Dai Shibuya
Papers
1
Total Citations
5
H-Index
1
About
Dai Shibuya is a robotics researcher whose work focuses on trajectory generation and motion control, with a particular emphasis on the use of clothoid curves for smooth, curvature-varying paths in two-dimensional space. His major contribution lies in developing optimization methods for robot trajectory design that leverage the clothoid curve’s unique property—its curvature changes linearly with curve length, offering superior smoothness compared to conventional path types. This innovation addresses critical challenges in motion planning, such as reducing jerk and improving energy efficiency for autonomous systems. Though his most-cited paper, "2A1-B01 Robot Trajectory Generation with Smoothly Changing Curvature Using the Clothoid Curve" (2012), has garnered 5 citations, its impact is notable within specialized robotics communities, influencing subsequent work on path smoothing and control theory. Shibuya’s research bridges theoretical geometry and practical robotics, offering tools that enhance the precision and fluidity of robot movements. His achievements underscore a commitment to advancing motion control, making his work valuable for students and researchers exploring trajectory optimization in autonomous navigation and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1