Dilshani Karunarathna
Papers
1
Total Citations
7
H-Index
1
About
Dilshani Karunarathna is a rising researcher at the intersection of robotics, mixed reality, and artificial swarm intelligence. Her work focuses on developing innovative frameworks that bridge the physical and digital worlds to study collective, decentralized behaviors in multi-agent systems. Her most cited paper, "Mixed-Reality Based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments" (2023), introduces a novel platform that leverages mixed reality to design and test swarm algorithms—inspired by biological phenomena like ant or bird flocking—without the constraints of purely physical robots. This contribution offers a scalable, cost-effective approach for experimenting with swarm intelligence, enabling researchers to observe how autonomous agents coordinate tasks in real-time. With 7 citations already, her work is gaining traction in the robotics and AI communities. Karunarathna’s research not only advances the theoretical understanding of emergent behaviors but also provides practical tools for applications in search-and-rescue, environmental monitoring, and distributed sensing. Her achievements mark her as a promising voice in the next generation of swarm robotics researchers.
Research Focus
Key Achievements
Top Papers
- 1