Booster T2
commercialHumanoid

Booster T2

byBooster RoboticsBeijing, China

The Booster T2 is a Humanoid humanoid robot developed by Booster Robotics. The Booster T2 is unknown.

Primary use case: Flagship embodied development platform for developers building embodied AI applications

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From around the web

Booster Robotics Ranks Among Global Top 3 in Humanoid Robot Shipments, IDC Reports

According to IDC, global humanoid robot shipments reached nearly 25,000 units in H1 2026 (+432.1% YoY), with Booster Robotics ranking among the top three vendors by shipment volume. Booster Robotics differentiates itself through a developer-first platform combining hardware (Booster OS, Booster Studio IDE) with its robots, serving customers in over 40 countries. The company launched its flagship Booster T2 in July 2026 and saw strong adoption at RoboCup 2026, where 38 of 59 teams used its platforms.

markets.financialcontent.com•Oct 14, 2026

Watch This Unbelievable Army of Chinese Robots Train for a Groundbreaking Event

Booster Robotics is training 80 synchronized Booster T2 humanoid robots ahead of the second World Humanoid Robot Games, scheduled for August 22–26, 2026 in China. The T2 runs on an Nvidia Jetson Thor T5000 chip with 2,070 teraFLOPS of compute, stands 1.4 m tall, weighs up to 43 kg, lifts 10 kg, and retails for around €27,000 (~$29,000). The article positions the T2 as a more powerful but slightly pricier alternative to the Unitree G1, while flagging that dexterity demonstrations have not yet been released.

futura-sciences.com•Oct 13, 2026

Humanoid robot handles household chores smoothly with new system

Shanghai-based Archon Robotics released its first demonstration of Whole-Body Intelligence (WBI), a framework that coordinates humanoid robots' full-body motion with high-level task planning. The system combines large-scale human motion data for pretraining with real-robot demonstrations for post-training, and the demo features AGIBOT A3, Booster T2, and modified Unitree G1 humanoids performing household tasks like clearing tables, loading dishwashers, and organizing refrigerators. Experts noted that Archon did not disclose dataset sizes, task-completion rates, or quantitative transfer results, so reliability remains unproven beyond staged demonstrations.

interestingengineering.com•Oct 13, 2026