Juan Pablo Mendoza

Carnegie Mellon University, Wesleyan University

Papers

14

Total Citations

198

H-Index

8

About

Juan Pablo Mendoza is a robotics researcher whose work spans multi-robot coordination, autonomous robot soccer, fault detection, and cyber-physical systems verification. He is perhaps best known for his contributions to the CMDragons robot soccer team at Carnegie Mellon University, which competed in the RoboCup Small Size League. His coordination algorithms proved decisive in CMDragons' championship-winning 2015 campaign — an unprecedented performance in which the team won all six games, scored 48 goals, and conceded none — earning him 25 citations for that work alone. His earlier opponent-driven planning framework, which guided CMDragons to a runner-up finish in 2013, has accumulated 35 citations and remains a foundational reference in adversarial multi-robot strategy. Beyond competitive robotics, Mendoza has made significant contributions to robot reliability, developing statistical fault detection methods and anomaly-detection algorithms that help autonomous systems recognize when their own models break down in the real world. His 2017 work on High-Assurance SPIRAL, offering end-to-end correctness guarantees for robot and vehicle control in cyber-physical systems, reflects his broader commitment to safe autonomy. With over 160 cumulative citations, his research bridges theoretical rigor and real-world robotic performance.

Research Focus

Key Achievements

8
H-Index
14
Papers
198
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Opponent-driven planning and execution for pass, attack, and defense in a multi-robot soccer team
35 citations · 2014
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Carnegie Mellon University, Wesleyan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago