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机器人刚在工厂里干完活，就被“请假”送上了赛场。智元机器人首次参加世界人形机器人运动会，最终拿下18枚金牌、16枚银牌和12枚铜牌；更关键的是，参赛机型都是量产机，并非为比赛专门制造的定制机器。爱范儿报道，这些“打工人”把真实场景里的经验带进了比赛。
The robots had just finished working in a factory when they were “given time off” and sent to the arena. AgiBot made its debut at the World Humanoid Robot Games, ultimately winning 18 gold, 16 silver and 12 bronze medals. More importantly, all of the participating models were mass-produced machines, not customized robots built specifically for the competition. As reported by ifanr, these “factory workers” brought experience from real-world scenarios to the event.
动作展示因此有了工作背景。武大智元联合队的灵巧手在27秒内称出20克盐，还完成夹豆和搭积木；远征A3在太极拳项目中连续完成腾空飞脚、外摆莲和马步等动作；灵犀X2则在100米障碍赛中绕障、跨越障碍并通过受限空间。太极动作依靠运动数据学习，再通过Sim2Real——先在仿真环境训练、再迁移到真实机器——反复修正摩擦、关节间隙和传感器误差带来的偏差。
That gave the demonstrations a work-related context. The dexterous hand of the Wuhan University-AgiBot joint team weighed 20 grams of salt in 27 seconds, while also picking up beans and building with blocks. The Expedition A3 performed movements including a flying kick, an outward lotus kick and a horse stance in the tai chi event. The Lingxi X2 navigated around obstacles, cleared barriers and passed through restricted spaces in the 100-meter obstacle race. The tai chi movements were learned from motion data and then repeatedly refined through Sim2Real—training first in a simulated environment before transferring the results to a real machine—to correct deviations caused by friction, joint gaps and sensor errors.
真正贴近生产的细节出现在消防赛场。灭火器重达4.5到5公斤，超过市面上绝大多数人形机器人末端夹爪的负载上限。智元没有另做昂贵夹爪，而是在手腕处增加结构件，利用手腕强度勾起灭火器，再放入底盘上的承载桶。配合基于VR的超视距遥操、逆运动学映射和力反馈全身控制，机器人在接触门把手、阀门和消防器材时，可以吸收碰撞冲击，降低因意外接触触发停机的风险。
The details most closely tied to production appeared in the firefighting event. The fire extinguisher weighed 4.5 to 5 kilograms, exceeding the payload limit of the end-effectors on the vast majority of humanoid robots available on the market. Rather than developing an expensive new gripper, AgiBot added structural components at the wrist, using wrist strength to hook the extinguisher and place it in a load-bearing container on the robot’s base. Combined with VR-based beyond-line-of-sight teleoperation, inverse-kinematics mapping and force-feedback whole-body control, this allowed the robot to absorb impact when handling door handles, valves and firefighting equipment, reducing the risk of an unexpected contact triggering a shutdown.
图书整理则考验连续工作的稳定性。智元与清华大学、上海交通大学组成联合队，完成图书出库运输、上架归位，以及识别并纠正错放图书。视觉模型不仅读取书封文字，还根据书籍厚度和倾斜角度计算抓取点，让双臂协同抽书、插入正确空隙。智元将作业智能、运动智能和交互智能组合成全栈模型结构，并用GO-2动作思维链拆解长程任务，用GE-2世界模型预测动作后的环境变化。
Book sorting tested the stability required for continuous work. AgiBot formed a joint team with Tsinghua University and Shanghai Jiao Tong University to transport books out of storage, place them on shelves, and identify and correct misplaced books. The vision model not only read the text on book covers, but also calculated grasping points based on each book’s thickness and tilt angle, allowing both arms to work together to pull out books and insert them into the correct gaps. AgiBot combines task intelligence, motor intelligence and interaction intelligence into a full-stack model architecture, using the GO-2 action chain of thought to break down long-horizon tasks and the GE-2 world model to predict changes in the environment after an action.
具体来说，工厂里的部署比领奖更能说明问题。今年6月，多台智元精灵G2进入龙旗科技江西南昌量产工厂，累计完成17625次作业，任务成功率99.99%。这意味着机器人已经不只是在实验室完成单个动作，而是在现有生产环境里承担重复任务；不过，人工接管、故障间隔、自动恢复、客户扩点和单位经济性，仍决定它能否从少数工厂走向规模复制。
Specifically, factory deployment says more than the medals do. In June this year, several AgiBot Genie G2 units entered Longcheer Technology’s mass-production factory in Nanchang, Jiangxi, completing 17,625 operations with a 99.99% task success rate. This means the robots are no longer merely performing individual actions in a lab, but are taking on repetitive tasks in an existing production environment. Human intervention, time between failures, automatic recovery, customer expansion and unit economics will nevertheless determine whether they can move from a handful of factories to large-scale deployment.