vmas
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
gym-marl-reconnaissance
Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams
https://github.com/lesunb/jss-2022-replication-package
Replication package of the paper titled "An Architecture for Mission Coordination of Heterogeneous Robots"
multicobot-ur10-gripper
Multirobot system consisting of UR10s that allows simultaneous execution of tasks. It enables the control of different cobots with different controllers. || Sistema multirobot compuesto por UR10s que permite la ejecución simultánea de tareas. Permite el control de diferentes cobots con distintos tipos de controladores.