1 citations · 1 across the 4 of their papers we have counts for
4 papers
SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models
Cheng Yin, Wang Xu, Junpeng Yang +8
Long-horizon manipulation is partially observable: the information needed to choose the next action may appear only in observations from minutes earlier. Existing memory mechanisms…
Chronos: A Physics-Informed Full-History Framework for Non-Markovian Long-Horizon Manipulation
Yulin Zhou, Yimeng Wang, Nengyu Wang +9
General-purpose robot policies should be modeled as dynamical systems, yet many VLA and generative imitation policies still rely on present observations or short windows. This Mark…
DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models
Cheng Yin, Yankai Lin, Wang Xu +4
Does Chain-of-Thought (CoT) reasoning genuinely improve Vision Language Action (VLA) models, or does it merely add overhead? Existing CoT-VLA systems report limited and inconsisten…
Does Optimal Control Always Benefit from Better Prediction? An Analysis Framework for Predictive Optimal Control
Xiangrui Zeng, Cheng Yin, Zhouping Yin
The ``prediction + optimal control'' scheme has shown good performance in many applications of automotive, traffic, robot, and building control. In practice, the prediction results…