Conference Paper: CVT-based 2D motion planning with maximal clearance
| Title | CVT-based 2D motion planning with maximal clearance |
|---|---|
| Authors | Zheng, L Choi, YK Liu, X Wang, WP |
| Issue Date | 2011 |
| Publisher | IEEE, Computer Society. |
| Citation | The 2011 IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, 9-13 May 2011. In Proceedings of the IEEE-ICRA, 2011, p. 2281-2287 [How to Cite?] |
| Abstract | Maximal clearance is an important property that is highly desirable in multi-agent motion planning. However, it is also inherently difficult to attain. We propose a novel approach to achieve maximal clearance by exploiting the ability of evenly distributing a set of points by a centroidal Voronoi tessellation (CVT). We adapt the CVT framework to multi-agent motion planning by adding an extra time dimension and optimize the trajectories of the agents in the augmented domain. As an optimization framework, our method can work naturally on complex regions. We demonstrate the effectiveness of our algorithm in achieving maximal clearance in motion planning with some examples. |
| ISSN | 1050-4729 2011 SCImago Journal Rankings: 0.035 |
| dc.contributor.author | Zheng, L |
|---|---|
| dc.contributor.author | Choi, YK |
| dc.contributor.author | Liu, X |
| dc.contributor.author | Wang, WP |
| dc.date.accessioned | 2011-09-23T06:04:39Z |
| dc.date.available | 2011-09-23T06:04:39Z |
| dc.date.issued | 2011 |
| dc.description.abstract | Maximal clearance is an important property that is highly desirable in multi-agent motion planning. However, it is also inherently difficult to attain. We propose a novel approach to achieve maximal clearance by exploiting the ability of evenly distributing a set of points by a centroidal Voronoi tessellation (CVT). We adapt the CVT framework to multi-agent motion planning by adding an extra time dimension and optimize the trajectories of the agents in the augmented domain. As an optimization framework, our method can work naturally on complex regions. We demonstrate the effectiveness of our algorithm in achieving maximal clearance in motion planning with some examples. |
| dc.description.nature | published_or_final_version |
| dc.description.other | The 2011 IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, 9-13 May 2011. In Proceedings of the IEEE-ICRA, 2011, p. 2281-2287 |
| dc.identifier.citation | The 2011 IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, 9-13 May 2011. In Proceedings of the IEEE-ICRA, 2011, p. 2281-2287 [How to Cite?] |
| dc.identifier.epage | 2287 |
| dc.identifier.hkuros | 196317 |
| dc.identifier.issn | 1050-4729 2011 SCImago Journal Rankings: 0.035 |
| dc.identifier.openurl | ![]() |
| dc.identifier.spage | 2281 |
| dc.identifier.uri | http://hdl.handle.net/10722/140007 |
| dc.language | eng |
| dc.publisher | IEEE, Computer Society. |
| dc.relation.ispartof | Proceedings of the IEEE International Conference on Robotics and Automation |
| dc.rights | IEEE International Conference on Robotics and Automation Proceedings. Copyright © IEEE, Computer Society. |
| dc.rights | Creative Commons: Attribution 3.0 Hong Kong License |
| dc.rights | ©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| dc.title | CVT-based 2D motion planning with maximal clearance |
| dc.type | Conference_Paper |


