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cs.RO2026
Hierarchical Policy Learning via Spectral Decomposition
Shuxin Cao, Liquan Wang, Walker Byrnes +3
In this paper, we identify a semantic decomposition in robot action sequences, separating task-level motion intent from execution-level refinements. By analyzing actions in the spe…
cs.CV2026
VISTA: Enhancing Visual Conditioning via Track-Following Preference Optimization in Vision-Language-Action Models
Yiye Chen, Yanan Jian, Xiaoyi Dong +5
Vision-Language-Action (VLA) models have demonstrated strong performance across a wide range of robotic manipulation tasks. Despite the success, extending large pretrained Vision-L…
cs.CV2026
OS-Marathon: Benchmarking Computer-Use Agents on Vast-Horizon, Repetitive Tasks
Jing Wu, Wenjie Ai, Daphne Barretto +7
Vast-horizon, repetitive workflows are common in daily routines, e.g., processing expense reports from a stack of receipts, organising a collection of PDF annotations into structur…