Papers

10

Total Citations

169

H-Index

5

About

Louis-A. Dessaint is a prominent robotics and control systems researcher whose work has significantly advanced the field of adaptive and intelligent robot control. His research focuses on three interconnected areas: adaptive control theory, neural network-based control, and constrained robotic systems, with particular emphasis on high-speed direct-drive manipulators such as SCARA robots. Dessaint's most influential contribution, cited 51 times, presents a sophisticated multistage position/force controller for constrained robotic systems, employing Linear Matrix Inequality (LMI) formalism to address the complexities of friction and contact dynamics. This work stands as a landmark in hybrid motion/force control design. His early foundational paper on adaptive control for direct-drive SCARA robots (1992, 40 citations) established practical frameworks for managing nonlinear dynamic effects — including Coriolis and centrifugal forces — that are especially pronounced in high-speed manipulation. Dessaint also made notable strides in applying neural networks to robot trajectory tracking, contributing comparative studies that rigorously evaluated adaptive versus neural adaptive strategies (each garnering 27 citations). His broader body of work, spanning real-time controller implementation and Cartesian-space control schemes, reflects a consistent commitment to bridging theoretical control design with practical robotic applications, making his research a valuable reference for both engineers and advanced students in robotics.

Research Focus

Key Achievements

5
H-Index
10
Papers
169
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A Multistage Position/Force Control for Constrained Robotic Systems With Friction: Joint-Space Decomposition, Linearization, and Multiobjective Observer/Controller Synthesis Using LMI Formalism
51 citations · 2006
📈 Most Prolific Year: 1992 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: École de Technologie Supérieure, Université du Québec à Montréal, École Normale Supérieure - PSL

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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