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It includes a series of sensors, including infrared, to detect cliff, bumps, and slope as well as a 26Wh Li-ion battery to power additional sensors and accessories. In addition, all data from the embedded sensors are available as ROS subjects via the network-connected ROS 2 API. Finally, the mobile base offers a payload capacity of 9 kg and is capable of driving continuously at speeds of up to 0.306 m/s when the safety system is activated and up to 0.46 m/s in priority mode.
The mobile base is fully integrated with a Raspberry Pi 4 computer running Ubuntu 20.04, ROS2 and embedded sensor drivers, a front stereo camera, and 2D LiDAR. Additional sensors and accessories can be easily integrated into the system using an accessible powered USB hub and the top mounting plate. A programmable LCD screen allows users to display information from any ROS subject. The IP address of the platform is also displayed, which allows users to quickly connect to the robot.
TurtleBot 4 will come fully assembled with ROS 2 pre-installed and configured, along with detailed user documentation, a Gazebo Ignition simulation model, demo code, and a series of tutorials, allowing users to get started with testing and SLAM right away.
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TurtleBot 4 Standard | TurtleBot 4 Lite | |
Dimensions | 341 x 339 x 351 mm | 341 x 339 x 192 mm |
Weight | 3,9 kg | 3,3 kg |
Max. Speed | 0,31 m/s | 0,31 m/s |
Max. Payload | 9 kg - Default 15 kg - Custom Configuration |
9 kg - Default 15 kg - Custom Configuration |
Operating Time | 2.5 - 4.0 hrs (load dependent) | 2.5 - 4.0 hrs (load dependent) |
Camera | OAK-D-PRO | OAK-D-LITE |
LiDAR | RPLIDAR-A1 | RPLIDAR-A1 |
Accessible Power & USB Ports | Yes | No |
OLED display | Yes | No |
Mounting Plate | Yes | No |
Software | ROS 2 | ROS 2 |
Computer | Raspberry Pi 4 B (4 Gb) | Raspberry Pi 4 B (4 Gb) |