action representation 1environment-dependent 1policy learning 1robotic manipulation 1visual grounding 1
From the 1 of 4 linked papers with an AI index.
Showing cs.ROShow all
3 papers · 1 filter
cs.RO2026
Trajectory-Level Continuous Action Representation for Robotic Manipulation
Tong Yang, Jingkai Jia, Yuecheng Xu +3
We propose CAT, a trajectory-level continuous action representation framework for robotic manipulation. Existing visuomotor systems often entangle action representation with contro…
cs.RO2026
EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation
Yuecheng Xu, Tong Yang, Jingkai Jia +3
The paper introduces EDAR, a method that learns action representations for robotic manipulation by linking control commands with the visual effects they cause in a given environmen…
cs.RO2025
Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance
Yang Zhang, Chenwei Wang, Ouyang Lu +7
Vision-Language-Action (VLA) models pre-trained on large, diverse datasets show remarkable potential for general-purpose robotic manipulation. However, a primary bottleneck remains…