Manuel De la Sen
University of the Basque Country, Centro de Investigación y Desarrollo
Papers
16
Total Citations
176
H-Index
7
About
Manuel De la Sen is a leading figure in adaptive and robust control theory, with a particular focus on robotic manipulators and teleoperation systems. His work masterfully bridges classical control engineering with artificial intelligence, graph theory, and expert systems to solve complex, real-world automation challenges. De la Sen’s most significant contribution is the development of multiestimation-based adaptive control schemes, which ensure robust closed-loop stability for robotic systems operating under uncertainty. His landmark 2006 paper on master-slave robotic manipulators with force reflection (51 citations) addresses the critical problem of stable teleoperation, while his 2005 work on multiestimation control for robotic arms (15 citations) provides a foundational framework for supervisory index-based switching between parallel estimators. Beyond robotics, De la Sen has pioneered the use of graph theory, neural networks, and fuzzy logic to formally describe switched linear control systems, as seen in his 2006 publication (12 citations). His research on expert systems for supervising adaptation transients in planar robots (34 citations) further demonstrates his ability to translate theoretical advances into practical engineering tools. With a career spanning decades, De la Sen’s work remains essential reading for researchers in adaptive control, robotics, and intelligent automation.
Research Focus
Key Achievements
Top Papers
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- 6Robust impedance control of robotic manipulators12 citations · 2004
- 7An approach to adaptive neural control of robot manipulators8 citations · 1996
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- 9Logical Formal Description of Expert Systems6 citations · 2002
- 10Logical Formal Description of Expert Systems. Preliminary Results4 citations · 1997