Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
Multi-robot control simulation environmrnt build on top on Mobile Robotics Simulation Toolbox, implemented 1)some algorithm for formation control 2)mapping, localization and SLAM based on Kalman filter..
time-varying formation control of UAVs
🛸 An implementation of multi-agent flocking formation control with specific formations that can follow a target without collision and can avoid obstacles.
An Adaptive Formation Control of Multiple UAVs dealing with External disturbances
This repository contains the Matlab source codes (to use in Robotarium platform) of various rendezvous controllers for consensus control in a multi-agent / multi-robot system.
ROS package for formation and rendezvous of multi-drone (T-Cyber 2020)
Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular formation.
Fault-tolerant formation control using energy tanks
Formation control for a multi-agent system in a bidimensional space. Various types of formations available. Implementation in ROS2 Foxy.
Python and MATLAB implementations of Flocking Algorithms and Formation Control
This repository includes a number of consensus- based control examples (Leader/Follower-Formation Control) developed using Robotarium on Matlab
Self-reconfiguration strategy for UAVs Formation
[IEEE ICUAS 2022] Python scripts for swarming, formation control, and observer-based adversary detection for multi-UAVs (Tello Drones)
Simulink implementation of "A Decentralized Cooperative Control Scheme With Obstacle Avoidance for a Team of Mobile Robots". This project has been done at the request of Zobdeh Modiran Rahneshan Soraya Company in the 2nd Rahneshan Competition.
Communication-aware Formation Control for Dynamical Multi-agent System
Based on SMC(sliding mode control), DR-TVFC decouples the consensus task and the formation task to achieve distributed formation tracking control for MASs.
Leader-Follower based model predict formation control, with adaptive control to overcome slippage problem in each robots
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