ROS tutorial by Purdue SMART lab: Gazebo simulation - autonomous mobile robot navigation and creating custom robots and sensor plugins
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Updated
Mar 15, 2018 - CMake
ROS tutorial by Purdue SMART lab: Gazebo simulation - autonomous mobile robot navigation and creating custom robots and sensor plugins
An autonomous robot that navigates and avoids obstacles in real time using LiDAR and depth sensors. SLAM generates maps, while NAV2 handles path planning. Simulations are performed in Gazebo with RViz for visualization.
Simulation of a differential drive robot which can perform autonomous navigation.
System Integration (project 9 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Gazebo simulation of a 4 wheeled skid steer bot that can perform simple autonomous traversal as well as traversal with obstacle avoidance using a GPS, an IMU, ultrasonics and a Kinect.
Implementation of adaptive monte carlo localization & autonomous navigation on a two wheeled robot in simulation
turtlebot3 SLAM and navigation packages under a namespace, for multi-robot simulations
The objective of this project is to implement a navigation system based on ROS for the control of a terrestrial robot that performs autonomous localization and navigation tasks.
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