199 citations · 1.1k across the 51 of their papers we have counts for
6 papers · 1 filter
Equivariant Visual-Tactile Diffusion Policy for Contact-Rich Manipulation
Lik Hang Kenny Wong, Yiyao Ma, Xiu-Shen Wei +5
Imitation learning for contact-rich manipulation requires high-quality expert data that is expensive to obtain. This makes learning a sample-efficient policy a key issue. To addres…
Where Should Action Generation Begin? A Learnable Source Prior for Generative Robot Policies
Meipo Dai, Qiyuan Zhuang, He-Yang Xu +4
Generative robot policies typically begin action generation from an observation-independent standard Gaussian distribution, leaving the choice of source distribution underexplored.…
Beyond Binary Success: A Diagnostic Meta-Evaluation Framework for Fine-Grained Manipulation
He-Yang Xu, Pengyuan Zhang, Zongyuan Ge +5
Fine-grained manipulation marks a regime where global scene context no longer suffices, and success hinges on the tight coupling of local attribute grounding, high-fidelity spatial…
Walk With Me: Long-Horizon Social Navigation for Human-Centric Outdoor Assistance
Lingfeng Zhang, Xiaoshuai Hao, Xizhou Bu +11
Assisting humans in open-world outdoor environments requires robots to translate high-level natural-language intentions into safe, long-horizon, and socially compliant navigation b…
Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA
Zihua Wang, Zhitao Lin, Ruibo Li +4
Vision-Language-Action (VLA) models, as large foundation models for embodied control, have shown strong performance in manipulation tasks. However, their performance comes at high…
RAAP: Retrieval-Augmented Affordance Prediction with Cross-Image Action Alignment
Qiyuan Zhuang, He-Yang Xu, Yijun Wang +3
Understanding object affordances is essential for enabling robots to perform purposeful and fine-grained interactions in diverse and unstructured environments. However, existing ap…