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发布时间:2026-08-26

忏悔录

23 humanoid robot teams compete in rescue missions at 2nd WHRG, facing real-world complexity beyond dancing in coordination_我的网站

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A humanoid robot takes part in a simulated firefighting mission during the 2nd World Humanoid Robot Games in a real fire brigade in Beijing on August 16, 2026. Photo:Li Hao/ GT
    A humanoid robot takes part in a simulated firefighting mission during the 2nd World Humanoid Robot Games in a real fire brigade in Beijing on August 16, 2026. Photo:Li Hao/ GT
The firefighting final of the emergency management category at the 2nd World Humanoid Robot Games (WHRG) was held on Sunday in Beijing, putting 23 teams through a simulated rescue operation designed to test whether humanoid robots can move beyond demonstrations and perform practical tasks in complex real-world environments.
The event comes as Chinese humanoid robots, long known for eye-catching abilities such as running, dancing and music playing, are pushed toward practical applications, including jobs that are dangerous for humans such as emergency rescue.
Unlike the first edition of the WHRG last year, according to the organization committee, this year's scenario-based events emphasize "realistic simulation," with the firefighting competition being held at a fire brigade rather than in a model-room setup. 
The competition simulated a firefighting assignment that required each of the 23 robots to complete three tasks within 30 minutes: identify hazardous materials, shut off valves and operate a fire extinguisher. For the first task, robots had to identify two randomly placed simulated hazardous substances and report their types to judges through returned images. They then had to locate three randomly selected open valves of different types and shut them off before identifying a fire source, finding a fire extinguisher and spraying it until the fire was put out.
Human firefighters were also involved in the event, lighting the fire and observing whether the robots carried out the extinguisher operation correctly.
The competition, however, showed how difficult it remains for robots to perform reliably outside controlled laboratory conditions.
Rain affected the competition, while changes in lighting and the outdoor environments added uncertainty to the robots' visual recognition and manipulation tasks. A team from UniX AI, a company well-known for its robot applications on real-world scenarios and has just raised a new round of 300 million yuan ($ 44.49 million) in late March, completed its run within the allotted time, but its robot moved relatively slowly compared to human firefighters' real practice. When operating the fire extinguisher, its robotic hand had to make two attempts to align with the target.
Of 12 teams competed on Sunday, three finished the challenge. 
Yang Liqi, a representative of the UniX AI team, told the Global Times that the firefighting scenario placed higher demands on both the robot's recognition and manipulation capabilities.
"Rain and lighting conditions can affect the robot, and actual situations are often different from what we simulate in the laboratory," Yang said, noting that this was also one reason why a number of teams were unable to complete their runs on Sunday morning.
The team had programmed the robot to make up to three attempts when operating the extinguisher. "If it sees white smoke after the first attempt, it will not make a second attempt," Yang said.
The difficulty was not simply that whether the robot could move its arm. Humanoid robots rely on different types of joints for different tasks: small, high-precision joints enable delicate hand operations, while high-torque, reliable joints support movement and balance.
A failure at any point of actions and detection could affect the final result. This is precisely where the value of real-world competitions lies, Jin Chenran, a representative of the Tiangong team whose robot only accomplished one of the three tasks, told the Global Times.
"Whether the competition goes smoothly or not, that is the significance of a real-world simulation. Every real-world failure is valuable data that helps humanoid robots toward practical application," Jin said.
Jin further explained that questions like why the robot failed to recognize an object and how its motion-planning system selected the wrong path... Such data can subsequently be used to improve algorithms and train AI models.
The competition also offered a glimpse into the current transitional stage of humanoid robot technology. At the venue, some team members were wearing VR headsets and remotely adjusting their robots shortly before their runs.
Some humanoid robots were seen using omnidirectional wheels instead of feet, while their hands featured multiple joints to enable more precise manipulation. Many teams chose China-developed UBTECH's joint modules for their robots. Its servo actuators cover a wide torque range from 0.2Nm to 200Nm, allowing robots to combine dexterity with strength. Meanwhile, VR teleoperation gives operators a first-person view through the robot's cameras, enabling them to remotely guide movements in real time.
The event comes amid a broader push in China to move humanoid robots and embodied intelligence from laboratories and competition arenas into real production and daily-life environments. In June, the Ministry of Industry and Information Technology and the other departments launched a special program for humanoid robots and embodied intelligence that encouraged applications in practical fields including emergency rescue.
Zhao Weidong, deputy director of the organizing committee office, told the Global Times that the scenario-based competitions are intended to test the progress of humanoid robots from "competition performance" toward "real operational work," including whether they can eventually become intelligent partners for firefighters.
"At present, many simulations of actual operations may still be at an early stage," Zhao said. "But these are an important starting point for enabling robots to truly assist humans in real-world environments, as well as an important source of data and testing."
The ultimate goal, Zhao said, is to push robots into fields where human operations are dangerous and achieve genuine "human-robot complementarity."
。      综合消息,美国海关与边境保护局周五发布指引,宣布依据第338条款,将在8月22日凌晨00:01开始对部分加拿大商品加征50%关税。  美国贸易代表格里尔此前表示,加拿大拒绝按照本周早些时候达成的条款最终敲定贸易协议。

二 | 尽管美国承诺给予加拿大作为美国主要出口国中最好的待遇,但加拿大提出的新要求以及对其他承诺的反悔,打破了过去几天来双方小心翼翼达成的平衡。  但加拿大总理卡尼指责称,美国在最后一刻对提议条款的修改既不公平,也不符合加拿大的经济利益,更令人质疑任何协议的可靠性。  双方都指责对方破坏了数日的谈判,而这可能导致美国与加拿大高层之间的紧张关系进一步加剧。由于美国总统特朗普曾多次戏称加拿大是美国的第51个州,两国关系已经降至历史性冰点。  影响  卡尼表示,他已经决定暂停与美国的贸易谈判,并指示加拿大谈判代表返回渥太华。加拿大将对美国关税采取1比1的报复措施。  卡尼在去年当选加拿大总理时承诺要对抗特朗普,民调显示,大多数加拿大人至今仍支持卡尼,反对向特朗普做出任何让步。  而美国和加拿大之间的谈判破裂将进一步影响两国的经贸和外交往来。实际上,美国宣布加征关税的加拿大商品仅占到对美出口总额的约5%。  但新关税建立在美国对钢铁、木材和汽车征收的关税基础上。过去18个月中,加拿大相关行业均遭受了重创,而来自美国的新关税可能加剧加拿大经济的疲软问题。  与此同时,美国与墨西哥的贸易谈判也在进行之中。墨西哥经济部长马塞洛·埃布拉德周五早些时候表示,他预计墨西哥将与美国达成贸易谅解,条款在许多方面与美国和加拿大之间正在讨论的协议类似。

三 |   他补充称,美墨与美加的贸易谈判并不存在竞争性,但墨西哥需要看到任何美加协议的最终公布条款后才能做出全面评估。  而不欢而散的美加贸易谈判可能也会给美国与墨西哥之间的谈判蒙上一层阴影。(文章来源:财联社)。

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