About

S. R. Munasinghe is a robotics and autonomous systems researcher whose work spans aerial vehicles, robotic manipulators, and mobile robot navigation. Best known for pioneering contributions to quadrotor microaerial vehicle (MAV) state estimation, Munasinghe's 2013 paper introducing a drift-free velocity estimator for quadrotor MAVs has garnered 69 citations, establishing it as a significant reference in the unmanned aerial vehicle community. His research into robot manipulator trajectory planning has been equally impactful, with multiple papers addressing the critical challenges of torque saturation, jerk reduction, and contour control in industrial robot arms — problems with direct implications for manufacturing precision and efficiency. His 5-3-5 spline trajectory planning method (2014, 26 citations) represents a notable methodological advancement for smooth, vibration-minimizing motion generation. Beyond manipulators, Munasinghe has made meaningful contributions to mobile robotics, including obstacle avoidance, Bayesian map building using ultrasonic sensors, and visual odometry for field robot localization. His work on a semi-autonomous low-cost wheelchair further demonstrates a commitment to socially impactful robotics. Collectively, his research portfolio reflects a career dedicated to making robotic systems smarter, safer, and more practically deployable across diverse real-world environments.

Research Focus

Key Achievements

9
H-Index
21
Papers
259
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Improved State Estimation in Quadrotor MAVs: A Novel Drift-Free Velocity Estimator
69 citations · 2013
📈 Most Prolific Year: 2003 (3 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: University of Moratuwa, Saga University, Korea Advanced Institute of Science and Technology, Center for Global Development

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago