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Author

Yue-Jiang Liu

2 papers indexed here

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Preprint Nov 2026

VLALagBench: Understanding When and Why VLA Inference Latency Matters

Vision-language-action (VLA) models offer a promising path toward general-purpose robot manipulation. While inference latency can affect task success in a constantly evolving physical world, the relationship between latency and task success rate remains poorly understood. In this paper, we introduce VLALagBench, a comp...

Qi-Sheng Wen, Bo-Rui Xu, Hussein Amro et al. · 0 citations
Review Aug 2026

Learning Physical Interaction: A Survey of Tactile- and Force-aware Robot Learning

Physically grounded robot intelligence requires robots to perceive, reason about, and regulate their interactions with the physical world. This capability is particularly critical in contact-sensitive manipulation, where successful task execution depends not only on visual perception and motion generation, but also on...

Shilin Shan, Chu-Hao Zhou, Rui-Ze Wang et al. · 0 citations

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