Hugo Carlos

Papers

Total Citations

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About

Hugo Carlos is a robotics researcher whose work centers on motion planning and autonomous navigation for mobile robots, with a particular focus on maintaining landmark visibility during operation. His most-cited paper, "Motion planning for maintaining landmarks visibility with a differential drive robot" (2013, 17 citations), addresses a critical challenge in robotics: ensuring that a robot can continuously observe key environmental features while executing complex trajectories. This contribution is especially relevant for applications in mapping, localization, and surveillance, where reliable landmark tracking is essential for accurate positioning and task completion. Carlos's approach integrates geometric constraints with differential drive kinematics, offering practical solutions for real-world robotic systems. While his citation count reflects a focused and emerging impact, his work provides foundational insights for researchers developing autonomous systems that require persistent environmental awareness. His research bridges theoretical motion planning with practical sensor constraints, making it valuable for students and engineers working on robust navigation in GPS-denied or visually degraded environments. Carlos's contributions underscore the importance of visibility-aware planning in advancing the reliability of autonomous mobile robots.