Robust motion planning for multi-robot systems against position deception attacks

Deep reinforcement learning (DRL) is widely applied in motion planning for multi-robot systems as DRL leverages the offline training process to improve the real-time computation efficiency. In DRL-based methods, the DRL models compute an action for a robot based on the states of its surrounding obst...

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Bibliographic Details
Main Authors: Tang, Wenbing, Zhou, Yuan, Liu, Yang, Ding, Zuohua, Liu, Jing
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/176231
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Institution: Nanyang Technological University
Language: English

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