Papers
3
Total Citations
18
H-Index
2
About
R. Castro is a control systems researcher whose work focuses on the robust and practical control of robotic and mechanical systems. His key research areas include formation control for mobile robots, nonlinear control design for manipulators, and the regulation of uncertain Euler–Lagrange systems. Castro’s most cited paper, "Robot formation control using backstepping and sliding mode techniques" (2009, 13 citations), introduces a novel leader-follower scheme that combines backstepping with sliding mode control to achieve robust formation stability. This work has been foundational for researchers working on multi-robot coordination. In his 2020 paper (3 citations), Castro addresses the critical challenge of input saturation in robotic manipulators, proposing a convex optimization solution based on linear matrix inequalities. His most recent work (2024, 2 citations) extends practical output regulation to uncertain Euler–Lagrange systems, offering a framework for real-world applications where model uncertainty is unavoidable. Castro’s contributions bridge theoretical control design and practical implementation, making his research valuable for students and engineers developing autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Robot formation control using backstepping and sliding mode techniques13 citations · 2009
- 2
- 3Practical output regulation of uncertain Euler–Lagrange systems2 citations · 2024