Raúl Rascoń

Universidad Autónoma de Baja California

Papers

5

Total Citations

30

H-Index

3

About

Raúl Rascoń is a control systems researcher whose work focuses on the practical challenges of robotic manipulation and mobile robotics. His primary research areas include trajectory tracking control, output feedback systems, and robust control for mechanical systems. Rascoń's most significant contribution is the development of a trajectory tracking controller for robot manipulators that operates using output feedback alone—eliminating the need for velocity measurements or observers. This work, published in 2020 and his most cited paper with 14 citations, addresses a fundamental practical limitation in robotic control. His 2019 paper on robust tracking control using only position measurements further advances this theme, with 8 citations. Rascoń has also explored saturated proportional-integral control for unmanned wheeled mobile robots, validated through experimental evaluations (2022, 4 citations). His research extends to force control and stabilization under unilateral constraints, where he has investigated chattering behavior in mechanical systems. More recently, he has addressed Cartesian trajectory tracking for manipulators (2024). Through his body of work, Rascoń demonstrates a consistent focus on making robotic control more practical, robust, and implementable with minimal sensor requirements.

Research Focus

Key Achievements

3
H-Index
5
Papers
30
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Output feedback controller for trajectory tracking of robot manipulators without velocity measurements nor observers
14 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Universidad Autónoma de Baja California

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 70 days ago