Papers

4

Total Citations

22

H-Index

3

About

Jia Uddin’s research centers on robotics, automation, and the Internet of Things (IoT), with a particular focus on designing intelligent, sensor-driven robotic systems for real-world applications. His major contributions include the development of a 6-DOF robotic arm with integrated proximity and color detection using an Arduino Mega, demonstrating how low-cost microcontrollers can enable sophisticated automation. He also advanced the concept of the Internet of Robotic Things (IoRT) by implementing a 5-DOF heterogeneous robotic arm that bridges embedded sensors with network protocols, creating a seamless communication bridge between physical objects and digital systems. In the domain of localization and mapping, Uddin introduced a laser scan matching method based on FAST CVSAC, improving robot navigation in dynamic environments. His recent work on fuzzy controller design for modern robot manipulators addresses stability challenges critical to Industry 4.0 applications. With over 20 citations across his most-cited papers, Uddin’s research has practical implications for manufacturing, automation, and autonomous systems. His work is notable for combining theoretical control approaches with hands-on implementation, making robotics more accessible and functional for industrial and educational settings.

Research Focus

Key Achievements

3
H-Index
4
Papers
22
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Arm with Proximity and Color Detection
9 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: BRAC University, University of Malaya, Woosong University

Top Papers

  1. 1
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  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago