autonomous-exploration

Fast and Communication-Efficient Multi-UAV Exploration Via Voronoi Partition on Dynamic Topological Graph

Our autonomous ground vehicle uses Frontier Based exploration to navigate and map unknown environments. Equipped with sensors, it can avoid obstacles and make real-time decisions. It has potential applications in search and rescue, agriculture, and logistics, and represents an important step forward in autonomous ground vehicle development.

Modern C++ frontier exploration package for autonomous mobile robots, with a core C++ library for custom integrations alongside ROS 2 Jazzy & Humble, Nav2 support.

[IROS2024] IR²: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity

An autonomous exploration package for ROS 2 Humble using Nav2 and SLAM Toolbox. It enables robots to explore unknown environments, build maps, and recover from localization failures, solving the kidnapped robot problem effectively.

[TIE-2026] EDEN is an Efficient Dual-layer Exploration plaNning method for UAVs.

A Python library for Robotic Information Gathering

(RSS 2025) Flow Matching Ergodic Coverage

Multi-Robot Exploration, Mapping and Navigation using ros2

SplatPlanner, Rapid, Classic three autonomous exploration planners (quadrotors / MAV) methods.

ROS 2 Jazzy frontier exploration package implementing map optimization and MRTSP-based frontier ordering from Liu et al. (2025)

Learning-based Active SLAM: Rainbow DQN agent with RTAB-Map for autonomous exploration in indoor environments.

[ECCV 2022] AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration

This project aims to use a Voronoi-partition-based exploration algorithm to enable multiple robots to autonomously navigate and explore an environment, generating a map.

Autonomous exploration on mobile robots using Topology-Grid Hybrid Map

Autonomous Exploration with Virtual Reality Visualization using ROS2, Docker, and Unity.

Autonomous frontier-based exploration and mapping framework for mobile robots in ROS2

Autonomous exploration benchmark platform with frontier planning, occupancy mapping, and a ROS2 Gazebo prototype.

ROS2 Humble port of Goal-Driven Autonomous Exploration (GDAE) for robot mapping in unknown environments. Uses Nav2 for global navigation and a PyTorch DRL model for local obstacle avoidance.

Catkin workspace used to autonomously explore environments using the GRADE framework.