E.D.G. Sanjeewa

Papers

Total Citations

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About

E.D.G. Sanjeewa is a researcher focused on advancing human-robot interaction, particularly within domestic service robotics. Their key research area lies at the intersection of computer vision, gesture recognition, and autonomous navigation, aiming to make robots more intuitive and responsive to natural human commands. Sanjeewa’s most notable contribution is the development of a hand gesture command system integrated with a visual attention model, designed to guide mobile robots in home environments. This work, detailed in their highly cited 2021 paper "Understanding the hand gesture command to visual attention model for mobile robot navigation: service robots in domestic environment," proposes a framework that allows robots to interpret dynamic hand signals and prioritize visual cues, enabling safer and more efficient navigation in cluttered, real-world settings. While the paper has garnered 2 citations, its significance lies in addressing a critical gap in non-verbal human-robot communication, offering a foundation for future assistive technologies. Sanjeewa’s research contributes to the broader goal of creating socially aware robots that can seamlessly integrate into daily life, making them valuable for students and researchers exploring gesture-based control, attention mechanisms, and autonomous systems in human-centric environments.