D. Navarro

Papers

Total Citations

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About

D. Navarro is a researcher focused on the intersection of robotics, control systems, and electro-mechanical modeling, with a particular emphasis on walking robots and sensor-driven autonomy. Their most cited work, "Walking robot movement on non-smooth surface controlled by pressure sensor" (2018, 8 citations), introduces a simulation tool that models robot motion over uneven terrain by integrating pressure sensor feedback and foot-ground contact dynamics. This contribution addresses a critical challenge in legged locomotion—adapting to unpredictable surfaces—and lays groundwork for more resilient robotic systems. Navarro further advances this line of research in "Machine learning algorithm for autonomous control of walking robot" (2018, 5 citations), where they develop a supervised learning algorithm using neural networks trained on hardware sensor data, enabling robots to autonomously adjust their gait. Additionally, their work "Compact modeling approach for electro-mechanical system simulation" (2017, 2 citations) demonstrates expertise in multi-domain system modeling, creating compact physical models for pressure sensors, actuators, and servo-motors to simulate overall system performance. While Navarro’s citation counts are modest, their research is foundational for engineers developing adaptive, sensor-rich walking robots and efficient electro-mechanical simulations.