Booster K1 | Pro EDU | NVIDIA Jetson AGX Orin 32GB | 200 TOPS


Part No.: RBTX-BOOST-0004

Booster Robotics K1 Pro EDU 200 Tops

The Booster Robotics K1 Basic EDU is a 90 cm-tall humanoid research robot with 22 degrees of freedom, fully force-controlled joints with two encoders, and AI computing power of up to 117 TOPS. An RGBD camera, a 9-axis IMU and integrated audio hardware are included in the package.

Equipped with an NVIDIA Jetson AGX Orin (32 GB) and up to 200 TOPS of AI performance, the K1 Pro EDU supports ROS2, APIs, as well as Isaac Sim, Mujoco and Webots. The open development environment enables sophisticated AI, perception and motion applications.

Ideal for embodied AI, humanoid robotics, autonomous navigation, human-robot interaction, locomotion research, and training and development using ROS2 and AI software.

Waktu pengiriman biasa: 3 minggu

DOF
22
Weight
19,5
kg
Height
900
mm
Speed
0,4
ms
Operating time
2
h
Max Joint torque
60
nm

Highlight

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The Booster K1 Pro EDU with 200 Tops for high performance AI computations

The Booster K1 Pro EDU is a compact humanoid development platform for research, education, AI development and robotics competitions. It is around 95 cm tall, weighs 19.5 kg and has 22 degrees of freedom for its legs, arms and head. The Pro version offers up to 200 TOPS of AI computing power via the NVIDIA Jetson AGX Orin 32 GB; the Pro also comes with an Intel i7-1370P. This makes it suitable for gait control, sensor fusion, human-robot interaction, real-time perception and ROS-based control, but not for heavy-duty handling or high industrial cycle times.

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What applications is the Booster K1 Pro EDU suitable for?

The K1 Pro EDU is suitable for embodied AI projects, research, humanoid interaction, autonomous navigation, voice and camera interaction, as well as training in ROS2, simulation and robot control. It is aimed at universities, research departments, development teams, integrators and companies wishing to evaluate humanoid robotics prior to industrial deployment. Key features include 22 degrees of freedom (DoF), dual-encoder actuators up to 60 Nm, a stereo depth or RGBD camera, a 9-axis IMU, a microphone array, a loudspeaker, Wi-Fi 6, Bluetooth 5.2 and Ethernet. For pick-and-place tasks involving higher payloads, a conventional robotic arm is more suitable.

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Integration and commissioning of the Booster K1 Pro EDU

Commissioning is aimed at technically proficient users with experience in robotics, Linux and ROS. The K1 Pro EDU supports ROS 2, APIs and simulation in Isaac Sim, Mujoco and Webots, also secondary development and firmware upgrades. For operation and testing, app support, a remote controller, Wi-Fi 6, Bluetooth 5.2 and Gigabit Ethernet are available. The integration time therefore depends heavily on the specific application, ROS expertise and the desired AI functionality.

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How do you programme the Booster K1 Pro EDU ?

The K1 Pro EDU is programmed using a developer-oriented approach via ROS2, APIs, secondary development and simulation environments such as Isaac Sim, Mujoco and Webots. The 200-TOPS computing platform supports more demanding applications in perception, AI inference, motion control and multimodal interaction than the lower-spec K1 variants. App support and a remote controller simplify network setup, testing and demonstrations. Specific drag-and-drop tools, teach pendants, manual guidance, PLC wizards, low-code templates or training packages are not specified. Beginners should therefore allow for the time required to learn ROS2, simulation, Linux and humanoid kinematics.

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What can the Booster K1 Pro EDU be used for?

The Booster Robotics K1 Basic EDU is ideal for companies, universities or development teams seeking a compact humanoid platform for embodied AI, ROS development, gait research, sensor fusion and human-robot interaction. The Pro EDU version comes with 22 degrees of freedom (DoF), 117 TOPS of AI performance, an RGBD camera, a microphone array, a loudspeaker, an IMU, a 5 Ah battery and a remote controller. Its strengths lie in its openness, mobility and humanoid motion architecture; its limitations lie in industrial payload capacity, certified safety and plug-and-play production automation. It is recommended for development and evaluation, not for immediate mass-production applications.

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