Papers

3

Total Citations

12

H-Index

3

About

MA Muktadir is an emerging researcher in robotics and autonomous systems, with a focus on control systems, nature-inspired robotics, and additive manufacturing. His work on model predictive control for unmanned ground vehicles (UGVs) has yielded a highly cited 2022 paper (6 citations), addressing the critical need for robust navigation in hazardous environments such as nuclear power plants and chemical industries. Muktadir has also contributed a comprehensive review of UGVs and bio-inspired robots like DIGIT and SPOT, synthesizing advances in autonomous systems for applications ranging from delivery to surgery. His recent 2024 research on robot gripper design for binder jet products tackles key challenges in additive manufacturing, including dimensional accuracy, damage minimization, and defect detection. By integrating control theory, biomimicry, and manufacturing precision, Muktadir’s work advances the reliability and versatility of autonomous systems. His growing citation record and cross-disciplinary approach mark him as a promising contributor to robotics, with potential impacts on industrial automation and hazardous environment operations.

Research Focus

Key Achievements

3
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Improved Model Predictive Control System Design and Implementation for Unmanned Ground Vehicles
6 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: North Carolina Agricultural and Technical State University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago