Byungsoo Ko

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Byungsoo Ko is a researcher at the forefront of robotics and autonomous navigation, with a particular focus on developing intelligent systems for homecare applications. His work addresses the critical challenge of enabling mobile robots to operate reliably in dynamic, human-centered environments—a pressing need given the growing elderly and disabled populations. Ko’s most cited paper, "Neural network-based autonomous navigation for a homecare mobile robot" (2017, 36 citations), introduces a neural network-driven approach to help robots adapt to frequent environmental changes, obstacles, and shifting goal positions. This contribution is notable for its practical emphasis on real-world deployment, moving beyond controlled lab settings to tackle the unpredictability of home spaces. By leveraging deep learning for real-time decision-making, Ko’s research bridges the gap between theoretical robotics and assistive technology, offering scalable solutions for safer, more independent living. His work has been recognized for its potential to enhance quality of life, and it continues to inspire further advances in human-robot interaction and adaptive navigation systems.