Tiangong
Tiangong is China's pioneering full-sized electric humanoid, blending agility with resilience. Standing 1.63 m tall, it sprints up to 6 km/h, nimbly climbs stairs and tackles uneven terrain thanks to its state-of-the-art perception system. Backed by a high-efficiency battery pack and a modular open-source architecture, Tiangong excels in scenarios from warehouse logistics to disaster response. With its intuitive AI-driven motion control and robust aluminum-composite frame, this robot invites developers worldwide to push the boundaries of human-robot collaboration.
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Tiangong Revolutionizes Humanoid Robotics with Stunning Debut
The Tiangong Launch Unveiled
Distinctive Intelligence and Agility
Engineering Breakthroughs Power Tiangong
The Beijing Humanoid Robot Innovation Center has officially **introduced Tiangong**, a groundbreaking full-sized electric humanoid robot, marking a major leap in robotics on December 11, 2025. Priced competitively to foster broad adoption, Tiangong offers a rare blend of speed, agility, and endurance that could redefine automation across industries. This launch signals China's accelerated push into advanced robotics, positioning Tiangong as a versatile platform designed to disrupt traditional manufacturing, logistics, and service sectors with its open-source architecture and scalable design.
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Frequently Asked Questions
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Q1. What is Tiangong, and what problem is it designed to solve?
Tiangong is a full-size humanoid robot developed by the Beijing Humanoid Robot Innovation Center, unveiled in April 2024. It addresses the engineering challenge of creating a dynamic, full-size humanoid capable of sustained running using electric power rather than hydraulic systems, enabling more scalable and cost-efficient deployment across industrial and logistics applications.
Q2. What are the main capabilities and key features of Tiangong?
Tiangong operates with electric actuators and features a multi-modal sensor array including inertial measurement units, 3D visual sensors, and six-dimensional force sensors. The robot employs a self-developed motion control algorithm called State-Memory-Based Predictive Reinforcement Imitation Learning, enabling navigation across varied terrains including slopes, stairs, gravel, and sand with real-time gait adjustment capabilities.
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