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Motion Planning for Vision-based Stevedoring Tasks on Industrial Robots
Wang, Shijun; Guo, Hao; Cao, Xuewei; Chai, Xiaojie; Wen, Feng; Yuan, Kui
2015-08
Conference Name2015 IEEE International Conference on Mechatronics and Automation
Source PublicationProceedings of 2015 IEEE International Conference on Mechatronics and Automation
Conference DateAugust 2-5, 2015
Conference PlaceBeijing, China
AbstractThis paper proposed an autonomous robot motion planner for industrial robots with a focus on vision-based stevedoring applications. The planning algorithm can be divided into two stages. The first stage generates initial geometric paths in the Cartesian space: with the 3D model of the environment and the picking and placing pose of the robot’s wrist obtained by visual system, the planner finds a collision-free path using workspace cell decomposition. The second stage searches for a time-jerk optimal joints trajectories: the planner transforms the path nodes described in the Cartesian space into joints angels in the joints configuration space, then formulates and solves the optimization problem by means of cubic splines. The simulation experiments show the obvious improvement of our method with a contrast to several state-of-art algorithms in this field. And the grasping experiment verifies the practicability and effectiveness of the method on the basis of the embedded visual system and ABB120 type industrial robot.
KeywordMotion Planner Cell Decomposition Industrial Robot Optimization
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14351
Collection智能制造技术与系统研究中心_智能机器人
Corresponding AuthorWang, Shijun
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Wang, Shijun,Guo, Hao,Cao, Xuewei,et al. Motion Planning for Vision-based Stevedoring Tasks on Industrial Robots[C],2015.
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