Humanoid Database
Disclaimer: All content presented on this site, including robot profiles, images, and descriptions, is provided for editorial, educational and informational purposes only. Humanoid Press does not claim ownership of any third-party trademarks, designs, or intellectual property featured herein. All rights belong to their respective owners.
Booster T1
|
type: |
type 1 |
|
{{variant.name}}:
|
{{opt.name}}
{{opt.name}}
|
Summary:
The Booster T1 is a lightweight, flexible humanoid robot developed by Booster Robotics. Standing at 1.2 meters and weighing approximately 30 kg, it features up to 41 degrees of freedom, NVIDIA Jetson AGX Orin AI, and full ROS2 compatibility. Designed for developers, researchers, and robotics teams, the T1 excels in dynamic motion, autonomous navigation, and dexterous manipulation—earning global recognition as the 2025 RoboCup AdultSize Champion.
Editorial:
Booster T1 represents a new standard in humanoid robotics for open-source development. Its modular architecture supports high-level motion planning, low-level torque control, and real-time feedback via simulation platforms like Isaac Sim, Mujoco, and Webots. The robot’s ability to perform complex movements—such as kung fu, push-ups, and rising from a prone position—makes it ideal for both academic research and competitive robotics.
Booster Robotics emphasizes developer accessibility, offering a comprehensive SDK, API interfaces, and mobile app control. The T1 is widely adopted by over 50 global robotics teams and institutions, making it a preferred platform for humanoid experimentation, AI training, and embodied intelligence research.
Specifications:
| Feature | Details |
|--------------------------|-------------------------------------------------------------------------|
| Manufacturer | Booster Robotics Technology Co., Ltd. |
| Height / Weight | ~1.2 m / ~30 kg |
| Degrees of Freedom | 23–41 depending on model configuration |
| AI Hardware | NVIDIA Jetson AGX Orin 32GB |
| Software | Open-source SDK with ROS2, Isaac Sim, Mujoco, Webots support |
| Control System | Dual-encoder actuators with torque, velocity, and position control |
| Battery Life | ~2 hours walking, ~4 hours standing |
| Use Cases | Research, education, competition, dexterous task training |
| Notable Achievements | 2025 RoboCup AdultSize Champion |
Image: @Generationrobots