Valerio Scordamaglia
Papers
12
Total Citations
115
H-Index
7
About
Valerio Scordamaglia’s research focuses on the cutting-edge intersection of autonomous robotics, trajectory planning, and fault detection, with a particular emphasis on skid-steered mobile robots and multi-robot systems deployed in challenging, real-world environments. His major contributions lie in developing set-based and graph-theoretic algorithms that enable robots to navigate safely under complex constraints, including skid and slip phenomena, communication network delays, and uncertain parameters. Notably, his work on feasible trajectory planning for network-controlled robots (2019, 16 citations) and set-based fault detection during trajectory tracking (2023, 20 citations) has provided foundational solutions for robust autonomous navigation. Scordamaglia has also advanced coordinated multi-robot systems for exploration and surveillance (2023, 11 citations) and contributed to the critical domain of disaster response through his involvement in the CHeMSys project, which addresses cooperative heterogeneous multi-drone systems for search and rescue operations (2023, 11 citations). His recent integrated approach to trajectory planning and fault detection for post-disaster scenarios (2024) underscores his commitment to practical, life-saving applications. With over 100 total citations and a growing portfolio of high-impact papers, Scordamaglia is establishing himself as a key innovator in resilient, autonomous robotic systems for hazardous environments.
Research Focus
Key Achievements
Top Papers
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- 9Path Planning for Wheeled Mobile Robots Using Core Paths Graphs6 citations · 2010
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