Nuwan Jaliyagoda

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About

Nuwan Jaliyagoda is a researcher at the forefront of swarm robotics and multi-agent systems, with a particular focus on integrating mixed reality for experimental control. His most cited work, "Mixed-Reality Based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments" (2023, 7 citations), introduces a novel framework that leverages mixed reality to design and observe decentralized, autonomous swarm behaviors—drawing inspiration from biological collectives like ant or bird colonies. This contribution provides a scalable, cost-effective platform for testing swarm algorithms in hybrid physical-virtual environments. Jaliyagoda also explores practical robotic autonomy in "Simultaneous Localization and Mapping with Cost Effective Sensors" (2025, 1 citation), where he addresses the challenge of enabling swarm robots to perform exploratory tasks—such as aggregation and collective movement—using affordable hardware. His work bridges theoretical swarm intelligence with real-world deployment, emphasizing decentralization and distributed coordination. By combining mixed reality with low-cost sensing, Jaliyagoda is paving the way for accessible, reproducible swarm robotics research, making significant strides in how multi-agent systems can be studied and applied in dynamic environments.