Papers
17
Total Citations
214
H-Index
8
About
Ubaldo Ruiz is a robotics and autonomous systems researcher whose work centers on pursuit-evasion games, nonholonomic motion planning, and differential drive robots. Over the past decade, he has made significant contributions to understanding the strategic interactions between robots with different locomotion constraints — particularly the differential drive robot (DDR), which can only change direction at a bounded rate, and omnidirectional agents capable of unrestricted movement. Ruiz's most influential contribution, "Time-Optimal Motion Strategies for Capturing an Omnidirectional Evader Using a Differential Drive Robot" (2013, 44 citations), established foundational time-optimal policies for pursuit scenarios in obstacle-free environments. His subsequent work progressively expanded the complexity of these games, incorporating convex obstacles, visibility constraints, surveillance objectives, and symmetric robot matchups. Notably, his 2022 paper on visibility-based pursuit-evasion in cluttered environments demonstrates his continued relevance as the field matures. With a cumulative citation count exceeding 185 across his most recognized works, Ruiz has built a coherent and growing research program that bridges classical game theory with practical robotics challenges. His contributions offer valuable tools for designing autonomous robots capable of intelligent, adversarial decision-making in real-world environments.
Research Focus
Key Achievements
Top Papers
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- 2Tracking an omnidirectional evader with a differential drive robot31 citations · 2011
- 3A pursuit–evasion game between two identical differential drive robots24 citations · 2020
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- 10A homicidal differential drive robot6 citations · 2012