Autonomous exploration and mapping using a mobile robot
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Updated
Sep 6, 2020 - Python
E5E5
Autonomous exploration and mapping using a mobile robot
A frontier exploration module implementied with ROS 2, C++, and Python.
Highly efficient holistic 2D visibility solution for grid-based environments/maps (C++ and MATLAB). Extends to a planner.
ROS package for frontier exploration based on wavefront frontier detection
This workspace is a sandbox for multi-robot research.
Pointcloud-based frontier exploration using ROS, PCL and C++.
Utilize multiple robots to autonomously explore an environment and generate a single merged global map
Multi-Robot Exploration, Mapping and Navigation using ros2
multi-agent moving target pursuit in an unknown 4-connected grid world with persistent coverage planning
An attempt to implement Wave Frontier Detector (WFD) technique based frontier exploration from scratch
This project has implementations of various SLAM algorithms runnig on ROS Melodic
Quickly prototype frontier exploration algorithm for 2D SLAM applications
Multi-agent cooperative system for mapping and surveillance using e-Puck robots in Webots. Leverages robotics, computer vision, and machine learning for real-time coordination and environment mapping. Enhances mapping accuracy, exploration efficiency, and surveillance coverage compared to single-agent systems. Video Simulation on the link
ROS2-based navigation framework for autonomous mobile robots integrating path planning, localization, and exploration on the Robile platform.
SLAM tasks on the TurtleBot3 burger.
Frontier Exploration Utils for ROS 2
A ROS2 package for building indoor maps in real-time using visual SLAM
Set of ROS2 nodes developed to explore, map and detect obstacles in an enviromment.
An advanced autonomous navigation system designed for exploring unknown environments.
Codebase of the MSc thesis by Amr Abdellatif "Unveiling Deep Learning Systems Behaviors through Latent Space Exploration"
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