Takumi Karasawa

The University of Tokyo, Meiji University

Papers

Total Citations

180

H-Index

About

Takumi Karasawa is a leading researcher in autonomous systems and multi-robot coordination, with a primary focus on robust perception for self-driving vehicles. His most influential work, "Multispectral Object Detection for Autonomous Vehicles" (2017), has garnered 177 citations, establishing a foundational approach for integrating visible and thermal imaging to reliably detect cars, pedestrians, and cyclists under challenging lighting and weather conditions. This contribution directly addresses a critical bottleneck in autonomous driving safety, enabling more resilient environmental perception. Karasawa has also advanced the field of cooperative robotics with his work on "A mutual positioning relay method of multiple robots for monitoring indoor environments" (2022). In this study, he introduces an elegant hierarchical system where a few high-precision "parent" robots guide a larger swarm of low-cost "child" robots, enabling scalable and accurate indoor monitoring without expensive hardware on every unit. This research demonstrates his versatility in tackling both high-stakes outdoor autonomy and practical indoor multi-agent coordination. Karasawa’s work bridges the gap between cutting-edge sensor fusion and pragmatic swarm robotics, making him a notable figure in the evolution of intelligent, autonomous systems.