Product profile
Booster T1
Booster T1 is Booster Robotics humanoid robot platform for embodied-AI development and locomotion research. It is used as a physical testbed for reinforcem...
Facts
- Company
- Booster Robotics
- Product type
- humanoid
- Status
- commercial
- Primary capability
- generalist
- Website
- https://www.booster.tech/booster-t1/
About Booster T1
Booster T1 is an approximately 1.18-metre, 30-kilogram humanoid configurable from 23 to 41 degrees of freedom. Dual-encoder joints provide peak torque reaching 130 newton-metres, while optional seven-axis arms, grippers and dexterous hands extend the platform from locomotion research into manipulation.
NVIDIA Jetson AGX Orin, depth sensing and inertial measurement support onboard policies and perception. Open APIs, documentation, simulation tools and reinforcement-learning frameworks connect the robot to research pipelines. Battery endurance is approximately two hours while walking and four hours while standing. T1 is commercially available and used by universities and RoboCup teams.
Market context
mixed, developer_platform
Summary
Type: Humanoid
Core: Humanoid training
Function: Locomotion
Audience: Researchers
Specifications
- arm_dof
- 4 DoF per arm, extensible
- arm_length
- 45 cm
- dimensions
- 118 x 47 x 23 cm
- dof
- 23
- head_dof
- 2
- height_cm
- 118 cm
- leg_dof
- 6
- leg_length
- 57 cm
- manipulation
- optional gripper; optional dexterous hand
- waist_dof
- 1
- weight_kg
- About 30 kg kg
Operations
- Environment
- indoor_human_environment, indoor_structured
- Primary user
- developer, researcher
- Role
- research_development, general_purpose_humanoid
- Interaction model
- developer_platform
- Mobility class
- humanoid, biped
- Product detail
- mixed, developer_platform
Research, Articles and recent verified events
- VOFA demonstrates force-adaptive visual object pushing on Booster T1 — 2026-05-02
- Booster Robotics completes new funding round of nearly RMB 1 billion — 2026-04-17
- AGILE: A Comprehensive Workflow for Humanoid Loco-Manipulation Learning — 2026-03-20
- REFINE-DP presents RL fine-tuning method for data-efficient humanoid loco-manipulation — 2026-03-18
- HybridMimic: Hybrid RL-Centroidal Control for Humanoid Motion Mimicking — 2026-03-06
- Booster Robotics raises over RMB 100 million in new funding round — 2026-01-12
- Learning Sim-to-Real Humanoid Locomotion in 15 Minutes — 2025-12-01
- AutoOdom evaluates autoregressive proprioceptive odometry on Booster T1 — 2025-11-24