Antonio Sala
Papers
14
Total Citations
336
H-Index
10
About
Antonio Sala is a leading researcher in the field of robotics and control systems, with a primary focus on human-robot collaboration, collision avoidance, and sliding-mode control. His most impactful contribution is the SHERPA project, a European initiative that developed a mixed ground-aerial robotic platform for search and rescue in alpine environments, accumulating 129 citations. Sala has pioneered reactive sliding-mode algorithms for collision avoidance in robotic systems (42 citations), establishing fundamental safety frameworks for autonomous navigation. His work on sliding-mode speed auto-regulation and integrated sliding-mode algorithms for robot tracking has been widely recognized, with multiple papers exceeding 15 citations. Sala has also made significant contributions to nonlinear quadratic control through duality-based approaches, constraint-aware policy learning, and supervisory loop techniques for redundant robots. His research extends to dual-rate controller design for unstable systems, demonstrating versatility across control theory applications. With a publication record spanning over a decade, Sala's work has accumulated hundreds of citations, establishing him as a key figure in advancing robotic safety, autonomy, and human-robot interaction in challenging environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Reactive Sliding-Mode Algorithm for Collision Avoidance in Robotic Systems42 citations · 2013
- 3Sliding mode speed auto-regulation technique for robotic tracking25 citations · 2011
- 4Integrated sliding-mode algorithms in robot tracking applications19 citations · 2012
- 5
- 6Constraint-aware learning of policies by demonstration18 citations · 2018
- 7Robot coordination using task-priority and sliding-mode techniques17 citations · 2013
- 8
- 9
- 10A path conditioning method with trap avoidance13 citations · 2012