Hanbyeol Kim

Papers

Total Citations

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About

Hanbyeol Kim is a robotics researcher whose work focuses on advancing force control and interaction capabilities for robotic manipulators without relying on expensive or bulky external sensors. Their key research area centers on sensorless force estimation and control, particularly through the use of momentum observer techniques—a method that leverages the robot's own dynamics to infer external forces. Kim’s most-cited paper, "Sensorless Force Control Algorithm based on Momentum Observer Technique" (2021), presents a novel approach that eliminates the need for traditional six-axis force/torque or joint torque sensors, making robotic systems more cost-effective, compact, and robust. This contribution is significant for applications in human-robot collaboration, assembly, and delicate manipulation tasks where precise force feedback is critical. With 3 citations, this work has already begun to influence the field, offering a practical alternative to sensor-based methods. Kim’s research is particularly valuable for students and engineers seeking to implement compliant control in resource-constrained environments, demonstrating that accurate force interaction can be achieved through algorithmic innovation rather than hardware dependency.