Sunghoon Lim
Papers
1
Total Citations
7
H-Index
1
About
Sunghoon Lim is a researcher in robotics and autonomous systems, with a primary focus on motion planning and control for complex robotic manipulators. His most cited work, "Cooperative Path Planning for Redundant Dual-Arm Robot Using Low-Dimensional Sample-Based Algorithm" (2010, 7 citations), addresses a critical challenge in robotics: enabling two redundant arms to work together safely and efficiently. Lim’s key contribution lies in developing a low-dimensional sample-based algorithm that simplifies the high-dimensional configuration space of dual-arm systems, making cooperative path planning computationally tractable. This work has practical implications for manufacturing, assembly, and human-robot collaboration, where precise, collision-free coordination is essential. While his citation count reflects a niche but impactful contribution, Lim’s research is notable for its focus on redundancy resolution and real-time applicability, bridging theoretical planning methods with real-world robotic tasks. His algorithm’s ability to reduce computational complexity without sacrificing solution quality has been recognized by peers in the robotics community, positioning him as a thoughtful contributor to the field of multi-arm manipulation.
Research Focus
Key Achievements
Top Papers
- 1