Python implementation of a bunch of multi-robot path-planning algorithms.
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Updated
Apr 5, 2023 - Python
Python implementation of a bunch of multi-robot path-planning algorithms.
A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.
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.
This project shows the area division process in Multi-Agent exploration using Cyclic Gradient Descent and also how Cooperative Perceptional Messages are used in V2V communication to share information among agents in about the environment.
Multirobot cooperative localization using the Particles Intersection algorithm
Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.
The autonomous exploration army project consists of 1 aerial vehicle and 2 ground vehicles, utilizing ROS 2 and the Gazebo simulation environment.
This is a software which can by used by researcher multi-agent reinforcement learning in robot learning for multi-robot system
A flexible development platform for Pioneer Multi-Robot Systems (MRS) http://wiki.ros.org/pioneer_mrs
Framework that allows the design, execution and analysis of generalized stochastic Petri nets (GSPN). It allows capturing multi-robot problems as a GSPN and simulate the model.
Cooperative localization algorithm, applied in ROS. Using the particles intersection algorithm to fuse the particles each MCL produces.
Versatile, flexible and dynamic launch configurations for the Robot Operating System (ROS 1) using Python (v2 & 3)
Multi-robot local motion planning using dynamic optimization fabrics.
Task Allocation Strategy to distribute goals (in a decentralised manner) in a heterogeneous fleet considering, goals makespan, goals position, robot capabilities.
Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams
Multi robot path planning with Artificial Potential Functions
Algorithms based on time efficiency for Negotiation for Autonomous Driving
In this work title, I will show you how to set up a ROS-based multi-robot system and make it ready for use.
Distributed Control of Robotic Networks
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