activity
20192026
most citedMobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning

15 citations · 25 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CV2026

Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning

Weiliang Huang, Huanrong Liu, Bob Zhang +5

Reliable surgical planning requires models to anticipate not only how instruments will move, but also how the operative visual state will evolve together with such motion. Existing…

cs.RO2026

Implicit Virtual Leader: Decentralized Vision-Only Relative Pose Estimation for Multi-Robot Formations

Shiyuan Yang, Zelin Wang, Zhijia Tao +8

Classical leader-follower formation control suffers from single points of failure and error propagation, and relies on absolute localization sensors that are ill-suited for GPS-den…

cs.RO2026

SurgWMBench: A Vision-Based Benchmark for World-Modeling Surgical Instrument Motion Planning

Huanrong Liu, Weiliang Huang, Bob Zhang +3

Reliable surgical planning requires models that move beyond recognizing the current surgical step or imitating expert demonstrations, and instead anticipate how instrument motion r…

cs.RO2026

FabriVLA: A Lightweight Vision-Language-Action Model with Conformal Action Chunk Uncertainty

Shiyuan Yang, Borong Zhang, Jizheng Zhang +5

Vision-Language-Action (VLA) models have become a leading paradigm for general purpose robotic manipulation, but their computational cost and limited uncertainty awareness hinder p…

cs.CV2026

Fine-Grained Action Segmentation for Renorrhaphy in Robot-Assisted Partial Nephrectomy

Jiaheng Dai, Huanrong Liu, Tailai Zhou +7

Fine-grained action segmentation during renorrhaphy in robot-assisted partial nephrectomy requires frame-level recognition of visually similar suturing gestures with variable durat…

cs.RO2026

120 Minutes and a Laptop: Minimalist Image-goal Navigation via Unsupervised Exploration and Offline RL

Xiaoming Liu, Borong Zhang, Qingbiao Li +1

The prevailing paradigm for image-goal visual navigation often assumes access to large-scale datasets, substantial pretraining, and significant computational resources. In this wor…