Papers
11
Total Citations
362
H-Index
5
About
Federico Rossi is a robotics and autonomy researcher whose work spans two major domains: autonomous transportation systems and multi-robot space exploration. His early contributions made a significant mark on the emerging field of autonomous mobility-on-demand (AMoD), where his model predictive control framework for coordinating self-driving vehicle fleets (152 citations) and his foundational work on routing autonomous vehicles in congested networks (152 citations) established key theoretical and algorithmic foundations for urban robotic transportation. These highly cited works demonstrate his ability to bridge optimization theory with real-world mobility challenges. Rossi's research trajectory has since expanded into multi-agent autonomy for extreme environments, most notably through NASA's CADRE mission—a landmark lunar technology demonstration deploying a cooperative team of rovers on the Moon's surface. His contributions to distributed computation, shared-world coordination, and planning under uncertainty for planetary rovers reflect a sustained commitment to pushing the boundaries of what robotic teams can achieve with limited communication and resources. His work on visual analytics tools for debugging multi-robot systems further highlights his attention to practical deployment challenges. Across domains, Rossi's research consistently addresses how intelligent systems can coordinate effectively under real-world constraints, making him a notable figure in both terrestrial and space robotics communities.
Research Focus
Key Achievements
Top Papers
- 1Model predictive control of autonomous mobility-on-demand systems152 citations · 2016
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- 4Mars On-Site Shared Analytics Information and Computing13 citations · 2019
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- 7Multirobot Onsite Shared Analytics Information and Computing3 citations · 2022
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- 10Autonomous Vehicle Routing in Congested Road Networks.2 citations · 2016