From the 1 of 9 linked papers with an AI index.
1 citations · 1 across the 4 of their papers we have counts for
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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…
BiliVLA: Scene-Aware Vision-Language-Action Model with Reinforcement Learning for Autonomous Biliary Endoscopic Navigation
Jinsong Lin, Chi Kit Ng, Zhiyong Xiong +8
The paper introduces BiliVLA, a vision‑language‑action system that uses instruction‑conditioned visuomotor learning and reinforcement learning to autonomously navigate a continuum…
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
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…
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…
Jacobian Exploratory Dual-Phase Reinforcement Learning for Dynamic Endoluminal Navigation of Deformable Continuum Robots
Yu Tian, Chi Kit Ng, Hongliang Ren
Deformable continuum robots (DCRs) present unique planning challenges due to nonlinear deformation mechanics and partial state observability, violating the Markov assumptions of co…