robot-exploration

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning

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

(RSS 2025) Flow Matching Ergodic Coverage

Robot agnostic information theoretic exploration strategy

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

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

Quickly prototype frontier exploration algorithm for 2D SLAM applications

CNN-based Q-learning agent that explores a 20×20 grid with FOV constraints, dynamic obstacles, and three A* escape strategies: nearest cell, cluster targeting, and periodic guidance.

Autonomous 2D SLAM exploration and obstacle avoidance in unknown environments using ROS 2, LiDAR FOV filtering, and SLAM Toolbox.

Unknown Space Exploration using JADE & Repast