Papers

10

Total Citations

144

H-Index

8

About

Anna Mannucci is a robotics researcher whose work centers on multi-robot coordination, motion planning, and human-aware navigation, with a particular focus on making autonomous systems safe, efficient, and deployable in real-world environments. Her most influential contributions address the fundamental challenge of coordinating heterogeneous robot fleets under realistic conditions — including unreliable communication, asynchronous task posting, and unpredictable human presence. Her 2019 paper on provably safe coordination with unreliable communication (23 citations) and her 2021 work on safe and live multirobot coordination with online goal posting (26 citations) establish formal guarantees for robot behavior that most prior methods had ignored. Alongside task assignment and fleet management frameworks, Mannucci has also advanced human-aware robotics, developing proactive model predictive control that reasons over multi-modal human motion predictions and benchmarking how dynamic environment maps improve robot navigation around people. Her contributions to the ILIAD safety stack demonstrate a commitment to bridging theory and industrial intralogistics practice. With over 140 cumulative citations across a focused body of work, Mannucci is an emerging voice shaping the future of safe, scalable, and socially intelligent autonomous robot systems.

Research Focus

Key Achievements

8
H-Index
10
Papers
144
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
On Provably Safe and Live Multirobot Coordination With Online Goal Posting
26 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: University of Pisa, Örebro University, Robert Bosch (Germany)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago