Booster K1 Basic EDU | NVIDIA Jetson Orin NX 8GB | 117 Tops

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Référence: RBTX-BOOST-0003

Booster Robotics K1 Basic EDU 117 Tops

Le Booster Robotics K1 Basic EDU est un robot humanoïde de recherche de 90 cm de haut, doté de 22 degrés de liberté, d'articulations à double encodeur entièrement contrôlées en force et d'une puissance de calcul IA allant jusqu'à 117 TOPS. Une caméra RGBD, une IMU 9 axes et du matériel audio sont intégrés.

Équipé d'un NVIDIA Jetson Orin NX (8 Go), le K1 prend en charge ROS, Isaac Sim et des environnements de développement ouverts. Les interfaces de modèle de robot, les pilotes, les projets d'exemple et les API permettent de développer des applications d'IA, de perception et de contrôle du mouvement.

Idéal pour l'IA incarnée, la recherche en robotique, l'enseignement, la navigation autonome, l'interaction homme-robot ainsi que le développement et l'évaluation de modèles de mouvement humanoïdes et de modèles d'IA.

Délai de livraison standard : 3 semaines
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DOF
22
Weight
19,5
kg
Height
900
mm
Speed
0,4
m⁄s
Operating time
2
h
Max Joint torque
60
nm

Produits phares

https://a.storyblok.com/f/298593/1080x1080/22e07fb858/k1-2.png

The Booster K1 Basic EDU with 117 tops for AI computations

The Booster Robotics K1 Basic EDU is a humanoid research and development robot designed for AI, motion research, robotics projects, and human–robot interaction. It is approximately 95 cm tall, weighs around 19.5 kg, and features 22 degrees of freedom for its legs, arms, and head. The fully force-controlled joints with a dual-encoder system enable the control of position, velocity, and torque; the AI computing power of this EDU variant is up to 117 TOPS. This makes it suitable for motion training, show cases, interaction, and development, but unlike industrial robots, it is not intended for heavy payloads, high cycle rates, or clearly defined production tasks.

https://a.storyblok.com/f/298593/1080x1080/7d64815427/k1-3.png

What applications is the Booster K1 Basic EDU suitable for?

The K1 Basic EDU is particularly well suited for research, education, the development of embodied AI, humanoid motion modeling, navigation, speech and sensor interaction, as well as experiments with ROS-based robotics stacks. Typical target groups include universities, research laboratories, development teams, AI departments, and companies that want to evaluate humanoid robotics in a practical environment. Key features include the 22 degrees of freedom (DoF), the RGBD or stereo depth camera, the 9-axis IMU, the microphone array, the speaker, and the Jetson Orin NX platform.

https://a.storyblok.com/f/298593/746x558/1a1dff8b54/booster.png

Integration and commissioning of the Booster K1 Basic Edu

The integration is intended for developers and research teams with experience in ROS, robot models, and AI software. The Booster K1 Basic EDU is ROS-compatible, supports secondary development, provides interfaces for the robot model, and is compatible with simulation environments such as Isaac Sim. The robot comes with documentation, a hardware manual, ROS drivers, sample projects, a charger, a power supply, a 5 Ah battery, a remote control, and a carrying case. A mobile app supports network configuration and remote control.

https://a.storyblok.com/f/298593/744x412/3c15eb7b00/k1-ai.jpg

How do you programme the Booster K1 Basic EDU?

The K1 is specifically designed for developers and uses open software architectures, ROS compatibility, interfaces to robot models, sample projects, and secondary development. The EDU variant features an NVIDIA Jetson Orin NX with 8 GB RAM and up to 117 TOPS, enabling local AI, perception, and control applications. A mobile app simplifies network configuration and remote control; a remote control is also included in the package. Beginners should therefore allow sufficient time to become familiar with ROS and humanoid robotics.

https://a.storyblok.com/f/298593/654x468/cc85f0714e/k1-jump.png

What can the Booster K1 Basic EDU be used for?

The Booster Robotics K1 Basic EDU is ideally suited for companies, universities, or development teams looking for a compact humanoid platform for embodied AI, ROS development, gait research, sensor fusion, and human–robot interaction. The EDU version features 22 degrees of freedom (DoF), 117 TOPS of AI computing power, an RGBD camera, a microphone array, a speaker, an IMU, a 5 Ah battery, and a remote control. Its strengths lie in its open communication capabilities, mobility, and humanoid motion architecture. It is recommended for development and evaluation purposes, but not for direct use in production applications.

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