Hinrichs, Pascal and Vu, Minh Tam and Pfingsthorn, Max and Kowalski, Christian and Hein, Andreas
2022 Sixth IEEE International Conference on Robotic Computing
Whole-arm manipulation (WAM) is an ideal way to manipulate large and heavy loads. Whole-arm configuration generation algorithms are always constructed for a specific manipulator type. However, through increased transferability between types, advances in whole-arm manipulation could be applied more easily and developed to other manipulators. We therefore present two algorithms for transferring a whole- arm configuration from a manipulator without link offsets to one with link offsets in the elbow and wrist in this work. Both are analytical, where one can be solved algebraically, the other one only numerically. We show the advantages and disadvantages of these two variants and compare them with a memetic evolution algorithm as a baseline. It is shown that our algorithms require only about one thousandth of the computational time and achieve a significantly smaller variance in the joint position solutions.
12 / 2022
IEEE Computer Society Conference Publishing Services (CPS)