Nasiru Aboki

Papers

Total Citations

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About

Nasiru Aboki is a robotics researcher whose work centers on human-robot interaction, autonomous navigation, and intelligent perception systems. His most-cited paper, "Automating a Telepresence Robot for Human Detection, Tracking, and Following" (2023), introduces a framework that enables telepresence robots to autonomously detect, track, and follow human subjects—a critical capability for applications in healthcare, eldercare, and collaborative environments. By integrating computer vision and real-time control algorithms, Aboki’s approach reduces the need for manual teleoperation, enhancing robot autonomy and user experience. Though early in his career, his contributions have already garnered attention, with the paper accumulating three citations and laying groundwork for future advances in socially aware robotics. Aboki’s work exemplifies how automation can bridge the gap between remote presence and physical interaction, promising safer and more intuitive robotic assistants. His research not only addresses technical challenges in perception and motion planning but also underscores the growing importance of human-centered design in robotics. As he continues to refine these systems, Aboki is poised to make lasting impacts on how robots perceive and respond to human behavior in dynamic, real-world settings.