2 citations · 2 across the 4 of their papers we have counts for
5 papers
Imitation learning-based spacecraft rendezvous and docking method with Expert Demonstration
Shibo Shao, Dong Zhou, Guanghui Sun +2
Existing spacecraft rendezvous and docking control methods largely rely on predefined dynamic models and often exhibit limited robustness in realistic on-orbit environments. To add…
Multimodal Spiking Neural Network for Space Robotic Manipulation
Liwen Zhang, Dong Zhou, Shibo Shao +2
This paper presents a multimodal control framework based on spiking neural networks (SNNs) for robotic arms aboard space stations. It is designed to cope with the constraints of li…
MAD: Meta Adversarial Defense Benchmark
X. Peng, D. Zhou, G. Sun +2
Adversarial training (AT) is a prominent technique employed by deep learning models to defend against adversarial attacks, and to some extent, enhance model robustness. However, th…
On Deep Recurrent Reinforcement Learning for Active Visual Tracking of Space Noncooperative Objects
Dong Zhou, Guanghui Sun, Zhao Zhang +1
Active tracking of space noncooperative object that merely relies on vision camera is greatly significant for autonomous rendezvous and debris removal. Considering its Partial Obse…
Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning
Dong Zhou, Guanghui Sun, Wenxiao Lei
Active visual tracking of space non-cooperative object is significant for future intelligent spacecraft to realise space debris removal, asteroid exploration, autonomous rendezvous…