Planning an Efficient and Robust Base Sequence for a Mobile Manipulator Performing Multiple Pick-and-place Tasks
Jingren Xu, Kensuke Harada, Weiwei Wan, Toshio Ueshiba, Yukiyasu Domae
Abstract
In this paper, we address efficiently and robustly collecting objects stored in different trays using a mobile manipulator. A resolution complete method, based on precomputed reachability database, is proposed to explore collision-free inverse kinematics (IK) solutions and then a resolution complete set of feasible base positions can be determined. This method approximates a set of representative IK solutions that are especially helpful when solving IK and checking collision are treated separately. For real world applications, we take into account the base positioning uncertainty and plan a sequence of base positions that reduce the number of necessary base movements for collecting the target objects, the base sequence is robust in that the mobile manipulator is able to complete the part-supply task even there is certain deviation from the planned base positions. Our experiments demonstrate both the efficiency compared to regular base sequence and the feasibility in real world applications.
BibTeX
@inproceedings{icra2020_planninganeffici,
title = {Planning an Efficient and Robust Base Sequence for a Mobile Manipulator Performing Multiple Pick-and-place Tasks},
author = {Jingren Xu and Kensuke Harada and Weiwei Wan and Toshio Ueshiba and Yukiyasu Domae},
booktitle = {ICRA 2020},
year = {2020}
}