Gobinath Arumugam
Papers
3
Total Citations
8
H-Index
2
About
Gobinath Arumugam is an emerging researcher whose work sits at the dynamic intersection of industrial robotics, the Internet of Things (IoT), and smart manufacturing systems. His research focuses on how intelligent, interconnected technologies are reshaping modern industrial environments, with particular emphasis on automation, machine vision, and networked production systems. His most-cited work, "Integrating Industrial Robotics and Internet of Things (IoT) in Smart Transportation System" (2025), has already garnered 5 citations, signaling early and growing recognition within the field. Alongside this, his contributions exploring IoT-integrated robotics in manufacturing and the role of machine vision in industrial processes demonstrate a consistent commitment to advancing intelligent automation frameworks. Through these works, Arumugam examines how the fusion of robotics and IoT can unlock new levels of efficiency, productivity, and connectivity across industrial sectors. While still in the early stages of his academic career, his publication trajectory reflects a focused and forward-thinking research agenda. Students and practitioners working in smart manufacturing, Industry 4.0, or autonomous systems will find his work a valuable entry point into these rapidly evolving technological landscapes.
Research Focus
Key Achievements
Top Papers
- 1
- 2Internet of Things-Integrated Robotics in Manufacturing2 citations · 2024
- 3Machine Vision and Industrial Robotics in Manufacturing1 citations · 2024