21 citations · 21 across the 3 of their papers we have counts for
4 papers
STAR: Steering Action Representations with Proprioception for VLA Inference
Guangyu Zhao, Yongchang Zhang, Haoxuan Ru +6
Vision-language-action models (VLAs) map language instructions and visual observations to robot actions, showing strong capabilities across robotic manipulation tasks. However, in…
MachEmbodied-U0: Unified Understanding and Generation Model for Embodied Intelligence
Haoran Wen, Wenfu Wang, Kunsong Shi +15
General-purpose robot control requires models to understand task intent, identify where to interact, capture how the scene evolves, and generate precise actions. Vision-language-ac…
ME-Dex 1.0: Bringing Heterogeneous Tactile Sensing into World Action Modeling
Xuancheng Zhang, Xuetao Liu, Qianying Tang +8
World Action Models bring the predictive capabilities of video models into robot action generation, providing a rich foundation for modeling future visual states. Tactile sensing c…
A Test for Evaluating Performance in Human-Computer Systems
Andres Campero, Michelle Vaccaro, Jaeyoon Song +3
The Turing test for comparing computer performance to that of humans is well known, but, surprisingly, there is no widely used test for comparing how much better human-computer sys…