6 citations · 10 across the 19 of their papers we have counts for
4 papers · 1 filter
Semantic Anchoring for Robotic Action Representations
Yuan Xu, Youheng Shi, Chengyang Li +2
Vision-Language-Action (VLA) models inherit rich semantic representations from pretrained Vision-Language Models, yet fine-tuning on limited robot demonstrations degrades this stru…
WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time
Yusen Feng, Bingchen Han, Jiangran Lyu +13
Steering robot foundation models (RFMs) toward new task variants or user-preferred behaviors remains challenging, often requiring additional robot demonstrations, task-specific fin…
GazeVLA: Learning Human Intention for Robotic Manipulation
Chengyang Li, Kaiyi Xiong, Yuan Xu +3
Embodied foundation models have achieved significant breakthroughs in robotic manipulation, yet they still depend heavily on large-scale robot demonstrations. Although recent works…
Learning Human-Aware Robot Policies for Adaptive Assistance
Jason Qin, Shikun Ban, Wentao Zhu +2
Developing robots that can assist humans efficiently, safely, and adaptively is crucial for real-world applications such as healthcare. While previous work often assumes a centrali…