Kensuke Baba
Papers
1
Total Citations
3
H-Index
1
About
Dr. Kensuke Baba is a robotics researcher whose work focuses on the intersection of visual perception and motion control for humanoid robots. His key research areas include visual servo control, object tracking, and predictive motion algorithms. Dr. Baba’s most notable contribution is his 2014 paper, "A prediction method considering object motion for humanoid robot with visual sensor," which proposes an innovative approach to enable robots to track moving objects more effectively by anticipating their trajectories. This work addresses a fundamental challenge in robotics: enabling a humanoid to interact dynamically with its environment using visual feedback. By integrating predictive modeling with visual servo control, Dr. Baba’s method improves a robot’s ability to respond to real-world motion, a critical capability for applications in autonomous navigation and human-robot interaction. While his citation count reflects the specialized nature of his research, his contributions are significant for advancing the practical deployment of visually guided humanoid systems. Dr. Baba’s work continues to influence researchers developing more responsive and adaptive robotic platforms.
Research Focus
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Top Papers
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