Beatrice Capelli
University of Modena and Reggio Emilia, California Institute of Technology
Papers
14
Total Citations
251
H-Index
11
About
Beatrice Capelli is a leading researcher in multi-robot systems, with a focus on connectivity maintenance, human-robot interaction, and control barrier functions. Her work addresses critical challenges in coordinating autonomous robot teams, particularly ensuring robust network connectivity during complex tasks. Capelli pioneered the use of Control Barrier Functions (CBFs) for connectivity preservation, developing both global and optimized approaches that have garnered 40 citations. She has also made significant contributions to human-robot interaction, introducing natural affect-based methods and virtual reality frameworks for evaluating interaction systems in complex scenarios (29 citations). Her research on coverage control for limited-range multi-robot systems (27 citations) and passivity-preserving control methods (21 citations) has advanced the field's theoretical foundations. Capelli's notable achievements include developing nonsmooth CBF designs for continuous constraints and exploring legibility in multi-robot systems—how robot motion can communicate intent to human users. With over 200 total citations across her most influential papers, her work has shaped modern approaches to resilient, human-aware multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1
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- 3On Coverage Control for Limited Range Multi-Robot Systems27 citations · 2022
- 4Humans interacting with multi-robot systems: a natural affect-based approach25 citations · 2019
- 5Passivity and Control Barrier Functions: Optimizing the Use of Energy21 citations · 2022
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- 8Communication Through Motion: Legibility of Multi-Robot Systems19 citations · 2019
- 9Multi-Robot Adversarial Resilience using Control Barrier Functions15 citations · 2022
- 10Understanding Multi-Robot Systems: on the Concept of Legibility14 citations · 2019