Chulho Shin

Papers

Total Citations

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About

Chulho Shin is a robotics researcher whose work centers on advancing force control and interaction safety for robotic manipulators. His primary research areas include sensorless force estimation, momentum observer techniques, and human-robot collaboration. Shin’s major contribution lies in developing algorithms that enable robots to detect and respond to external forces without relying on expensive or fragile torque sensors, thereby reducing system complexity and cost. His most cited paper, “Sensorless Force Control Algorithm based on Momentum Observer Technique” (2021), has garnered 3 citations and introduces a robust method for estimating contact forces using only proprioceptive data, a key step toward safer, more accessible robotic systems. This work has implications for industrial automation, assistive robotics, and collaborative environments where precise force feedback is critical. By eliminating the need for dedicated sensors, Shin’s approach enhances the practicality of force control in real-world applications. His research continues to push the boundaries of how robots perceive and interact with their surroundings, making him a promising voice in the field of intelligent robotic control.