Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems

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.

[IEEE T-RO 2023] A modularized multi-robot SLAM system with elevation mapping and a costmap converter for easy navigation. Different odometry and loop closure algorithms can be easily integrated into the system.

Distributed Pose Graph Optimization

[RA-L2022] V2X-Sim Dataset and Benchmark

Multi-Robot Coverage Planning for Cleaning Robots || AIITRA Robotics Challenge 2021

ROS wrapper for distributed pose graph optimization

The goal of this repository is to introduce a new, customizable, scalable, and fully opensource mobile robot platform, called SMARTmBOT. This repository provides a guide, and all design files and source codes so that you can build your own SMARTmBOT. SMARTmBOT can be useful for studying the basics of robotics, especially mobile robotics. It can …

SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.

[CoRL 2022] Multi Robot Scene Completion

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning

Implementation of Consensus Based Bundle Algorithm (CBBA) with python

ROS Package for Simultaneous Exploration and Localization for Multi-Robot Applications

A research toolkit for Swarm Robotics.

DGORL: Distributed Graph Optimization based Relative Localization of Multi-Robot Systems

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.

KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multirobot Systems

Rule-Based Lloyd (RBL) Multi-robot motion planning and control

The paper review repository about my interests.

CQLite: Coverage-biased Q-Learning Lite for Efficient Multi-Robot Exploration