5 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.AI2026★ 5 cited
A hierarchical spatial-aware algorithm with efficient reinforcement learning for human-robot task planning and allocation in production
Jintao Xue, Xiao Li, Nianmin Zhang
In advanced manufacturing systems, humans and robots collaborate to conduct the production process. Effective task planning and allocation (TPA) is crucial for achieving high produ…
cs.AI2026★ 4 cited
Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production
Jintao Xue, Xiao Li, Nianmin Zhang
Human-robot collaborative manufacturing, a core aspect of Industry 5.0, emphasizes ergonomics to enhance worker well-being. This paper addresses the dynamic human-robot task planni…
cs.MA2024
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu, Hangyu Mao, Nianmin Zhang +8
In partially observable multi-agent systems, agents typically only have access to local observations. This severely hinders their ability to make precise decisions, particularly du…