Veselin Kanchev
Papers
1
Total Citations
5
H-Index
1
About
Veselin Kanchev is a robotics researcher specializing in the dynamics and control of humanoid bipedal locomotion. His work centers on modeling and identifying the complex walking patterns of humanoid robots, with a particular focus on applying linear regression techniques to capture and predict joint behavior. In his most-cited paper, "Identification of Humanoid Biped Robot During Walking with Linear Regression Models" (2019), Kanchev investigated the walking dynamics of a biped robot using a multivariable linear time-invariant structure. He demonstrated that during low-speed walking, angular velocity in a joint varies proportionally to small deviations in the gait, offering a simplified yet effective framework for real-time control. This contribution provides a foundational approach for improving stability and efficiency in humanoid robot locomotion. While his citation count is modest, his work represents a focused, technically rigorous step toward making bipedal robots more predictable and controllable, with potential applications in assistive robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1