Papers
26
Total Citations
840
H-Index
9
About
Isabelle Fantoni is a prominent robotics and control systems researcher whose work spans underactuated mechanical systems, multi-robot coordination, and autonomous platform intelligence. She is perhaps best known for her foundational contributions to energy-based control of underactuated robots, most notably her highly influential work on the Pendubot — a two-link robotic system requiring sophisticated control strategies to achieve swing-up and stabilization at an unstable equilibrium. These papers, collectively accumulating nearly 500 citations, established passivity and energy-based approaches as powerful frameworks for tackling complex underactuated dynamics. Fantoni's research has since evolved to address pressing challenges in autonomous robotics, including image processing using Pearson's correlation coefficient for sensor data management (69 citations), real-time power optimization for long-endurance robotic missions, and depth video compression for mobile RGB-D sensors. More recently, she has made significant contributions to multi-robot systems, developing consensus-based formation control, obstacle avoidance strategies, and cooperative transportation frameworks grounded in hierarchical quadratic programming. Her 2013 work on global finite-time stability through local homogeneity further demonstrates her theoretical depth. Across her career, Fantoni has consistently bridged rigorous mathematical control theory with practical autonomous systems, making her a valuable reference for researchers working at the intersection of robotics, optimization, and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1Energy based control of the Pendubot481 citations · 2000
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- 6Passivity based control of the Pendubot19 citations · 1999
- 7Fast Depth Video Compression for Mobile RGB-D Sensors16 citations · 2015
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- 9Stabilization of a two-link robot using an energy approach12 citations · 1999
- 10