Papers

8

Total Citations

90

H-Index

5

About

Dr. Lanka Udawatta is a distinguished roboticist whose pioneering work has fundamentally advanced the control of underactuated robotic systems—mechanisms with fewer actuators than degrees of freedom. His most influential contributions center on developing intelligent switching control strategies, particularly the Switching Computed Torque Method (SCTM), which uses partly stable controllers orchestrated by genetic algorithms and fuzzy logic to achieve stable, precise motion. This body of work, including his highly cited 2003 paper on GA-based switching control (22 citations), has provided foundational solutions for controlling complex, lightweight manipulators. Dr. Udawatta has also made notable contributions to soft robotics, developing innovative control algorithms for pneumatic artificial muscles in bicep configurations, and to mobile robotics, where he introduced a low-cost optical sensor for enhanced position sensing. His research extends to intelligent navigation, with work on fuzzy Kalman filtering for the simultaneous localization and mapping (SLAM) problem. With a career spanning over two decades, Dr. Udawatta’s work remains essential reading for researchers tackling the challenges of underactuated system control, bio-inspired actuation, and autonomous robot navigation.

Research Focus

Key Achievements

5
H-Index
8
Papers
90
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Control of underactuated robot manipulators using switching computed torque method: GA based approach
22 citations · 2003
📈 Most Prolific Year: 2003 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Saga University, University of Moratuwa, Engineering Systems (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago