Aerostack2 is a ROS 2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.
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Updated
Jan 16, 2025 - C++
Aerostack2 is a ROS 2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.
The goal of this repository is to introduce a new, customizable, scalable, and fully opensource mobile robot platform, called SMARTmBOT. This repository provides a guide, and all design files and source codes so that you can build your own SMARTmBOT. SMARTmBOT can be useful for studying the basics of robotics, especially mobile robotics. It can …
Recursive task allocation approach to foraging in swarm robotics. ARGoS and ROS.
The aim of this ROS2 package is to facilitate the implementation of a drone swarm controller through simulation on Gazebo.
Implementation of the SWEVO paper: "Decentralised Aerial Swarm for Adaptive and Energy Efficient Transport of Unknown Loads".
Code for the ANTS 2018 paper: Blockchain technology for robot swarms: A shared knowledge and reputation management system for collective estimation.
The ftSwarm Project connects multiple controllers in DIY roboticy projects.
A playground to experiment with navigation algorithms
A ROS-based swarm robot implementation for object rescue.
ARDebug: an augmented reality tool for analysing and debugging the behaviour of swarm robotic systems
Arduino Project files of our Swarm Robotics Project.https://sites.google.com/site/swarmrobotproject/
Obstacle Avoidance using Swarm Robotics
Multi target tracking with Multi-robot distributed control using behavioral control
Machine Learning and Guidance of Swarm in Dynamic and Partially Observable Environments
Implements distributed control for a swarm of robots that have a goal of surrounding a static target. The algorithm used is based on a local communication strategy. The robots are simulated in a 2D simulator called Player. Robot model files for the simulator are included.
Swarm Robotics
Swarm LEDs
ROS workspace repository for fixed-map exploration via a robotic swarm
Work on NEST Lab's collective perception project.
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