This paper deals with the coordinated welding problem of multi-robot systems by applying a deep reinforcement learning algorithm which is called multi-agent ...
To our knowledge the intelligent Algorithm based on MADDPG to solve trajectory optimization, coordinated welding and collision avoidance is still unsolved yet.
A MADDPG algorithm with a new set of rewards is designed for the coordinated welding of multiple arc-welding robots. The proposed MADDPG algorithm is ...
Feb 22, 2021 · ... MADDPG algorithm with a new set of rewards is designed. for the coordinated welding of multiple arc-welding robots. The proposed MADDPG ...
The applications of the deep reinforcement learning method to achieve the arcs welding by multi-robot systems are presented, where the states and the ...
Weibin Chen, Lei Hua, Leixin Xu, Benshun Zhang, Mengmeng Li, Tao Ma, Yang-Yang Chen: MADDPG Algorithm for Coordinated Welding of Multiple Robots.
Sep 20, 2024 · This review paper explores the significance of control systems in various welding methods, including arc, laser, spot, and friction stir welding.
Dec 1, 2022 · Qie et al. (2019) proposed a multi-agent DDPG (MADDPG) approach for the multi-UAV task assignment and path planning problem. While the two tasks ...
Nevertheless, the MADDPG algorithm is a model-free learning method, in contrast, formation control is a complex system which needs long learning times. ...
May 2, 2022 · In this article, we review one of these algorithms named Multi-Agent Deep Deterministic Policy Gradient (MADDPG), developed by Lowe et al.
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