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

• 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
• Subjects: Computer and Information Science; Deep reinforcement learning; Denoising autoencoder
• Online Access: https://hdl.handle.net/10356/176231
• Institution: Nanyang Technological University

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...