Hunmo Kim
Papers
8
Total Citations
103
H-Index
5
About
Hunmo Kim is a pioneering researcher in the field of biomimetic robotics and soft actuation, with a particular focus on dielectric polymer actuators and their control systems. His most influential work, "Damped least square based genetic algorithm with Gaussian distribution of damping factor for singularity-robust inverse kinematics" (2008, 47 citations), demonstrates his expertise in developing sophisticated computational methods for robotic control. Kim's groundbreaking contributions include the development of multiple degree-of-freedom digital soft actuators for robotic applications (2003, 25 citations), which introduced muscle-like characteristics capable of forward/backward motion and controllable compliance. His early work on biomimetic actuators based on dielectric polymers (2002, 11 citations) established a novel approach to bidirectional actuation with compliant electrodes, distinguishing itself through controllable compliance. Kim also contributed to the development of micro inchworm robots using electrostrictive polymer actuators (2001, 8 citations) and explored neural network-based tracking control for flexible joint robots (2005). His research has significantly advanced the understanding of polymer-based actuation systems, laying groundwork for soft robotics and bio-inspired robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multiple degree-of-freedom digital soft actuator for robotic applications25 citations · 2003
- 3<title>Biomimetic actuator based on dielectric polymer</title>11 citations · 2002
- 4
- 5Electrostrictive polymer actuators and their control systems6 citations · 2001
- 6
- 7
- 8A 3D IR Camera with Variable Structured Light for Home Service Robots2 citations · 2006