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About

Feihu Sun is a robotics researcher whose work sits at the intersection of underwater robotics, computer vision, and bio-inspired locomotion. His research focuses primarily on visual measurement, embedded vision systems, and autonomous control for underwater robotic platforms — with a particular emphasis on biomimetic robotic fish. Sun has made significant contributions to solving one of the field's most persistent challenges: achieving reliable visual tracking and control in the optically demanding aquatic environment, where conventional ground-based imaging techniques frequently fall short. His most influential work, "Embedded Vision-Guided 3-D Tracking Control for Robotic Fish" (2015, 65 citations), introduced a novel visual identification and positioning method enabling accurate three-dimensional tracking control of free-swimming robotic fish — a meaningful step forward for autonomous underwater vehicle research. His 2013 survey on visual measurement and control for underwater robots (26 citations) provided the broader research community with a valuable synthesis of challenges and representative applications in this rapidly evolving field. Sun also pioneered the integration of central pattern generator (CPG)-based motion models with embedded vision systems, advancing the biological realism and operational autonomy of aquatic robots. Across his body of work, Sun has demonstrated a consistent commitment to bridging sophisticated algorithms with practical embedded hardware implementations.