A Collaborative Control Method of Dual-Arm Robots Based on Deep Reinforcement Learning
Collaborative control of a dual-arm robot refers to collision avoidance and working together to accomplish a task. To prevent the collision of two arms, the control strategy of a robot arm needs to avoid competition and to cooperate with the other one during motion planning. In this paper, a dual-ar...
Main Authors: | Luyu Liu, Qianyuan Liu, Yong Song, Bao Pang, Xianfeng Yuan, Qingyang Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/4/1816 |
Similar Items
-
Hybrid Sensor Fusion Mixed with Reinforcement Learning in Autonomous Dual-Arm Lifting Tasks Performed by Humanoid Robots
by: Juan Hernandez-Vicen, et al.
Published: (2024-08-01) -
MOTION CONTROL ANALYSIS OF TWO COLLABORATIVE ARM ROBOTS IN FRUIT PACKAGING SYSTEM
by: Tresna Dewi, et al.
Published: (2021-02-01) -
Winged Aerial Manipulation Robot with Dual Arm and Tail
by: Alejandro Suarez, et al.
Published: (2020-07-01) -
Path Planning Algorithm for Dual-Arm Robot Based on Depth Deterministic Gradient Strategy Algorithm
by: Xiaomei Zhang, et al.
Published: (2023-10-01) -
Research on Motion Trajectory Planning and Impedance Control for Dual-Arm Collaborative Robot Grinding Tasks
by: Lu Qian, et al.
Published: (2025-01-01)