Jiwoong Lim
Papers
1
Total Citations
13
H-Index
1
About
Dr. Jiwoong Lim is a leading researcher in robotics and human-robot interaction, with a primary focus on worker safety and autonomous systems. His key research areas include mobile manipulator control, collision avoidance, and reinforcement learning for industrial applications. Dr. Lim’s most notable contribution is his pioneering work on integrating reinforcement learning with safety monitoring systems, as demonstrated in his highly cited 2021 paper, "Designing Path of Collision Avoidance for Mobile Manipulator in Worker Safety Monitoring System Using Reinforcement Learning" (13 citations). This study addresses the critical challenge of safely coordinating mobile manipulators—next-generation robots that combine mobility with collaborative robotic arms—in dynamic industrial environments. By developing a reinforcement learning-based path planning algorithm, Dr. Lim enables these systems to autonomously avoid collisions with human workers while maintaining operational efficiency. His work bridges the gap between advanced robotics and workplace safety, offering practical solutions for factories and warehouses. With his research gaining traction in the robotics community, Dr. Lim is recognized for advancing the safe deployment of collaborative robots, making him a key figure in the evolution of human-centric automation.
Research Focus
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Top Papers
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