Product details

Package weight5.2 kg

Package dimensions45 x 35 x 25 cm

CategoriesAccessory, Interests, Public institutions, Education, Educational kits

Yahboom

ROSMASTER R2L: Kit with Ultimate-Orin NX Subkit

On order

Price

16.467,64 RON

Description

ROSMASTER R2L: Kit with Ultimate-Orin NX Subkit

It is a robot with Ackerman directional geometry, designed for autonomous driving. It comes with a Subkit Ultimate-Orin NX board and a 2MP high definition camera. Developed on the basis of ROS and Ubuntu operating systems, it can combine object recognition algorithms, tag tracking, autopilot, and other functions to obtain the desired model. Find below all the materials you need to start exploring autonomous driving and the ROS operating system.

ROSMASTER R2L Features: Kit with Ultimate-Orin NX 8GB Subkit:

Ackerman directional geometry: Ensures stability and precision in autonomous driving.
Subkit Ultimate-Orin NX Board: Provides advanced processing power for complex algorithms.
2MP High Definition Camera: Enables detailed capture of the surrounding environment for object recognition and tracking.
ROS and Ubuntu compatibility: Facilitates integration with a wide range of robotics-specific applications and algorithms.
Advanced features: Object recognition, tag tracking, autopilot and more.
Support Materials: Guides and tutorials to help users quickly get started with autonomous driving and using the ROS operating system.

Applications and uses:

Autonomous driving: ROSMaster R2L is ideal for research and development projects in the field of autonomous vehicles.
Education: Suitable for educational programs that want to teach students about robotics and artificial intelligence.
Algorithm development: Perfect for developing and testing object recognition and autopilot algorithms.

The package includes:

ROSMaster R2L robot with Ackerman directional geometry
Subkit Ultimate-Orin NX board
2MP high definition camera
Support materials (guides, tutorials, open-source codes)

With ROSMaster R2L, users have everything they need to start exploring and developing autonomous driving technologies, benefiting from technical support and comprehensive educational resources.