Optimizing Robotic Task Sequencing and Trajectory Planning on the Basis of Deep Reinforcement Learning

Optimizing Robotic Task Sequencing and Trajectory Planning on the Basis of Deep Reinforcement Learning

The robot task sequencing problem and trajectory planning problem are two important issues in the robotic optimization domain and are solved sequentially in two separate levels in traditional studies. This paradigm disregards the potential synergistic impact between the two problems, resulting in a...

Full description

Bibliographic Details
Main Authors: Xiaoting Dong, Guangxi Wan, Peng Zeng, Chunhe Song, Shijie Cui
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Biomimetics
Subjects:
robot task sequencing
trajectory planning
co-optimization
deep reinforcement learning
robotic manufacturing
Online Access:https://www.mdpi.com/2313-7673/9/1/10

Internet

https://www.mdpi.com/2313-7673/9/1/10

Similar Items