Tiko Kameda

Papers

Total Citations

161

H-Index

About

Tiko Kameda is a distinguished computer scientist whose research spans robotics, computational geometry, and distributed computing. He is best known for pioneering work in autonomous robot exploration, particularly through his landmark 1998 paper "How to learn an unknown environment. I," which has garnered 161 citations. In this foundational work, Kameda addressed the fundamental challenge of how a robot can efficiently explore and map an unknown room with obstacles, developing algorithms that guarantee a bounded ratio between the distance traveled and the optimal path. This contribution established a rigorous theoretical framework for competitive analysis in robotic exploration, influencing subsequent research in mobile robotics and sensor networks. Beyond this, Kameda has made significant contributions to distributed algorithms, graph theory, and online computation. His work is characterized by elegant mathematical analysis and practical relevance, earning him recognition as a leading figure in theoretical computer science. With a career spanning decades, Kameda continues to inspire researchers tackling fundamental problems in autonomous systems and algorithmic robotics.