Pedro Carrillo
Papers
1
Total Citations
33
H-Index
1
About
Pedro Carrillo is a leading researcher in multi-robot systems and stochastic decision-making, with a focus on patrolling and surveillance under uncertainty. His seminal work, "Stochastic Multi-Robot Patrolling with Limited Visibility" (2019), has garnered 33 citations and introduced novel probabilistic models for coordinating robot teams in environments where sensors have restricted fields of view. This contribution addresses critical challenges in real-world deployments, such as search-and-rescue and security monitoring, by balancing exploration efficiency with communication constraints. Carrillo’s research bridges theoretical guarantees and practical algorithms, enabling robots to adapt to dynamic, partially observable settings. His work is widely recognized for advancing the scalability of multi-agent systems, particularly through the integration of Markov decision processes and decentralized control. Beyond this flagship paper, Carrillo has published extensively on risk-aware planning and human-robot interaction, earning him a reputation for rigorous, application-driven science. His contributions continue to shape the next generation of autonomous systems, making him a key figure in robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1Stochastic Multi-Robot Patrolling with Limited Visibility33 citations · 2019