Tesshu Fujinami
Papers
1
Total Citations
5
H-Index
1
About
Tesshu Fujinami is a robotics researcher specializing in safe autonomous navigation and visual pursuit control. His work centers on integrating control barrier functions with vision-based systems to enable mobile robots to track moving targets while maintaining safety constraints. In his most cited paper, "A Control Barrier Function Approach for Observer-based Visually Safe Pursuit Control with Spherical Obstacles" (2023), Fujinami addresses a critical challenge: ensuring a robot can keep a target with unknown motion within its camera's field of view while avoiding obstacles. This approach combines observer-based estimation with formal safety guarantees, offering a robust solution for dynamic environments. Though early in his career, his contributions have already garnered attention, with this work accumulating 5 citations. Fujinami's research bridges theoretical control theory and practical robotics, promising safer and more reliable autonomous systems for applications like surveillance, search-and-rescue, and human-robot interaction. His innovative use of barrier functions for visual constraints marks him as an emerging voice in the field of safe autonomy.
Research Focus
Key Achievements
Top Papers
- 1