Asswad Sarker Noman

Bangladesh University of Engineering and Technology

Papers

Total Citations

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About

Asswad Sarker Noman is a researcher at the forefront of accessible robotics and intelligent automation, with a primary focus on developing cost-efficient, human-centric assistive technologies. His most cited work, "Creation of a Cost-Efficient and Effective Personal Assistant Robot using Arduino & Machine Learning Algorithm" (2020, 9 citations), introduces the "Metacarpus" robot—a groundbreaking personal assistant designed to be controlled by voice commands and capable of recognizing user instructions. This project exemplifies Noman’s commitment to democratizing robotics by integrating machine learning with low-cost hardware like Arduino, making advanced assistance systems viable for everyday use. By prioritizing affordability and practicality, his contributions address critical gaps in assistive technology, potentially benefiting elderly individuals, people with disabilities, and those seeking smart home integration. Noman’s work stands out for its innovative fusion of machine learning algorithms with embedded systems, demonstrating how intelligent, voice-controlled robots can be built without prohibitive costs. His research not only showcases technical ingenuity but also underscores a vision for inclusive, widely accessible automation that bridges the gap between cutting-edge AI and real-world, budget-friendly applications.