Raimarius Delagado

Seoul National University of Science and Technology

Papers

Total Citations

H-Index

About

Raimarius Delagado is a robotics researcher whose work centers on motion planning and control for autonomous mobile systems, with a particular emphasis on optimizing trajectories under real-world physical constraints. His most cited paper, "Convolution-based Time Optimal Path Planning for a High Curvature Bezier Curve Considering Possible Physical Limits" (2015, 6 citations), addresses a critical challenge in wheeled mobile robot navigation: generating time-efficient paths along complex, high-curvature curves while respecting acceleration and velocity limits. Delagado’s key contribution lies in developing a convolution-based algorithm that overcomes the limitations of earlier approaches, which often produced excessively long travel times due to conservative acceleration profiles. By explicitly incorporating physical limits into the planning process, his method enables smoother, faster, and more feasible trajectories for robots operating in constrained environments. This work has practical implications for autonomous vehicles, warehouse robots, and field robotics, where both speed and safety are paramount. Though his citation count is modest, Delagado’s focused innovation in path optimization demonstrates a deep understanding of the interplay between geometry, dynamics, and control—a foundation that continues to influence subsequent research in time-optimal motion planning.