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20232026
most citedSurgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery

6 citations · 28 across the 50 of their papers we have counts for

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12 papers · 1 filter

cs.RO2026

EBV-CAN: Vision--Language Grounding for Contact-Aided Endoscope Navigation

Chi Kit Ng, Shuchang Liu, Jinsong Lin +4

Flexible endoscopes exploit structural compliance to traverse narrow lumens, pipes, and cavities, where navigation involves distributed environmental contact. This compliance makes…

cs.RO2026

EndoLIFT: Language-Disambiguated Latent-Conditioned Rectified Flow for Bidirectional Endoscopic Control

Chi Kit Ng, Yidong Zhang, Lui Siu Hing +9

Routine gastrointestinal endoscopy is intrinsically bidirectional: the instrument is advanced to reach target anatomy and later withdrawn or retroflexed for inspection, while an ex…

cs.RO2026

Trajectory Divergence Horizon Decision for Reliable Dual-Arm Surgical Subtask Manipulation

Mingwu Su, Guankun Wang, Jinsong Lin +8

Surgical robotic systems are increasingly being adopted as clinical workload rises, motivating autonomous solutions for repetitive manipulation subtasks. Learning-based controllers…

cs.RO2026

EndoWAM: A Grounded World-Action Model for Generalizable Endoscopic Navigation

Jinsong Lin, Zikang Pan, Wanhao Liu +10

Autonomous endoscopic navigation can reduce clinicians' operational burden, yet robust control remains challenging due to tissue deformation, transient occlusions, and rapidly chan…

cs.RO2026

BiliVLA: Scene-Aware Vision-Language-Action Model with Reinforcement Learning for Autonomous Biliary Endoscopic Navigation

Jinsong Lin, Chi Kit Ng, Zhiyong Xiong +8

Endoscopic retrograde cholangiopancreatography (ERCP) demands precise endoscopic navigation and stable biliary cannulation within a narrow monocular field characterized by specular…

cs.RO2026

Anatomical Landmark-Guided Deep Reinforcement Learning for Autonomous Gastric Navigation

Haoxuan Wu, Sishen Yuan, Haitao Gao +3

Wireless capsule endoscopy (WCE) enables painless visualization of the gastrointestinal tract, but its diagnostic potential is limited by incomplete mucosal coverage and poor trans…

cs.RO2026

TMR-VLA:Vision-Language-Action Model for Magnetic Motion Control of Tri-leg Silicone-based Soft Robot

Ruijie Tang, Chi Kit Ng, Kaixuan Wu +5

In-vivo environments, magnetically actuated soft robots offer advantages such as wireless operation and precise control, showing promising potential for painless detection and ther…

cs.RO2026

GeoLanG: Geometry-Aware Language-Guided Grasping with Unified RGB-D Multimodal Learning

Rui Tang, Guankun Wang, Long Bai +6

Language-guided grasping has emerged as a promising paradigm for enabling robots to identify and manipulate target objects through natural language instructions, yet it remains hig…

cs.RO2025

CapsDT: Diffusion-Transformer for Capsule Robot Manipulation

Xiting He, Mingwu Su, Xinqi Jiang +3

Vision-Language-Action (VLA) models have emerged as a prominent research area, showcasing significant potential across a variety of applications. However, their performance in endo…

cs.RO2025★ 2 cited

EndoVLA: Dual-Phase Vision-Language-Action Model for Autonomous Tracking in Endoscopy

Chi Kit Ng, Long Bai, Guankun Wang +6

In endoscopic procedures, autonomous tracking of abnormal regions and following circumferential cutting markers can significantly reduce the cognitive burden on endoscopists. Howev…

cs.RO2024

Web-based Augmented Reality with Auto-Scaling and Real-Time Head Tracking towards Markerless Neurointerventional Preoperative Planning and Training of Head-mounted Robotic Needle Insertion

Hon Lung Ho, Yupeng Wang, An Wang +2

Neurosurgery requires exceptional precision and comprehensive preoperative planning to ensure optimal patient outcomes. Despite technological advancements, there remains a need for…

cs.RO2024

Registering Neural 4D Gaussians for Endoscopic Surgery

Yiming Huang, Beilei Cui, Ikemura Kei +3

The recent advance in neural rendering has enabled the ability to reconstruct high-quality 4D scenes using neural networks. Although 4D neural reconstruction is popular, registrati…