Overview

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About

RSF is a sensor that achieves high-precision self-localization by integrating LiDAR, IMU, and GNSS. It provides the essential data required for autonomous navigation of robots moving in both indoor and outdoor environments.

Features

This product consists of 3D-LiDAR, IMU, and GNSS. By combining these three sensors, it functions as a high-precision self-localization unit. The sensor performs internal computations to output positioning results directly, allowing for the implementation of a mobile robot localization system in a single, integrated package.

Usecases

Mount this sensor on the front of your robot and connect it to the robot's control PC. The sensor requires an Ethernet connection for communication and a 12V/5A power supply (which should be distributed from the robot's battery or provided separately).

Since the sensor outputs self-localization data and point clouds, the control PC can handle tasks such as path planning for autonomous navigation. We have released hokuyo_navigation2, a ROS 2 autonomous navigation package for the RSF sensor, as open-source software. By using this, you can quickly implement the system up to the point of outputting velocity command topics (cmd_vel).

As a result, users can start testing autonomous navigation almost immediately, simply by setting up the drivetrain to control the motors based on the received ROS velocity command topics.