C. P. Shirley

Papers

Total Citations

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About

C. P. Shirley’s research lies at the intersection of assistive robotics, machine learning, and human–computer interaction, with a focus on developing intelligent systems that enhance mobility and independence for individuals with visual impairments. Their most-cited work, “Machine Learning and Sensor-Based Multi-Robot System with Voice Recognition for Assisting the Visually Impaired” (2023), has already garnered 23 citations—a strong indicator of its timely impact. In this study, Shirley proposed a novel multi-robot framework that integrates sensor arrays, voice recognition, and machine learning algorithms to help visually impaired users navigate both indoor and outdoor environments. The system’s ability to process real-time environmental data and respond to spoken commands represents a significant step forward in accessible robotics. By addressing the critical challenge of safe, autonomous navigation in unfamiliar settings, Shirley’s work bridges the gap between cutting-edge AI and practical assistive technology. Their contributions not only advance the field of multi-robot coordination but also underscore a commitment to socially impactful engineering, making navigation more intuitive and secure for those who need it most.