1 citations · 1 across the 14 of their papers we have counts for
15 papers
Complex Problem Solving in Large Language Models: A Statistical Control Survey and Diagnostic Framework
Jiazhang Cai, Tao Wang, Ruidong Zhang +35
Complex problem solving (CPS) with large language models (LLMs) is often framed as a matter of stronger reasoning or longer generation. Yet early-step error amplification, prompt b…
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…
MAPS: Multi-Anchor Projection Similarity for Joint Vision-Language Geo-Localization
Yutong Hu, Siyuan Tan, Shaocheng Yan +3
Humans localize places by integrating perceptual cues from vision with semantic reasoning from language, forming a scene understanding that is both intuitive and structured. Althou…
FF-JEPA: Long-Horizon Planning in World Models with Latent Planners
Sergi Masip, Jonathan Swinnen, Yutong Hu +2
Joint Embedding Predictive Architectures (JEPAs) have shown promising world modeling capabilities, enabling planning in latent space by optimizing action trajectories using methods…
ELVIS: Ensemble-Calibrated Latent Imagination for Long-Horizon Visual MPC
Yurui Du, Pinhao Song, Yutong Hu +1
A central challenge of visual control with model-based reinforcement learning (RL) is reliable long-horizon planning: long rollouts with learned latent dynamics exhibit branching f…
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…
Global Cross-Modal Geo-Localization: A Million-Scale Dataset and a Physical Consistency Learning Framework
Yutong Hu, Jinhui Chen, Chaoqiang Xu +6
Cross-modal Geo-localization (CMGL) matches ground-level text descriptions with geo-tagged aerial imagery, which is crucial for pedestrian navigation and emergency response. Howeve…
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…
MPC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model
Kehan Wen, Yutong Hu, Yao Mu +1
Recent work in Offline Reinforcement Learning (RL) has shown that a unified Transformer trained under a masked auto-encoding objective can effectively capture the relationships bet…
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…