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上锁的房间阿尔法·罗密欧迎来115周年 特别版车型亮相_我的网站
A |  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." 。 [ 资讯] 6月22日，阿尔法·罗密欧开启一场生日庆典。6月24日阿尔法·罗密欧即将迎来115岁生日，这个传奇的意大利汽车品牌于1910年诞生，早于玛莎拉蒂、法拉利、兰博基尼等一众意大利豪华品牌。 。
B | 例如，整整100年前，阿尔法·罗密欧GP Tipo P2赢得了首届世界汽车锦标赛，凭借维托里奥·雅诺的出色设计以及厂队车手的驾驶技巧，在赛道上脱颖而出，使品牌跻身世界汽车运动的精英之列。
C | 同年，Tipo 158也取得了辉煌胜利，由尼诺·法里纳驾驶，在F1首个赛季中获得世界冠军。 115周年庆典，阿尔法·罗密欧发布了基于Giulia朱丽叶(参数|询价)四叶草版(QV)打造的特别涂装车型——Speciale Tribute四叶草特别致敬版，创作灵感源于中国书法的飘逸笔触，以流动线条模拟气流划过车身的轨迹，展示Giulia四叶草的车身曲线。明黄色涂装致敬1969年Alfa Romeo 33/2 Coupé Speciale的经典涂装。
D | 这款以超前空气动力学设计概念车，曾以“黄色闪电”之姿成为品牌设计里程碑。四叶草特别致敬版仅在活动现场作为展车呈现。
E | 共计五种涂装样式，共限量5台。
F | 动力来看，Giulia朱丽叶Daytona Tribute戴通纳致敬限量版车型搭载2.0T L4发动机，输出280马力、400牛·米，0-100kmh加速为5.2秒，碳纤维传动轴等加持。 据悉，Giulia朱丽叶Daytona Tribute戴通纳致敬版是品牌赛事历史基因的荣耀复刻：1968年采用封闭式车身设计后，Tipo 33/2全年获得15场胜利与6场组别胜利，其中包括在戴通纳24小时耐力赛中斩获的2.0L组传奇冠军。也正是这一年，基于Tipo 33/2赛车实施的公路化逆向开发，催生了世界汽车史上最美丽的汽车——公路车鼻祖Tipo 33 Stradale。因此，Giulia朱丽叶戴通纳致敬版的赛车号码及四叶草标识均1:1复刻自Tipo 33/2戴通纳夺冠实车，将传奇荣耀封印于车身。 另外，根据之前消息，全新阿尔法·罗密欧Stelvio将于2025年内发布，并于2026年上市。全新Giulia将在全新Stelvio之后发布，两款新车将采用STLA Large平台，有混合动力和纯电动版可选。 关于全新Giulia，阿尔法·罗密欧高层表示新车不会是一款传统的轿车，而将采用“新设计和新车身”，底盘比普通轿车更高。动力系统则预计与全新Stelvio保持一致，有混动和纯电版可选。此外阿尔法罗密欧此前已确认，计划推出全新Stelvio和Giulia的高性能Quadrifoglio版本，采用纯电动力，最大功率有望超1000马力。 当然，如果追求最纯粹的意大利燃油体验，现款Giulia仍是合适的选择。（文/ 庞珅）
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