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About

Marcio de Queiroz is a prominent control systems researcher whose work centers on nonlinear control theory, robotics, and multi-agent systems. A faculty member at Louisiana State University, he has made foundational contributions to the adaptive and Lyapunov-based control of complex mechanical systems, earning widespread recognition across the robotics and control engineering communities. His landmark textbook, *Lyapunov-Based Control of Mechanical Systems* (2000, 238 citations), co-authored with Dawson, Nagarkatti, and Zhang, remains an essential reference for researchers designing stability-guaranteed controllers for physical systems. His early work on adaptive partial state-feedback control for electrically driven robot manipulators (1996, 124 citations) and output feedback tracking of uncertain robots (2000, 129 citations) addressed critical challenges in controlling systems where full state measurements are unavailable. He further extended his expertise to flexible-link robots, bounded torque control, and vision-based servoing, demonstrating remarkable breadth. More recently, de Queiroz has contributed significantly to multi-robot coordination, with his rigidity-based adaptive formation control framework (2014, 129 citations) becoming highly influential in the autonomous vehicle and swarm robotics communities. Collectively, his body of work—spanning theoretical foundations to experimental validation—has garnered over 1,000 citations, cementing his reputation as a leading figure in nonlinear and adaptive control for robotic systems.