Papers
14
Total Citations
377
H-Index
9
About
Luis Guerrero-Bonilla is a leading researcher in resilient multi-robot systems, focusing on the critical challenge of ensuring cooperative robot teams can function safely even when individual robots are compromised or malicious. His foundational work on "Formations for Resilient Robot Teams" (93 citations) pioneered the use of r-robust communication networks to guarantee consensus among robots despite faulty agents, directly addressing a key vulnerability in swarm robotics. He further advanced this field by developing design frameworks for resilient formations on triangular and square lattices (35 citations) and by using Control Barrier Functions to ensure robots can achieve these robust configurations in real-time (14 citations). Beyond resilience, Guerrero-Bonilla has made significant contributions to aerial robotics, co-developing the "Flying Monkey" robot (76 citations)—a mesoscale platform capable of running, flying, and grasping—and to time-sensitive coverage control (25 citations) and perimeter surveillance (11 citations). His work elegantly bridges theoretical guarantees with practical control design, providing engineers with provably safe algorithms for deploying robot teams in high-stakes environments like search-and-rescue, infrastructure monitoring, and defense.
Research Focus
Key Achievements
Top Papers
- 1Formations for Resilient Robot Teams93 citations · 2017
- 2The flying monkey: A mesoscale robot that can run, fly, and grasp76 citations · 2016
- 3Robust Aerial Robot Swarms Without Collision Avoidance73 citations · 2017
- 4Design Guarantees for Resilient Robot Formations on Lattices35 citations · 2018
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- 7Resilient Backbones in Hexagonal Robot Formations11 citations · 2019
- 8Perimeter Surveillance Based on Set-Invariance11 citations · 2020
- 9Dense r-robust formations on lattices11 citations · 2020
- 10Robust Perimeter Defense using Control Barrier Functions8 citations · 2021