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.
The autonomous exploration army project consists of 1 aerial vehicle and 2 ground vehicles, utilizing ROS 2 and the Gazebo simulation environment.
Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.
Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams
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.
Multi-robot local motion planning using dynamic optimization fabrics.
Repository for multi-robot collision avoidance using the Velocity Obstacle.
This is a software which can by used by researcher multi-agent reinforcement learning in robot learning for multi-robot system
Software codes for running the Game-theoretic Utility Tree (GUT) algorithm for the multi-robot Pursuit-Evasion problem in the Robotarium's simulator-hardware multi-robot testbed.
Multi robots perform mapping or localization and navigation.
Multi robot path planning with Artificial Potential Functions
A flexible development platform for Pioneer Multi-Robot Systems (MRS) http://wiki.ros.org/pioneer_mrs
Multirobot cooperative localization using the Particles Intersection algorithm
Task Allocation Strategy to distribute goals (in a decentralised manner) in a heterogeneous fleet considering, goals makespan, goals position, robot capabilities.
Versatile, flexible and dynamic launch configurations for the Robot Operating System (ROS 1) using Python (v2 & 3)
Minimal Python implementation of TSWAP for unlabeled MAPF
Distilled version of D4orm: Multi-robot trajectory smoother
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