Papers
6
Total Citations
63
H-Index
5
About
Nicolas Marchand is a leading figure in robotics and control theory, whose work bridges the gap between bio-inspired design and real-time aerial manipulation. His research focuses on the stabilization and control of complex robotic systems, from eel-like swimming robots to quadcopters equipped with manipulator arms. Marchand’s major contributions include developing quaternion-based modeling and observer-based torque compensation for aerial manipulators, addressing the critical stability issues caused by multi-body coupling. His work on feedback design for 3D movement of eel-like robots, part of a national French project, has been foundational in bio-robotics, with 15 citations. More recently, he has advanced odometry for UAVs using optic flow in oscillatory trajectories, enabling robust indoor and outdoor navigation without GPS. With key papers accumulating over 60 citations, Marchand’s achievements demonstrate a career dedicated to solving real-world challenges in robotics, from constrained control to bounded attitude stabilization of flapping robots. His research is essential reading for students and engineers interested in the intersection of control theory, biomimetics, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Feedback design for 3D movement of an Eel-like robot15 citations · 2007
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- 5
- 6Bounded attitude control of a biomimetic flapping robot3 citations · 2007