Alessia Ferraro
Papers
10
Total Citations
89
H-Index
6
About
Dr. Alessia Ferraro is a leading researcher in autonomous robotics, specializing in trajectory planning and control for mobile robots operating in challenging, uncertain environments. Her work is pivotal for post-disaster response, search and rescue, and surveillance missions. Dr. Ferraro’s major contributions include developing novel set-theoretic algorithms that ensure safe and feasible motion for skid-steered robots, even when subject to complex skid and slip phenomena, communication delays, and external disturbances. She has pioneered integrated approaches that combine trajectory planning with fault detection, significantly enhancing the reliability of remotely controlled vehicles. Her highly cited 2023 paper on a set-based fault detection method for robotic vehicles has garnered 20 citations, while her foundational 2019 work on feasible trajectory planning for networked robots has 16 citations. Dr. Ferraro has also advanced multi-robot coordination, notably through her 2023 paper on coordinated trajectory planning for ground-based systems in exploration missions (11 citations) and her comprehensive review on multi-drone systems for search and rescue (11 citations). Her ongoing leadership in the CHeMSys project underscores her commitment to developing cooperative heterogeneous multi-drone systems for disaster prevention and first response, cementing her status as a key innovator in resilient, autonomous robotics.
Research Focus
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