Papers

3

Total Citations

34

H-Index

2

About

Dr. Chiemela Onunka is a researcher whose work bridges robotics, manufacturing optimization, and applied mathematics. His most influential contribution, "Autonomous marine craft navigation: On the study of radar obstacle detection" (2010, 26 citations), addresses a critical challenge in marine robotics—developing robust algorithms for radar-based obstacle detection to enable safer autonomous navigation. This foundational work has informed subsequent studies in autonomous maritime systems. Dr. Onunka also applies queueing theory to industrial settings, as demonstrated in "Performance optimisation on waiting time using queueing theory in an advanced manufacturing environment" (2020, 6 citations), where he models and reduces system delays to improve efficiency. His research extends to robotics manufacturing, with "Mathematical Modelling and Simulation of Throughput in a Robotics Manufacturing System" (2020, 2 citations) exploring how robots in pick-and-place tasks can be optimized for maximum throughput. By integrating mathematical modeling with real-world manufacturing challenges, Dr. Onunka’s work offers practical solutions for enhancing productivity and automation. His contributions are valuable for students and researchers interested in autonomous systems, industrial engineering, and the mathematical optimization of complex processes.

Research Focus

Key Achievements

2
H-Index
3
Papers
34
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous marine craft navigation: On the study of radar obstacle detection
26 citations · 2010
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of KwaZulu-Natal, Mangosuthu University of Technology, ORCID

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago