Phil Tokumaru

Papers

Total Citations

149

H-Index

About

Phil Tokumaru is a leading figure in the field of safe autonomous navigation, with a primary focus on bridging classical control theory and modern safety-critical systems. His key research areas include collision avoidance, real-time motion planning, and the comparative analysis of control barrier functions (CBFs) and artificial potential fields (APFs). Tokumaru’s most influential work, "Comparative Analysis of Control Barrier Functions and Artificial Potential Fields for Obstacle Avoidance" (2021), has garnered 149 citations and stands as a definitive reference for engineers seeking to understand the trade-offs between model-independent, computationally lightweight APFs and the formal safety guarantees offered by CBFs. By systematically evaluating these paradigms, he has provided a clear roadmap for selecting appropriate algorithms in dynamic environments, from mobile robots to manipulators. His contributions are particularly valued for their practical impact, offering real-time performance without sacrificing safety. Tokumaru’s work continues to shape how researchers and practitioners approach obstacle avoidance, making him a key voice in the evolution of autonomous systems.