新一代通用机器人平台具身天工3.0,该款机器人以"全自主、更开放、更好用"为核心目标,并依托自研"慧思开物"通用具身智能平台,在本体稳定性、运动控制、具身大小脑协同、全自主作业等方面有了显著提升,是行业内首个实现触物交互式全身高动态运动控制的全尺寸人形机器人。
Primary use case: 展厅导览、工业零部件自主分 拣、电控柜质检操作、物品自主搬运
Locomotion
bipedal
Hand Type
dexterous
Autonomy Level
fully_autonomous
AI Capabilities
全自主作业, 运动控制, 具身大小脑协同, 触物交互式全身高动态运动控制, 多模态感知, 长程任务规划, 双臂协作, 视觉识别, 路径感知与决策, 低延时语音交互
Availability
pre-order
Primary Use Case
展厅导览、工业零部件自主分拣、电控柜质检操作、物品自主搬运
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.