The Tian Yi 2.0 (天轶2.0) is a wheeled humanoid robot by X-Humanoid (Beijing Humanoid Robot Innovation Center) combining a wheeled mobile base with a humanoid upper body for mobile manipulation. It targets patrol inspection, guided reception, and autonomous service tasks in offices, factories, and industrial sites.
Primary use case: Patrol inspection, guided reception, and autonomous service operations in offices, warehouses, and industrial facilities
DOF
35
Payload
5 kg
Degrees of Freedom
35
Locomotion
wheeled
Balance
static
Hand Type
dexterous
Payload
5 kg
Max Lift/Arm
5 kg
Autonomy Level
fully_autonomous
AI Capabilities
vision, speech, planning, manipulation, navigation
Onboard Compute
est. edge AI; Wi-Fi 6, CAN/EtherCAT interfaces
Availability
available
Primary Use Case
Patrol inspection, guided reception, and autonomous service operations in offices, warehouses, and industrial facilities
X-Humanoid presented a roadmap at ROSCon China 2026 for a unified embodied model and self-evolving robot policies, with the 'Pelican' project positioned as a step toward unifying a world model and simulator. The announcement frames the company's vision for a common foundation that supports continuously improving robot policies.
Jack Guo, a 34-year-old engineer at X-Humanoid (Beijing Humanoid Robot Innovation Centre), led the TianGong Ultra humanoid robot to a 100-meter sprint time of 8.64 seconds at the World Humanoid Robot Games, beating Usain Bolt's world record by nearly a second. Now Guo is focused on the harder challenge of turning high performance into reliability and usability for real-world applications, likening today's humanoids to the earliest cars that first need to be controllable before pairing reliable bodies with smarter AI brains.
TianGong Ultra, a humanoid robot developed by Beijing's X-Humanoid, stunned the world by sprinting 100 metres in 8.64 seconds at the World Humanoid Robot Games, beating Usain Bolt's 9.58-second human record under different conditions. The company's engineers, led by Jack Guo, are now focused on making the robot reliable and useful for real-world applications like factory work and emergency rescue, rather than just achieving speed records.