Max Robotics — Global Service Robot Directory + US Certification

About

Mohammad Faisal Uddin is a rising force in applied robotics and intelligent systems, with research spanning assistive healthcare technology, low-cost robotics, and computer vision. His most cited work, an IoT-based real-time medicine reminder and dispenser for elderly patients (12 citations), addresses a critical challenge in geriatric care by designing an automated system that ensures medication adherence for seniors living alone. Uddin is also recognized for his dynamic approach to developing a low-cost 12-degree-of-freedom quadruped robot (10 citations), making legged robotics more accessible for education, security, and surveillance applications. His contributions extend to dark image enhancement using CNN-based dual attention units and selective kernel feature synthesis, improving object detection under low-light conditions. Uddin has further developed "TINY," a voice-interactive educational robot leveraging natural language processing to promote STEAM learning in children. His work on multi-robot search algorithms for disaster response and a synergistic AI-enabled hazard response robot demonstrates his commitment to practical, real-world problem-solving. With a growing citation impact and a portfolio that bridges affordability and innovation, Uddin is establishing himself as a versatile engineer advancing robotics for social good.