |
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Abstract | This paper introduces a new method for global, near optimal, motion-planning of a robot (either mobile or redundant manipulator) moving in an environment cluttered with a priori known prohibited areas which have arbitrary shape, size and location. The proposed method is based on the novel notion of Bump-surfaces (or B-surfaces) which represent the entire robot environment through a single mathematical entity. The motion-planning solution is searched on a higher-dimension B-surface in such a way that its inverse image into the robot environment satisfies the given objectives and constraints. The computed solution for a mobile robot consists of a smooth curve without self-loops which connects the starting and destination points with the shortest possible path. The same approach is also used for
nth degree-of-freedom manipulators where the end-effector reaches the destination position following a smooth short path avoiding the prohibited areas. For clarity reasons the proposed method is introduced in this paper for the case of a two-dimensional (2D) planar terrain with static obstacles, while a generalization to motion-planning problems on curved terrains is also discussed. Extensive experiments are presented and discussed to illustrate the efficiency and effectiveness of the proposed motion-planning method in a variety of complex environments. |
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AbstractList | This paper introduces a new method for global, near optimal, motion-planning of a robot (either mobile or redundant manipulator) moving in an environment cluttered with a priori known prohibited areas which have arbitrary shape, size and location. The proposed method is based on the novel notion of Bump-surfaces (or B-surfaces) which represent the entire robot environment through a single mathematical entity. The motion-planning solution is searched on a higher-dimension B-surface in such a way that its inverse image into the robot environment satisfies the given objectives and constraints. The computed solution for a mobile robot consists of a smooth curve without self-loops which connects the starting and destination points with the shortest possible path. The same approach is also used for
nth degree-of-freedom manipulators where the end-effector reaches the destination position following a smooth short path avoiding the prohibited areas. For clarity reasons the proposed method is introduced in this paper for the case of a two-dimensional (2D) planar terrain with static obstacles, while a generalization to motion-planning problems on curved terrains is also discussed. Extensive experiments are presented and discussed to illustrate the efficiency and effectiveness of the proposed motion-planning method in a variety of complex environments. |
Author | Azariadis, Philip N. Aspragathos, Nikos A. |
Author_xml | – sequence: 1 givenname: Philip N. surname: Azariadis fullname: Azariadis, Philip N. email: azar@aegean.gr organization: University of the Aegean, Department of Product and Systems Design Engineering, 84100 Ermoupolis, Syros, Greece – sequence: 2 givenname: Nikos A. surname: Aspragathos fullname: Aspragathos, Nikos A. email: asprag@mech.upatras.gr organization: University of Patras, Mechanical Engineering and Aeronautics Department, 26500 Patras, Greece |
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Keywords | Obstacles Motion-planning Path-planning Manipulators Conjugate gradient Mobile robots Articulated robots Genetic algorithms |
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SubjectTerms | Articulated robots Conjugate gradient Genetic algorithms Manipulators Mobile robots Motion-planning Obstacles Path-planning |
Title | Obstacle representation by Bump-surfaces for optimal motion-planning |
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