4 papers
SAGE:State-Aware Guided End-to-End Policy for Multi-Stage Sequential Tasks via Hidden Markov Decision Process
BinXu Wu, TengFei Zhang, Chen Yang +5
Multi-stage sequential (MSS) robotic manipulation tasks are prevalent and crucial in robotics. They often involve state ambiguity, where visually similar observations correspond to…
A Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches
Bin Wu, Sifu Luo, C. Steve Suh
Understanding propagation mechanisms in complex networks is essential for fields like epidemiology and multi-robot networks. This paper reviews various propagation models, from tra…
Deep Reinforcement Learning for Decentralized Multi-Robot Control: A DQN Approach to Robustness and Information Integration
Bin Wu, C Steve Suh
The superiority of Multi-Robot Systems (MRS) in various complex environments is unquestionable. However, in complex situations such as search and rescue, environmental monitoring,…
State-of-the-art in Robot Learning for Multi-Robot Collaboration: A Comprehensive Survey
Bin Wu, C Steve Suh
With the continuous breakthroughs in core technology, the dawn of large-scale integration of robotic systems into daily human life is on the horizon. Multi-robot systems (MRS) buil…