Xian-Tuo Tan

Papers

Total Citations

H-Index

About

Xian-Tuo Tan is a rising researcher at the forefront of robotic manipulation and human-robot interaction, with a primary focus on dexterous grasping guided by natural language. His most notable contribution is the introduction of the novel task "Dexterous Grasp as You Say" (DexGYS), which enables robots to interpret human commands and execute complex, dexterous grasps accordingly. This work addresses a critical gap in the field—the scarcity of datasets containing natural human guidance for robotic grasping. By proposing a framework that bridges language understanding and physical manipulation, Tan is pioneering more intuitive and accessible ways for humans to communicate with robots. His 2024 paper, "Grasp as You Say: Language-guided Dexterous Grasp Generation," has already garnered 4 citations, signaling early impact in a rapidly evolving domain. Tan’s research sits at the intersection of computer vision, natural language processing, and robotics, promising to make robotic assistants more responsive and user-friendly. As a young investigator, his work is laying the groundwork for future systems where robots can seamlessly follow spoken instructions to handle objects with human-like dexterity.