Daniel Martinez-Vazquez

Papers

Total Citations

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About

Daniel Martinez-Vazquez is a researcher at the intersection of robotics, distributed systems, and cybersecurity, with a focus on the Internet of Robotic Things (IoRT). His work addresses critical challenges in multi-robot coordination and secure cloud-based robotic operations. In his most-cited paper, "Sensor Information Sharing Using a Producer-Consumer Algorithm on Small Vehicles" (2021, 10 citations), Martinez-Vazquez developed a novel algorithm for efficient data sharing among resource-constrained robots, offering a lightweight alternative to heavier frameworks like ROS and Kafka. This contribution is particularly valuable for optimizing communication in small, embedded robotic systems. He further explores the security implications of connected robotics in "Cybersecurity on Internet of Robotics Things: Experimental Platform" (2021, 2 citations), where he analyzes vulnerabilities in cloud-controlled multi-robot systems. Additionally, his work "Performance Comparisons of Bio-micro Genetic Algorithms on Robot Locomotion" (2020, 2 citations) introduces a novel micro-segmented genetic algorithm (μsGA) for optimizing quadruped robot gait, demonstrating superior performance against standard genetic algorithms. Martinez-Vazquez’s research is essential for advancing secure, efficient, and intelligent robotic systems in an increasingly connected world.