Alok Sharma

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About

Alok Sharma is a researcher whose work sits at the dynamic intersection of robotics, intelligent systems, and healthcare technology. His most significant contributions center on the development of autonomous robotic platforms designed to enhance hospital environments and patient care. Sharma's pioneering work on the iWARD (Intelligent Robot Swarm for Attendance, Recognition, Cleaning and Delivery) project produced a sophisticated remote patient physical condition monitoring module, a system that demonstrates his ability to translate complex robotics research into practical clinical applications. This work, published in 2014 and further refined in 2016, has garnered a combined 27 citations, reflecting its relevance to the growing field of medical robotics. Beyond healthcare, Sharma has made notable strides in autonomous navigation, developing a fuzzy logic-based algorithm that enables mobile robots to track straight and curved paths by emulating human driving behavior — work that has attracted 15 citations and speaks to his broader expertise in intelligent control systems. Implemented in C/C++ and built upon the Orca robotics framework, his systems reflect both technical rigor and real-world applicability, making his research particularly valuable for students exploring the convergence of artificial intelligence, robotics, and human-centered design.