A simplified library for decentralized, privacy preserving machine learning
MIT ACL distributed formation flying using multirotors
Codes for the paper "Distributed Cooperative Control of Redundant Mobile Manipulators With Safety Constraints". IEEE Transactions on Cybernetics 2021 | Journal article. DOI: 10.1109/tcyb.2021.3104044
DR-TVFC is a control framework based on sliding mode control that decouples the consensus task and the formation task to achieve distributed formation tracking control for multi-agent control systems (MAS).
Simulate swarms of mobile agents in 2D and 3D.
Simulación de algoritmo de control distribuido para flotas de vehículos con restricciones energéticas. Réplica del método distribuido GRID target Assignment y su extensión a asignación de tareas no monotónicas: Smith, Stephen Leslie. Task allocation and vehicle routing in dynamic environments. University of California, Santa Barbara, 2009.
Python and MATLAB codes for Density-Driven Optimal Control (D2OC) using Optimal Transport and Wasserstein distance, enabling decentralized multi-agent / multi-robot non-uniform area coverage.
Distributed Circuit Breaker pattern for Go
EE6223 Computer Control Networks
This code replicates the numerical simulations reported in the research paper entitled "Optimal time-invariant distributed formation tracking for second-order multi-agent systems"
A (very subjective) curated list of Safe Multi-agent Reinforcement Learning resources
Unified Autonomy Stack via Gaussian Belief Propagation is a distributed inference framework that unifies planning, control, and estimation for multi-robot systems by casting everything as GBP on a factor graph. It produces collision-aware trajectories and control in real time.
PyDeco - Experiments in Decentralized and Distributed Control Algorithms
Energy-aware multi-robot coverage
Minimal/canonical 1D vehicle platooning example illustrating asymmetry-induced stability under the VNAE framework.
Three tanks system Decentralized,Distributed and Centralized control in MATLAB with yalmip, using LMI for controller design.
NetLogo model designed to analyze the nBEPA1 (noisy Best Experienced Payoff, test All, 1 trial) protocol in Single Optimum Coordination Games, played in networks
Code useful to analyze the nBEPA1 revision protocol. This protocol is a noisy version of the Best Experienced Payoff protocol, where agents test all their strategies and they try each of them only once
Design blueprints of aktos message passing library for distributed controller systems
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