18 citations · 25 across the 21 of their papers we have counts for
12 papers · 1 filter
2AM: Grounding Agent-Side Memory as Guidance for Steerable Action Models in Long-Horizon Manipulation
Yutong Hu, Fengjiao Chen, Xuezhi Cao +1
Long-horizon robot manipulation requires memory, but not necessarily inside the action policy. To address such tasks, current agentic systems often combine VLAs with planners and g…
FOCI Policy: Focus on Object-Centric Interactions for Relational Manipulation Policies
Ze Fu, Pinhao Song, Yutong Hu +1
Object-centric manipulation policies improve generalization by modeling object motion instead of directly predicting robot actions. However, existing methods are often limited by r…
Robot Trajectron V3: A Probabilistic Shared Control Framework for SE(3) Manipulation
Pinhao Song, Zhongxi Li, Ze Fu +2
We aim to address the challenge of teleoperating robotic arms for high-degree-of-freedom (high-DoF) manipulation tasks, which is cognitively demanding and error-prone, particularly…
Assistron: Bayesian Shared Autonomy with Off-the-shelf Vision-Language-Action Models
Pinhao Song, Ze Fu, Yutong Hu +1
We propose Assistron, a shared autonomy model that leverages Vision-Language-Action (VLA) models to assist the user in daily activities. Our approach is grounded in two core princi…
AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models
Yutong Hu, Jan-Nico Zaech, Nikolay Nikolov +6
We propose a standalone autoregressive (AR) Action Expert that generates actions as a continuous causal sequence while conditioning on refreshable vision-language prefixes. In cont…
Robot Trajectron V2: A Probabilistic Shared Control Framework for Navigation
Pinhao Song, Yurui Du, Ophelie Saussus +4
We propose a probabilistic shared-control solution for navigation, called Robot Trajectron V2 (RT-V2), that enables accurate intent prediction and safe, effective assistance in hum…