Robotics and IOT based system desisgn
The Robotics and IoT-Based System Design Research Group from the Faculty of Engineering focuses on advancing intelligent, connected, and autonomous technologies that integrate robotics, embedded systems, artificial intelligence, and the Internet of Things (IoT). The group aims to develop innovative solutions for real-world challenges through interdisciplinary research in smart automation, cyber-physical systems, sensor networks, human–robot interaction, and intelligent control systems.INTEREST(S)
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VISION
This Group envisions becoming a leading center of excellence in intelligent automation, robotics, and connected system innovation that contributes to sustainable industrial and societal transformation. Guided by the principles of the United Nations Sustainable Development Goal 9: Industry, Innovation, and Infrastructure, the group aims to empower industries and communities with advanced robotic and IoT technologies that enhance productivity, efficiency, safety, and sustainability while preparing future innovators and researchers for the challenges of the Fourth Industrial Revolution.
MISSION
The mission of this Group is to conduct impactful and interdisciplinary research in robotics, embedded systems, artificial intelligence, and Internet of Things (IoT) technologies to address real-world industrial and societal challenges. The group is committed to creating knowledge, innovation, and technological solutions that positively impact society and support sustainable economic growth.
MEMBER(S)
Solar-Powered Agricultural Robot for Disease Detection and Soil Health Mapping for Cauliflower Farming
This project presented a solar-powered, semi-automated agricultural robot for cauliflower disease detection, selective spraying, and soil health monitoring. The system integrates a Raspberry Pi 5, ESP...
A Medical Vending Machine with an Intelligent Inventory Management
Limited access to essential healthcare products, especially in rural and underserved areas, often delays timely treatment. This project successfully implemented an IoT-enabled Medical Vending Machine ...