Dongik Shin

Hanyang University, Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Dongik Shin is a robotics researcher whose work centers on sensor design and mobile robot navigation, with a particular focus on creating compact, practical solutions for real-world robotic systems. His most cited contributions include the development of an innovative compact torque sensor using optical techniques, designed specifically for wearable and quadruped robots. This work addresses a critical challenge in robotics: traditional torque sensors add significant bulk and weight to robot joints, limiting mobility and performance. Shin’s optical sensor design offers a lighter, more compact alternative, enabling more agile and efficient robotic movement. His research also extends to mobile robot navigation, where he has developed an improved line-following optimization algorithm. While machine vision dominates modern navigation, Shin’s work demonstrates that optimized line-following remains a valuable, low-cost approach for specific applications, as evidenced by his team’s success in line-follower robot competitions. With papers accumulating citations in the single digits, Shin’s impact is still emerging, but his focus on practical, manufacturable sensor designs and efficient navigation algorithms positions him as a contributor to the ongoing evolution of robotics hardware and control systems.