Tomohiro Takagi

Fuzzy Systems Institute, The University of Tokyo

Papers

Total Citations

H-Index

About

Tomohiro Takagi is a pioneering researcher in the fields of fuzzy logic control, autonomous mobile robotics, and human-robot interaction. His foundational work in the early 1990s established key algorithms for intelligent robot navigation, most notably the "Behavior-decision fuzzy algorithm for autonomous mobile robots" (1993, 13 citations), which provided a robust framework for real-time decision-making in dynamic environments. His earlier study on obstacle avoidance using fuzzy production systems (1991, 10 citations) introduced novel methods for handling both moving and stationary obstacles, laying critical groundwork for safe autonomous navigation. Takagi further expanded his research into cooperative robotics with his work on "Cooperative Works for Welfare Agent Robot and Human Using Chaotic Evolutionary Computation" (1999, 3 citations), exploring how chaotic dynamics and evolutionary algorithms could enhance collaboration between humans and assistive robots. While his citation counts reflect the niche, foundational nature of his contributions, Takagi’s early fuzzy logic approaches have influenced subsequent generations of mobile robot control systems, particularly in obstacle avoidance and behavior-based decision-making. His career demonstrates a sustained commitment to bridging theoretical fuzzy systems with practical robotic applications.