Weihang Huang

Tsinghua–Berkeley Shenzhen Institute, Shanghai Jiao Tong University

Papers

Total Citations

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About

Weihang Huang is a pioneering researcher at the intersection of robotics, artificial intelligence, and medical device engineering. His work spans two transformative domains: intelligent robotic task planning and MR-safe surgical robotics. In his highly cited 2024 paper "GRID," Huang introduced a novel scene-graph-based framework that leverages Large Language Models for instruction-driven robotic planning, moving beyond raw image processing to enable more nuanced environmental understanding—a contribution that has already garnered 19 citations and signals a paradigm shift in human-robot interaction. Earlier, Huang demonstrated his versatility in medical robotics with his 2021 work on a pneumatically actuated MR-safe parallel robot for deep brain stimulation electrode implantation. This research addresses the critical challenge of performing precise neurosurgery within the MRI environment, combining patient safety with the superior imaging guidance that MRI provides. While his medical robotics paper has 3 citations, its practical implications for treating neurological disorders are profound. Huang's dual expertise in both cognitive robotics and surgical mechatronics marks him as a rising interdisciplinary talent, whose work promises to advance both autonomous robotic systems and life-changing medical interventions.