activity
20242026
most citedTinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation

3 citations · 6 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

math.RT2026

Unipotent quotients in compactified Coxeter varieties

Joseph Muller

In this paper, we extend Lusztig's description of quotients of Coxeter varieties by unipotent radicals of parabolic subgroups, to quotients of certain open neighbourhoods in the sm…

cs.RO2026

Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy Corrections

Jiafeng Xu, Qi Li, Yan Shen +7

Learning generalist policies for robust bimanual manipulation is bottlenecked by the scarcity of high quality large scale human demonstration data. In this work, we release 1,500 h…

cs.RO2026

Learning Transferable Dynamics Priors from Action to World Modeling

Ze Huang, Jiahui Zhang, Hairuo Liu +3

We study action-conditioned world modeling as a scalable way to learn transferable dynamics priors for robot learning. By pretraining a model to predict how actions drive visual sc…

cs.CV2026

Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search

Haoyu Zhang, Zhihao Yu, Rui Wang +3

Modern computer vision requires balancing predictive accuracy with real-time efficiency, yet the high inference cost of large vision models (LVMs) limits deployment on resource-con…

cs.RO2026

VAMPO: Policy Optimization for Improving Visual Dynamics in Video Action Models

Zirui Ge, Pengxiang Ding, Baohua Yin +16

Video action models are an appealing foundation for Vision--Language--Action systems because they can learn visual dynamics from large-scale video data and transfer this knowledge…