Zi Han Low

Papers

Total Citations

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About

Zi Han Low is a researcher whose work sits at the intersection of robotics and the Internet of Things, with a particular focus on enhancing human-machine interaction through intelligent automation. His most-cited paper, "Robotic Arm Control using Internet of Things (IoT)" (2019), has garnered 5 citations and addresses a critical challenge in modern manufacturing: overcoming human inefficiency in repetitive tasks. In this work, Low explores how IoT-enabled robotic arms can function as reprogrammable, multifunctional manipulators, capable of performing precise pick-and-place operations in industrial assembly lines. By integrating wireless control and real-time data feedback, his research demonstrates how these systems can reduce labor costs, improve accuracy, and increase throughput in manufacturing environments. Low's contributions are particularly notable for bridging the gap between traditional robotics and smart factory concepts, offering a practical pathway for industries to adopt automation without requiring complete infrastructure overhauls. His work serves as a foundational reference for engineers and researchers looking to implement cost-effective, IoT-driven robotic solutions in production settings, highlighting the transformative potential of connected automation in the Fourth Industrial Revolution.