Hisao Tamaki

Papers

Total Citations

137

H-Index

About

Hisao Tamaki’s research lies at the intersection of computational geometry, robotics, and motion planning, where he has made foundational contributions to how robots navigate complex environments. His most influential work, the 1995 paper “Motion planning for a steering-constrained robot through moderate obstacles” (76 citations), co-authored with Pankaj K. Agarwal and Prabhakar Raghavan, established key algorithms for planning paths under non-holonomic constraints—a critical challenge for vehicles like cars or trailers that cannot move sideways. This work remains a cornerstone for researchers tackling real-world robotic navigation. Tamaki further advanced the field with his 2002 study “Motion planning on a graph” (55 citations), which formalized the problem of moving a robot through a graph while avoiding movable obstacles—a scenario directly applicable to warehouse logistics and automated storage systems. His exploration of reinforcement learning for quadruped locomotion, though less cited, demonstrates his versatility in applying machine learning to robotics. Across his career, Tamaki’s papers have accumulated over 140 citations, reflecting their enduring relevance to both theoretical computer science and practical robotics. His work continues to inspire students and researchers seeking efficient solutions for constrained motion planning.