Angel Juan Sanchez Garcia

Papers

Total Citations

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About

Angel Juan Sanchez Garcia is a pioneering researcher in robotics and autonomous navigation, with a primary focus on vision-based obstacle detection and motion planning. His most influential work, "Estimation of time-to-contact from Tau-margin and statistical analysis of behavior" (2016, 9 citations), introduces a novel monocular vision technique for mobile robots to assess obstacle proximity by computing the Tau-margin—the ratio of change in an obstacle’s apparent size. This contribution enables robots to estimate Time-To-Contact (TTC) without complex depth sensors, advancing safe navigation in dynamic environments. Garcia’s earlier research, "Automatic Robot Path Planning for a GRC Spraying Cell" (1994, 2 citations), demonstrates his long-standing commitment to industrial automation, designing efficient path-planning algorithms for robotic spraying cells. Though his citation counts are modest, his work on TTC estimation offers a computationally efficient solution for real-time robot control, bridging biological inspiration (inspired by animal vision) and practical engineering. Garcia’s contributions are particularly valuable for students and researchers in mobile robotics, computer vision, and human-robot interaction, providing foundational insights into how robots can perceive and react to their surroundings with minimal sensory input.