3 papers
cs.RO2026
PrefMoE: Robust Preference Modeling with Mixture-of-Experts Reward Learning
Ziqin Yuan, Ruiqi Wang, Dezhong Zhao +2
Preference-based reinforcement learning offers a scalable alternative to manual reward engineering by learning reward structures from comparative feedback. However, large-scale pre…
cs.CV2026
Hyper-STTN: Hypergraph Augmented Spatial-Temporal Transformer Network for Trajectory Prediction
Weizheng Wang, Baijian Yang, Sungeun Hong +2
Predicting crowd intentions and trajectories is critical for a range of real-world applications, involving social robotics and autonomous driving. Accurately modeling such behavior…
cs.HC2024
Cognitive Load-based Affective Workload Allocation for Multi-human Multi-robot Teams
Wonse Jo, Ruiqi Wang, Baijian Yang +3
The interaction and collaboration between humans and multiple robots represent a novel field of research known as human multi-robot systems. Adequately designed systems within this…