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als_ros

An advanced localization system for ROS use.

autonavi

ROS-based autonomous navigation tools for mobile robots with 2D LiDAR

autonomous-and-mobile-robotics-project

Using the turtlebot3 environment we developed in ROS a robot able to sanitize chosen rooms from COVID-19.

autonomous-drone-scanning-and-mapping

DJI Tello drone autonomously scans the area, finds the exit, and navigates between the rooms in a closed area or a house.

autonomous-robot-navigation-using-deep-learning-vision-landmark-framework

Autonomous Robot Navigation using Tensorflow Incpetion V3 Image Recognition Engine and Robot Operating System (ROS)

autonomous_stretcher

A stretcher for hospitals or enclosure closed to remotely send a stretcher from point A to point B. Based on ROS and simulated on Gazebo.

awesome-lidar

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

direct_lidar_odometry

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

drl-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

dynamic-voronoi-path-planning

Path planing for mobile robotics avoiding obstacles using Dynamic Voronoi diagrams . Was builded using ROS

dynamic_map_matcher_ros

Sequential map merging for cooperative SLAM with particle filter

dynamic_robot_localization

Point cloud registration pipeline for robot localization and 3D perception

dynamic_robot_localization_tests

Tests for dynamic_robot_localization ROS package

experimentplatform

Real-world maze navigation with tracking and experimental data collection

extended-kalman-filters

Using Extended Kalman Filters to predict and measure the object location in 2D from Radar and Lidar.

far_planner

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

followbot

A gazebo simulation platform where the automated guided vehicle (AGV) follows the green tape strip laid on the floor.

global-localization-object-detection

a global localization system with object detection in semantic map

hdl_global_localization

hospital-guide-robot-mobile-robotics-project-

Programs a guide robot to guide a visitor robot to designated locations given by AprilTags using ROS, RViz, and Gazebo

human_aware_navigation

The human_aware_navigation repository includes ROS packages to enable the planning of navigation paths that take human comfort into account

indoor-positioning-and-navigation-using-reinforcement-learning

This project is used to solve the problem of indoor positioning. As gps does not work indoor, This project was tested for accuracy upto 15cm for indoor 2d positioning. The positioning this passed to a AI Model which navigates the vehicle to required position using Reinforcement Learning

intelligent-vehicle

Self-positioning， Manual moving， Navigation， Dynamic obstacle avoidance， Tracking lines， Fire-fighting

iros20_nmfnet

Code for our IROS 20 paper "Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network"

landmark_detection_deep_learning

A deep learning approach has been developed to detect trunk as static landmarks. This package provides different modules for creating data-set, training the deep naural network, and detecting the turnks. These modules has been developed using ROS and Tensorflow.

laser_lines

line detection in laser data as reference frame for ROS

laser_scan_matcher

An incremental laser scan matcher, using PLICP (point-to-line iterative closest point) scan matching algorithm.

lidar-radar-sensor-fusion-for-pedestrian-prediction-using-ekf

EKF for Radar and Lidar measurements to estimate the position and velocity an object, for example a pedestrian

lidar-ros-package

this is a package for global lidar localization in ros

line_segment_mapping

An incremental and consistent 2-D line segment-based mapping approach