Daesung Jeon
Papers
1
Total Citations
14
H-Index
1
About
Dr. Daesung Jeon is a leading researcher in robotics, with a primary focus on advancing sensorless force estimation for robot manipulators. His work addresses a critical challenge in modern robotics: accurately estimating contact forces without relying on expensive or fragile force/torque (F/T) sensors. Jeon’s major contribution lies in developing a data-driven uncertain torque model that accounts for complex, often ignored phenomena like backlash and joint flexibility. By integrating this model with friction models in a gray-box structured approach, he has created a robust framework that significantly improves the reliability of force estimation in real-world robotic applications. His most-cited paper, "Contact Force Estimation Using Uncertain Torque Model and Friction Models for Robot Manipulator" (2024), has already garnered 14 citations, demonstrating its immediate impact on the field. This work is particularly notable for its practical relevance, enabling safer and more cost-effective human-robot interaction and precise manipulation tasks. Jeon’s research is paving the way for more adaptable and resilient robotic systems, making him a rising figure in the robotics community.
Research Focus
Key Achievements
Top Papers
- 1