Papers

10

Total Citations

171

H-Index

8

About

Thein Than Tun is a robotics researcher whose work centers on reconfigurable and autonomous systems for real-world service applications, with a particular focus on cleaning, inspection, and environmental monitoring. His major contributions lie in the design, modeling, and energy-optimized control of robots that can adapt their shape and locomotion to achieve complete area coverage. For instance, his most-cited work (40 citations) tackles energy-aware path planning for self-reconfigurable floor cleaning robots, while his research on glass facade cleaning robots (33 and 23 citations) introduces novel nested reconfigurable mechanisms and passive suction cup drives to automate hazardous high-rise maintenance. Tun has also extended his expertise to underwater robotics, developing energy-optimal model predictive control for unmanned underwater vehicles used in offshore aquaculture net-pen inspection. His work consistently bridges mechanical design with intelligent control, addressing practical challenges like rodent monitoring in false ceilings and false-ceiling inspection. With over 170 cumulative citations across his top papers, Tun’s research demonstrates a clear trajectory from foundational reconfigurable robotics to applied autonomous systems that improve safety and efficiency in built and aquatic environments.

Research Focus

Key Achievements

8
H-Index
10
Papers
171
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Realization Energy Optimization of Complete Path Planning in Differential Drive Based Self-Reconfigurable Floor Cleaning Robot
40 citations · 2019
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Singapore University of Technology and Design, The Open University, Auckland University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago