S. A. Nanayakkara
Papers
1
Total Citations
8
H-Index
1
About
Dr. S. A. Nanayakkara is a robotics researcher specializing in industrial automation, path planning, and optimization algorithms. Their primary contributions lie in enhancing the efficiency of delta robots—high-speed manipulators widely used in manufacturing for material handling and sorting tasks. In their most cited work, "Genetic Algorithm Based Pick and Place Sequence Optimization for a Color and Size Sorting Delta Robot" (2020, 8 citations), Dr. Nanayakkara developed a novel methodology to optimize the pick-and-place sequence for a delta robot performing a color- and size-based sorting task. By applying a genetic algorithm, they identified the optimal path in the task space, significantly improving cycle time and operational efficiency in an industry-emulated scenario. To implement this, they created an OpenCV-Python program for real-time object detection and sorting. This work bridges the gap between theoretical optimization and practical industrial robotics, demonstrating how evolutionary algorithms can be applied to reduce energy consumption and increase throughput in automated systems. Dr. Nanayakkara’s research continues to influence the development of smarter, more adaptive robotic systems for manufacturing and logistics.
Research Focus
Key Achievements
Top Papers
- 1