Jayakorn Vongkulbhisal

IBM Research - Tokyo, University of Lisbon

Papers

Total Citations

H-Index

About

Jayakorn Vongkulbhisal is a researcher whose work lies at the intersection of assistive technology, human-robot interaction, and accessible navigation. His most notable contribution is the development of **PathFinder**, a map-less indoor navigation system designed specifically for blind individuals in unfamiliar buildings. Unlike traditional systems that rely on expensive, prebuilt maps, PathFinder leverages real-time sensing and user feedback to guide users without prior environmental data—a breakthrough that earned the paper 41 citations and highlights Vongkulbhisal’s commitment to practical, low-cost accessibility solutions. He also contributed to **Feedbot**, a robotic arm for autonomous assisted feeding, showcasing his versatility in designing robotic systems that directly improve quality of life for people with disabilities. Vongkulbhisal’s work is characterized by a user-centered approach, blending robotics, computer vision, and human factors to create technologies that are both innovative and deployable in real-world settings. His research not only advances the field of assistive robotics but also sets a benchmark for inclusive design, making him a key figure in the movement toward more equitable technological access.