Papers
9
Total Citations
141
H-Index
6
About
Fabricio Garelli is a leading researcher in robotics control, specializing in sliding-mode algorithms for collision avoidance, constraint mitigation, and autonomous vehicle coordination. His work focuses on developing reactive, real-time control strategies that ensure safe and efficient robot operation under physical and environmental constraints. Garelli’s most influential contribution is his reactive sliding-mode algorithm for collision avoidance, which uses geometric invariance to guarantee safe sensor-based navigation—a paper that has garnered 42 citations and is foundational in the field. He has also pioneered sliding-mode speed auto-regulation and task-priority techniques for robotic tracking and coordination, with key papers receiving 25 and 19 citations respectively. His research extends to underwater robotics, where he validated constraint mitigation algorithms on the Ciscrea autonomous underwater vehicle, demonstrating practical impact. Garelli’s work is notable for integrating supervisory loops and path conditioning methods to handle workspace constraints and trap avoidance, achieving robust performance in redundant robots. With a career spanning from early multi-robot coordination in PaSo-Team’98 to recent experimental validations, his contributions have been cited over 140 times, establishing him as a key figure in sliding-mode control for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Reactive Sliding-Mode Algorithm for Collision Avoidance in Robotic Systems42 citations · 2013
- 2Sliding mode speed auto-regulation technique for robotic tracking25 citations · 2011
- 3Integrated sliding-mode algorithms in robot tracking applications19 citations · 2012
- 4Robot coordination using task-priority and sliding-mode techniques17 citations · 2013
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- 6A path conditioning method with trap avoidance13 citations · 2012
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- 9Getting global performance through local information in PaSo-Team’983 citations · 1999