Booster T1 is an agile, open-source humanoid platform built for developers and researchers. Standing approximately 1.2 m tall with 23 joints, it features omnidirectional walking, powerful AI onboard via NVIDIA Jetson AGX Orin, and full support for ROS2 and simulation tools—making it an adaptable, high-mobility robotics foundation.
Product Description
The Booster T1 is a developer-focused humanoid robot designed for research, education, and advanced robotics projects. It combines agile locomotion, powerful onboard AI processing, and an open architecture for rapid innovation.
Key Features:
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Lightweight, Durable Build – About 1.2 m tall, impact-resistant, and highly agile.
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Configurable Degrees of Freedom – 23 DoF standard, expandable to 31 or 41 for advanced manipulation.
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High-Performance AI – NVIDIA Jetson AGX Orin with up to 200 TOPS for real-time perception and control.
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Full Sensor Suite – RGB-D camera, 9-axis IMU, microphone array, and speaker for navigation and interaction.
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Omnidirectional Motion – Smooth walking in all directions with precise joint control.
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Wide Software Compatibility – ROS2 support and integration with leading simulation platforms.
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Mobile & Edge AI Capabilities – Bluetooth/app control, speech/audio functions, and object detection.
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Competition-Proven – Demonstrated excellence in RoboCup with wins in navigation, racing, and tasks.
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Reinforcement Learning Support – Booster Gym framework for real-to-sim adaptability.
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Efficient Power – Up to 2 hours walking or 4 hours standing runtime.
Mobility & Structure
Attribute
Value
Description
Why It Matters
Locomotion Type
Bipedal, wheeled-hybrid, etc.
Defines interaction envelope
Degrees of Freedom (DOF)
# of controllable joints
Directly tied to dexterity & versatility
Max Walk Speed
m/s
Static, dynamic balancing
Upper Body & Manipulation
Attribute
Value
Description
Why It Matters
Arm DOF
Each arm's axis count
Higher = more natural movement
Hand Dexterity
Pinch / 3-finger / 5-finger
Newtons
Grip Feedback
Force, pressure, tactile sensors
Enables delicate handling and learning
Perception
Attribute
Value
Description
Why It Matters
Visual Sensors (Eyes)
RGB / Depth / IR / LiDAR
Navigation, facial recognition, object tracking
Eye DOF / Movement
Can they move? (Y/N, axis count)
Naturalistic interaction & gaze tracking
Audio Sensors (Ears)
# of mics + array type
Needed for voice commands, sound source localization
Face Display / Actuators
LED screen / moving eyebrows / static
Social communication, emotional response
Face Expressiveness
None / Basic / Realistic
Higher = better interaction in social spaces
Interfaces
Attribute
Value
Description
Why It Matters
Voice Recognition
NLP model + languages supported
Enables natural user interaction
Speech Output
TTS engine used + quality level
Critical for public/commercial use
Touch UI / Screen
Present or not
Optional fallback interaction
Remote Control
N/A
Web / App / Joystick
Needed for manual override or remote training
