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pera-swarm.github.io
Publiclocalization
PublicThis repository contains the development of the localization system for the swarm robots of the project Pera Swarm. It is based on ARMarkers, OpenCV with Python. An Raspberry Pi 3 computer with camera is used as processing device.obstacle-bot-software
Publicobstacle-bot-firmware
Public- The objective of this project is to use swarm robots to efficiently map and navigate complex environments. These autonomous robots work together in a coordinated fashion, leveraging swarm intelligence to create detailed maps, contributing to advancements in autonomous exploration and mapping technology.
firmware_v5
Publicobstacle-bot-server
Publicrobot-library-java
PublicJava Library implementation for Pera Swarm Virtual Robotfirmware
Publicdocs
PublicThe repository for handling the Pera-Swarm documentationswarm-simulator
PublicThis repository contains the implementations of a mixed reality-based swarm simulatorjava-robot
Publicrobot-library-python
Publicpera-swarm
PublicA generalized, efficient, and flexible JavaScript library for creating swarm robotics simulators.mqtt-router
PublicAn easy-to-use and flexible routing library for MQTT.visualizer
Public- The aim is to design an Integrated Development Environment to build software for multi-agent systems. The IDE shall provide facilities to compose algorithms at a high-level (ideally in a visual manner), and compile them over multiple stages into binaries and program the hardware over-the-air (OTA).
- This particular project will focus on building a high-level programming and compiler framework which can be used to "write" or "draw" algorithms and convert them into low-level code. The framework will support multiple different types of robot hardware (both real and virtual).
- Obstacle bots for the existing swarm research project of the Department of Computer Engineering, University of Peradeniya. Robots are localized with an overhead camera set up in order to create very challenging patterns using movements in a self-created potential surface with collision-avoiding algorithms on optimized stochastic gradient descent a
- Obstacle bots for the existing swarm research project of the Department of Computer Engineering, University of Peradeniya. Robots are localized with an overhead camera set up in order to create very challenging patterns using movements in a self-created potential surface with collision-avoiding algorithms on optimized stochastic gradient descent a
robot-IR
Public.github
Publicsandbox
Publicvisualizer-ar
Publicsandbox-v2
Publichardware
PublicHardware design of the Pera-Swarm robotswarm-admin
Publictypes
Public