activity
20232026
most citedFoundationGrasp: Generalizable Task-Oriented Grasping with Foundation Models

2 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2026

eRLT: Efficient VLA Reinforcement Learning via Action-Relevant Token Routing

Dehao Huang, Jianbang Liu, Jianpan Gao +7

Vision-Language-Action (VLA) models provide strong behavioral priors for robotic manipulation, yet efficiently adapting them to downstream tasks remains challenging. Recent work ad…

cs.CL2026

CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers

Hexuan Deng, Xiaopeng Ke, Yichen Li +6

Despite the rapid development of AI reviewers, evaluating such systems remains challenging: metrics favor overlap with human reviews over correctness. However, since human reviews…

cs.RO2026

VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models

Dehao Huang, Aoxiang Gu, Chengjie Zhang +5

Task-success confidence estimation for Vision-Language-Action (VLA) models provides a crucial task-level signal for monitoring manipulation in open-world environments and supportin…

cs.RO2026

Easy-IIL: Reducing Human Operational Burden in Interactive Imitation Learning via an Assistant Expert

Chengjie Zhang, Chao Tang, Wenlong Dong +3

Interactive Imitation Learning (IIL) typically relies on extensive human involvement for both offline demonstration and online interaction. Prior work primarily focuses on reducing…

cs.RO2025

HGDiffuser: Efficient Task-Oriented Grasp Generation via Human-Guided Grasp Diffusion Models

Dehao Huang, Wenlong Dong, Chao Tang +1

Task-oriented grasping (TOG) is essential for robots to perform manipulation tasks, requiring grasps that are both stable and compliant with task-specific constraints. Humans natur…

cs.RO2024

RTAGrasp: Learning Task-Oriented Grasping from Human Videos via Retrieval, Transfer, and Alignment

Wenlong Dong, Dehao Huang, Jiangshan Liu +2

Task-oriented grasping (TOG) is crucial for robots to accomplish manipulation tasks, requiring the determination of TOG positions and directions. Existing methods either rely on co…

cs.RO2024★ 2 cited

FoundationGrasp: Generalizable Task-Oriented Grasping with Foundation Models

Chao Tang, Dehao Huang, Wenlong Dong +2

Task-oriented grasping (TOG), which refers to synthesizing grasps on an object that are configurationally compatible with the downstream manipulation task, is the first milestone t…

cs.RO2023

Efficient Object Rearrangement via Multi-view Fusion

Dehao Huang, Chao Tang, Hong Zhang

The prospect of assistive robots aiding in object organization has always been compelling. In an image-goal setting, the robot rearranges the current scene to match the single imag…