Tracked, mapping robot developed in the ROS environment
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Updated
Apr 27, 2023 - CMake
Tracked, mapping robot developed in the ROS environment
Robotic project where mBot needs to find its way through a maze filled with series of obstacles in the shortest time
The project involves the design and simulation of a mobile robot that is capable of navigating through a complex simulated environment space and manipulating an object after reaching to the target place
This cutting-edge project employs autonomous driving technology to optimize warehouse operations. The AMR excels in navigating complex environments, avoiding obstacles, and improving efficiency using advanced SLAM and robust navigation.
Designed a mobile robot controlled using Raspberry Pi. Used hector mapping and AMCL to map the environment and localize the robot. Dijkstra Algorithm was used to autonomously navigate the robot.
ROS hector slam demos for 3d sensor, lidar and etc.
Localization using aruco markers on the map built by hector_slam with aruco markers inserter in it.
A mobile robot for autonomous exploration and obstacle avoidance in urban search and rescue environments using the Hector software stack.
ISTANBUL TECHNICAL UNIVERSITY ROBOTICS LAB MECANUM WHEELED OMNIDIRECTIONAL VEHICLE
My quickstart guide to Hector Slam Mapping with RPLidar on a mobile robot base. No need for an odometry source for this.
YDPIbot is an open platform differential drive mobile robot that performs autonomous navigation and mapping tasks. YDPIbot is an affordable and easy-to-assemble robot that is designed to be an educational tool for students to learn about robotics and autonomous systems.
A Project on exploring autonomously and mapping an unknown environment using Turtlebot.
Summary - Comparative Study and Implementation of SLAM in ROS, Gazebo, CARLA and Prototype
Hexapod Robot Control
Autonomous Navigation Project using ROS
2. Mapping with Hector SLAM, GMapping and RTAB-Map
The first iteration of the Autonomous Software Stack (ASS) for the AMP go-kart.
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