الباحثون

Zhiyang Li

المنشورات 3

نسخة أولية وصول مفتوح

Faster and Better? Benchmark Bugs and Design Limitations Distort the Evaluation of Vision-Language-Action Acceleration

Qiwei Chen, Kaijun Zhou, Nuohui Shi وآخرون · 2026

Simulated manipulation benchmarks are the standard tool for evaluating vision-language-action (VLA) policies and the acceleration methods that reduce their inference latency for on-robot deployment. On these benchmarks, we observe that some training-free acceleration methods, which approximate the baseline policy's com …

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rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference

Kaijun Zhou, Zhiyang Li, Le Chen وآخرون · 2026

Factory work is a promising early scenario for embodied AI: assigning repetitive manual jobs to robots has clear economic payoff, and a structured station keeps the jobs tractable for current policies. Vision-Language-Action (VLA) models now dominate as the policy paradigm for these robots. The inference latency of VLA …

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