Papers
1
Total Citations
5
H-Index
1
About
Carlos Cruz is a researcher in autonomous robotics and interval analysis, with a focus on low-cost robotic systems and their real-world deployment. His most notable work, "Estimating the Trajectory of Low-Cost Autonomous Robots Using Interval Analysis: Application to the euRathlon Competition" (2017), demonstrates his expertise in applying rigorous mathematical methods to solve practical challenges in robot localization and navigation. By leveraging interval analysis, Cruz developed robust trajectory estimation techniques that account for sensor uncertainties, enabling affordable robots to perform reliably in complex, unstructured environments—a critical step toward democratizing autonomous technology. His contributions were validated through application to the euRathlon competition, a benchmark for outdoor robotics, underscoring the real-world relevance of his research. While his citation count (5) reflects a focused, emerging impact, his work bridges theoretical rigor and hands-on engineering, offering a blueprint for cost-effective autonomy in search-and-rescue, environmental monitoring, and education. Cruz’s approach highlights the power of combining formal methods with practical constraints, making him a promising voice in accessible robotics.
Research Focus
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Top Papers
- 1