Papers
12
Total Citations
229
H-Index
6
About
Pietro Pierpaoli is a leading researcher in multi-robot systems, focusing on the formal composition of coordinated behaviors, resilient network control, and the unconventional use of collisions as information sources. His major contributions include developing control barrier certificates to ensure formally correct behavior sequences in multi-robot teams, and pioneering frameworks for resilient monitoring through dynamic network reconfiguration under resource failures. Notably, his work on leveraging inter-robot collisions—rather than avoiding them—as a sensing modality for localization in densely packed swarms represents a paradigm shift in swarm robotics. With his most-cited paper, "Formally Correct Composition of Coordinated Behaviors Using Control Barrier Certificates" (2018), accumulating 77 citations, and multiple works on collision exploitation and UAV trajectory modification, Pierpaoli’s research has garnered over 225 citations. His innovative approaches to decentralized interference reduction and reinforcement learning for behavior sequencing further underscore his impact, offering practical solutions for scalable, robust multi-robot coordination in real-world applications.
Research Focus
Key Achievements
Top Papers
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- 6Altering UAV flight path by threatening collision8 citations · 2015
- 7A Sequential Composition Framework for Coordinating Multirobot Behaviors6 citations · 2020
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- 10A Reinforcement Learning Framework for Sequencing Multi-Robot Behaviors3 citations · 2019