Planning human-aware motions using a sampling-based costmap planner

被引:0
作者
Mainprice, Jim [1 ,2 ]
Sisbot, E. Akin [1 ,2 ]
Jaillet, Leonard [3 ]
Cortes, Juan [1 ,2 ]
Alami, Rachid [1 ,2 ]
Simeon, Thierry [1 ,2 ]
机构
[1] CNRS, LAAS, 7 Ave Colonel Roche, F-31077 Toulouse, France
[2] Univ Toulouse, INSA ISAE, INP UPS, LAAS, F-31077 Toulouse, France
[3] CSIC, Inst Robot Informat Ind, UPC, E-08028 Barcelona, Spain
来源
2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) | 2011年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper addresses the motion planning problem while considering Human-Robot Interaction (HRI) constraints. The proposed planner generates collision-free paths that are acceptable and legible to the human. The method extends our previous work on human-aware path planning to cluttered environments. A randomized cost-based exploration method provides an initial path that is relevant with respect to HRI and workspace constraints. The quality of the path is further improved with a local path-optimization method. Simulation results on mobile manipulators in the presence of humans demonstrate the overall efficacy of the approach.
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页数:6
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