Bone-Seck Kim
Papers
1
Total Citations
3
H-Index
1
About
Bone-Seck Kim is a researcher in robotics and sensor systems, with a primary focus on enhancing dexterous manipulation in service robots. His most-cited work, "Development of joint torque sensor and calibration method for robot finger" (2013), addresses a critical challenge in robotic hands: achieving precise force sensing for safe and effective object interaction. By proposing a novel torque sensor design and calibration method, Kim contributed to the foundational hardware that enables robots to perform delicate, human-like tasks. This work has garnered 3 citations, reflecting its niche but valuable impact on the robotics community. Kim’s research aligns with the growing demand for service robots capable of assisting humans in daily environments, where accurate sensing is essential for adaptability and safety. His contributions to sensor calibration and joint torque measurement represent a practical step toward more intelligent and responsive robotic systems, making his work relevant for students and researchers interested in the intersection of mechanical design, sensor technology, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1