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20232026
most citedRobo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation

Jingkai Wang, Zihan Tang, Gu Zhang +7

Vision-language-action policies rely on large multimodal backbones to jointly perform perception, language conditioning, and action generation at every control step. Much of this c…

cs.RO2026

UniDex: A Robot Foundation Suite for Universal Dexterous Hand Control from Egocentric Human Videos

Gu Zhang, Qicheng Xu, Haozhe Zhang +16

Dexterous manipulation remains challenging due to the cost of collecting real-robot teleoperation data, the heterogeneity of hand embodiments, and the high dimensionality of contro…

cs.CV2026

X-Distill: Cross-Architecture Vision Distillation for Visuomotor Learning

Maanping Shao, Feihong Zhang, Gu Zhang +3

Visuomotor policies often leverage large pre-trained Vision Transformers (ViTs) for their powerful generalization capabilities. However, their significant data requirements present…

cs.RO2024

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning

Zhecheng Yuan, Tianming Wei, Shuiqi Cheng +3

Can we endow visuomotor robots with generalization capabilities to operate in diverse open-world scenarios? In this paper, we propose \textbf{Maniwhere}, a generalizable framework…

cs.RO2024★ 1 cited

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Yanjie Ze, Gu Zhang, Kangning Zhang +3

Imitation learning provides an efficient way to teach robots dexterous skills; however, learning complex skills robustly and generalizablely usually consumes large amounts of human…

cs.RO2024★ 2 cited

Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation

Yuanchen Ju, Kaizhe Hu, Guowei Zhang +3

Enabling robotic manipulation that generalizes to out-of-distribution scenes is a crucial step toward open-world embodied intelligence. For human beings, this ability is rooted in…

cs.RO2023

ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch

Zhengrong Xue, Han Zhang, Jingwen Cheng +5

We present ArrayBot, a distributed manipulation system consisting of a array of vertically sliding pillars integrated with tactile sensors, which can simultaneously…