M. Ibarra Manzano

Papers

Total Citations

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About

Dr. M. Ibarra Manzano is a robotics researcher specializing in embedded vision systems and autonomous navigation for mobile robots operating in dynamic, cluttered environments. Their most cited work, "Integrated subsystem for Obstacle detection from a belt of micro-cameras" (2009, 4 citations), details the design and implementation of a compact visual system that enables real-time obstacle detection using a multi-camera belt. This contribution addresses a critical challenge in mobile robotics: safe navigation in public spaces. By integrating micro-cameras into a cohesive subsystem, Ibarra Manzano’s work advances the practical deployment of low-cost, efficient perception modules for autonomous platforms. Though their citation count is modest, the research reflects a focused effort on bridging hardware and software for robust environmental sensing. This work is particularly relevant for students and engineers developing embedded solutions for robotics, offering a foundational approach to obstacle detection that balances computational constraints with real-world performance. Ibarra Manzano’s contributions underscore the importance of tailored visual subsystems in enabling autonomous systems to navigate safely and effectively.