Papers

3

Total Citations

58

H-Index

3

About

Jayasekara Kapukotuwa is a rising researcher at the forefront of digital twin technology and intelligent robotic simulation. His work centers on bridging the gap between virtual environments and physical systems for Industry 4.0 applications, with a particular focus on creating robust digital and communication layers for smart manufacturing. Kapukotuwa’s most influential contribution is his pioneering comparison of digital twin development in Unity versus Gazebo, a study that has garnered 21 citations and established a benchmark for simulation platform selection. His landmark paper on integrating Unity and ROS as a digital twin framework for robotic arms has already accumulated 29 citations, demonstrating its immediate impact on the field. Additionally, Kapukotuwa developed MultiROS, a novel simulation environment designed for concurrent deep reinforcement learning, enabling more efficient training of autonomous robotic systems. This work, cited 8 times, addresses a critical bottleneck in scaling DRL for complex robotics tasks. Through these contributions, Kapukotuwa is shaping how researchers and engineers build, test, and deploy digital twins, making him a key voice in the evolution of smart manufacturing and autonomous robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
58
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Unity and ROS as a Digital and Communication Layer for Digital Twin Application: Case Study of Robotic Arm in a Smart Manufacturing Cell
29 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Athlone Institute of Technology, Technological University of the Shannon: Midlands Midwest

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago