Juan Luis Rosendo
Papers
1
Total Citations
4
H-Index
1
About
Juan Luis Rosendo is a robotics researcher specializing in the modeling and control of autonomous underwater vehicles (AUVs), with a particular focus on constraint mitigation and robust maneuvering. His most cited work, "Experimental validation of constraint mitigation algorithm in underwater robot depth control" (2018), makes a dual contribution: first, it presents and experimentally validates a six-degree-of-freedom model of the Ciscrea AUV for turn and emerge/sink maneuvers; second, it introduces a novel constraint compensating algorithm grounded in quasi-sliding mode conditioning. This algorithm addresses critical challenges in underwater robotics by ensuring stable depth control even when actuator or environmental constraints are active. With 4 citations, this paper has laid foundational groundwork for safer, more reliable AUV operations in complex underwater environments. Rosendo’s work bridges theoretical control design with real-world experimental validation, offering practical solutions for autonomous systems operating under physical limitations. His research is particularly valuable for students and engineers developing robust control strategies for marine robotics, where precision and safety are paramount.
Research Focus
Key Achievements
Top Papers
- 1