Hector M. Becerrra

Papers

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About

Hector M. Becerrra is a robotics researcher specializing in time-optimal navigation and control systems for autonomous mobile robots. His work focuses on developing efficient, feedback-based strategies that enable differential drive robots to navigate toward a single landmark with minimal time, a critical challenge in real-time robotics applications. His most-cited paper, "Single landmark feedback-based time optimal navigation for a differential drive robot" (2021), introduces a novel control law that leverages a single visual or sensor-based landmark to achieve rapid, precise path planning without the need for complex environmental maps. This contribution has garnered 4 citations, reflecting its niche but growing influence in the field of minimalist robot navigation. Becerrra’s research bridges theoretical optimal control and practical implementation, offering scalable solutions for resource-constrained robots in search-and-rescue, warehouse logistics, or exploration tasks. His work stands out for its mathematical rigor and direct applicability, making it a valuable reference for students and engineers seeking to optimize motion planning under limited sensing conditions.