37 citations · 77 across the 18 of their papers we have counts for
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cs.RO2025
DRL-TH: Jointly Utilizing Temporal Graph Attention and Hierarchical Fusion for UGV Navigation in Crowded Environments
Ruitong Li, Lin Zhang, Yuenan Zhao +3
Deep reinforcement learning (DRL) methods have demonstrated potential for autonomous navigation and obstacle avoidance of unmanned ground vehicles (UGVs) in crowded environments. M…
cs.CV2025
Informative Text-Image Alignment for Visual Affordance Learning with Foundation Models
Qian Zhang, Lin Zhang, Xing Fang +4
Visual affordance learning is crucial for robots to understand and interact effectively with the physical world. Recent advances in this field attempt to leverage pre-trained knowl…
cs.RO2025
StyleLoco: Generative Adversarial Distillation for Natural Humanoid Robot Locomotion
Le Ma, Ziyu Meng, Tengyu Liu +4
Humanoid robots are anticipated to acquire a wide range of locomotion capabilities while ensuring natural movement across varying speeds and terrains. Existing methods encounter a…