W. Samakming
Papers
1
Total Citations
11
H-Index
1
About
W. Samakming is a robotics researcher whose work focuses on the intersection of computer vision and humanoid locomotion, particularly in the domain of stair-climbing for small-scale robots. His most cited work, "Development Image Processing Technique for Climbing Stair of Small Humanoid Robot" (2008, 11 citations), addresses a fundamental challenge in autonomous robotics: enabling a robot to perceive and navigate its environment without external control. Samakming’s key contribution lies in developing an efficient image processing technique that allows a small humanoid robot to detect stair geometry and plan its climbing motion in real time, significantly reducing computational processing time. This work is notable for its practical approach to integrating low-cost vision systems with mechanical control, making autonomous stair climbing more accessible for compact platforms. While his citation count reflects a focused, early-stage contribution, the research has influenced subsequent work in vision-based locomotion for humanoid robots. Samakming’s achievement demonstrates how targeted algorithmic improvements can bridge the gap between theoretical robotics and real-world application, offering a valuable case study for students interested in embedded vision and motion planning.
Research Focus
Key Achievements
Top Papers
- 1