Pera Swarm

News

Our Research Works on Mixed-Reality based Swarm Simulation has now published in the IEEE Access Journal

2023-10-04

Under the title, 'Mixed-Reality based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments'
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Introduction to Pera-Swarm

2023-02-25

A session about ongoing research and innovation related to swarm robotics
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ESCaPe 2023 - Best Research Presentation Award

2023-01-23

Swarm Intelligence Programming Framework
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Poster Presentation at 1st Peradeniya University Research Excellence Showcase

2022-03-23

Mixed Reality based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments
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Publications

Mixed-Reality based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments
Dilshani Karunarathna , Nuwan Jaliyagoda , Ganindu Jayalath , Janaka Alawatugoda , Isuru Nawinne , Roshan Ragel
IEEE Access, vol. 11, 2023
doi: https://doi.org/10.1109/ACCESS.2023.3317434

[ Presentation ] [ Source Code ]

A Programming Framework for Robot Swarms
Mahendra Dassanayaka , Tharuka Bandara , Nadun Adikari , Isuru Nawinne , Roshan Ragel
2020 Moratuwa Engineering Research Conference (MERCon)
doi: https://doi.org/10.1109/MERCon50084.2020.9185206

[ Source Code ]

Projects

Simultaneous Localization and Mapping in Mixed Reality Environment

The study delves into the realm of swarm robotics, where agents collaborate to efficiently explore and map unknown environments...
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Modular Swarm Robot

Pera Swarm's Swarm Capable and Reconfigurable Agent is its first modular robot system, designed to...
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Swarm Intelligence Programming Framework

A high-level programming and compiler framework for Swarm Robotics
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Mixed Reality Environment for Swarm Robotics Simulations

An open-source Mixed-Reality Simulator and a Visualizer to simulate Swarm Intelligence behaviors
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Obstacle Bots for Swarm Robots

Obstacle bots for the existing swarm research project of the Department of Computer Engineering, University of Peradeniya. These robots can create a challenging patterns using movements in a self-created potential surface with collision-avoiding.
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