Name
Title | ||
|---|---|---|
A General Framework of Motion Planning for Redundant Robot Manipulator Based on Deep Reinforcement Learning |
Abstract | ||
|---|---|---|
Motion planning and its optimization is vital and difficult for redundant robot manipulator in an environment with obstacles. In this article, a general motion planning framework that integrates deep reinforcement learning (DRL) is proposed to explore the length-optimal path in Cartesian space and to derive the energy-optimal solution to inverse kinematics. First, based on the maximum entropy fram... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3125447 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Entropy,Robots,Task analysis,Planning,Manipulators,Path planning,Optimization | Journal | 18 |
Issue | ISSN | Citations |
8 | 1551-3203 | 1 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangjian Li | 1 | 1 | 0.36 |
| Hua-shan Liu | 2 | 7 | 3.22 |
| Menghua Dong | 3 | 1 | 0.70 |