Vicente Parra‐Vega
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Centro de Investigación en Materiales Avanzados, The University of Tokyo, Instituto Politécnico Nacional, Instituto Tecnológico de Saltillo, University of Electro-Communications, Instituto de Estudios Avanzados, Centre of Advanced Studies, Tecnológico Nacional de México, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Instituto Tecnológico Superior de Irapuato
Papers
127
Total Citations
1,881
H-Index
20
About
Vicente Parra-Vega is a prominent robotics and control systems researcher whose work spans advanced control theory, robot manipulators, aerial vehicles, and teleoperation. Based at the intersection of theoretical rigor and experimental validation, his research has fundamentally advanced the design of robust, adaptive, and sliding mode controllers for complex robotic systems. His most celebrated contribution, a 2003 study on dynamic sliding PID control for robot manipulators (323 citations), established critical theoretical and experimental foundations for tracking control, extending classical PD and PID frameworks to guarantee stability across demanding conditions. His early work on passivity-based adaptive sliding mode control (1996) and decentralized adaptive control of cooperative manipulators (1997) laid groundwork for multi-robot coordination and constrained motion tasks that continues to influence the field. Parra-Vega's research portfolio also demonstrates remarkable breadth: from bilateral teleoperation under time delays to quadrotor attitude control using fractional sliding modes, and passivity-based control of underwater vehicle-manipulator systems. His contributions consistently prioritize real-world applicability, addressing disturbances, uncertainties, and sensor limitations that challenge practical deployment. With over 900 cumulative citations across his top works, Parra-Vega stands as an authoritative voice in modern robotics control, making his publications essential reading for researchers working in autonomous systems, human-robot interaction, and advanced motion control.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Decentralized adaptive control of multiple manipulators in co-operations68 citations · 1997
- 5
- 6
- 7
- 8On the Control of Cooperative Robots Without Velocity Measurements49 citations · 2004
- 9
- 10High Precision Constrained Grasping with Cooperative Adaptive Handcontrol39 citations · 2001