Research Conducted at National University of Defense Technology Has Updated Our Knowledge about Robotics (Deep Reinforcement Learning With Multicritic Td3 for D ecentralized Multirobot Path Planning)

Robotics & Machine Learning Daily News2024，Issue(Oct.7) ：161-161.

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Research Conducted at National University of Defense Technology Has Updated Our Knowledge about Robotics (Deep Reinforcement Learning With Multicritic Td3 for D ecentralized Multirobot Path Planning)

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Abstract

Investigators publish new report on Ro botics. According to news originating from Changsha, People's Republic of China, by NewsRx correspondents, research stated, "Centralized multirobot path plannin g is a prevalent approach involving a global planner computing feasible paths fo r each robot using shared information. Nonetheless, this approach encounters lim itations due to communication constraints and computational complexity." Funders for this research include Science and Technology Innovation 2030-Key Pro ject, National Natural Science Foundation of China (NSFC).

Key words

Changsha/People's Republic of China/As ia/Emerging Technologies/Machine Learning/Nano-robot/Reinforcement Learning/Robot/Robotics/National University of Defense Technology

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出版年

2024

Robotics & Machine Learning Daily News

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