Papers
15
Total Citations
174
H-Index
8
About
Leonardo Guevara is a robotics and autonomous systems researcher whose work spans mobile robot control, agricultural robotics, and human-robot interaction. His research addresses some of the most pressing challenges in intelligent robotics, particularly the deployment of autonomous systems in complex, real-world environments. Guevara has made significant contributions to motion control for mobile robots, with his comparative study of Sliding Mode Control approaches for non-holonomic robots earning 29 citations since 2024. His agricultural robotics work is equally impactful — developing fleet coordination strategies for harvesting operations, human-aware navigation modules, and integrated route-planning algorithms for skid-steer robots navigating challenging terrain, collectively accumulating over 60 citations. This body of work addresses the critical gap between large-scale farm automation and the nuanced demands of grove-based harvesting in regions like Chile and Peru. Beyond agricultural applications, Guevara has explored social robot navigation through non-verbal human-robot communication, fuzzy-logic-based driver assistance systems, and gesture-based interaction using YOLO algorithms, demonstrating a broad interdisciplinary vision. His 2025 work on resilient trajectory replanning further reflects his commitment to robust, real-world autonomous navigation. With over 150 cumulative citations, Guevara is an emerging voice shaping the future of human-centered autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 3Social robot navigation based on HRI non-verbal communication23 citations · 2019
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