Ka C.
Papers
1
Total Citations
5
H-Index
1
About
Ka C. is a robotics researcher whose work focuses on the intersection of control theory and humanoid locomotion, particularly in the development of biologically inspired walking systems. Their most cited work, "Experimental Implementation of Lyapunov based MRAC for Small Biped Robot Mimicking Human Gait" (2011, 5 citations), introduces a novel approach to bipedal ambulation by combining Lyapunov-based Model Reference Adaptive Control (MRAC) with human gait imitation. The key contribution lies in using tri-axis accelerometers attached to human legs and torso to capture tilt angle patterns, which are then transformed into control inputs for a small biped robot. This work demonstrates how human motion data can directly inform robotic control strategies, bridging the gap between biomechanics and adaptive control. While their citation count is modest, Ka C.'s research represents an early and practical step toward more natural, human-like robot locomotion, offering valuable insights for students and researchers exploring adaptive control in humanoid robotics.
Research Focus
Key Achievements
Top Papers
- 1