1 citations · 1 across the 14 of their papers we have counts for
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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…
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…
TASC: Task-Aware Shared Control for Relational Telemanipulation
Ze Fu, Pinhao Song, Yutong Hu +1
We present TASC, a Task-Aware Shared Control framework for relational telemanipulation that infers task-level user intent and provides assistance from motion-only input. To support…
Equivariant Volumetric Grasping
Pinhao Song, Yutong Hu, Pengteng Li +1
We propose a new volumetric grasp model that is equivariant to rotations around the vertical axis, leading to a significant improvement in sampling efficiency. Our model employs a…
Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches
Yutong Hu, Pinhao Song, Kehan Wen +1
We present a method that reduces, by an order of magnitude, the time and memory needed to train multi-task vision-language robotic diffusion policies. This improvement arises from…
DexDribbler: Learning Dexterous Soccer Manipulation via Dynamic Supervision
Yutong Hu, Kehan Wen, Fisher Yu
Learning dexterous locomotion policy for legged robots is becoming increasingly popular due to its ability to handle diverse terrains and resemble intelligent behaviors. However, j…
Making Parameterization and Constrains of Object Landmark Globally Consistent via SPD(3) Manifold and Improved Cost Functions
Yutong Hu, Wei Wang
Object-level SLAM introduces semantic meaningful and compact object landmarks that help both indoor robot applications and outdoor autonomous driving tasks. However, the back end o…