Fusheng Tan

Shanghai Electric (China), ABB (Switzerland), Harbin Institute of Technology

Papers

Total Citations

H-Index

About

Fusheng Tan is a robotics researcher whose work spans indoor mobile robot navigation, robotic machining, and microassembly. His most influential contributions center on developing practical localization and navigation systems for family indoor monitor mobile robots. Tan proposed a hybrid localization method combining straight line matching, corner matching, and odometry, addressing the challenge of determining robot position in cluttered home environments—a problem that remains central to service robotics. His 2010 paper on this navigation system, with 9 citations, introduces hardware and software configurations for collision avoidance and path planning. In robotic machining, Tan pioneered a force-control-based fast programming method (2008) that enables lead-through teaching and template-based automatic program generation, reducing programming time for industrial robots. Earlier, he contributed to microassembly by developing a collision response method within a virtual reality framework for peg-in-hole tasks (2004), featuring a two-level collision detection system. Though his citation counts are modest, Tan’s work represents foundational steps in making robots more autonomous and user-friendly in both domestic and manufacturing settings.