近日，北京人形机器人创新中心有限公司向北京印刷学院发来感谢信，对机电工程学院师生在第二届世界人形机器人运动会备赛工作中的积极贡献表示感谢。2026年8月22日至26日，第二届世界人形机器人运动会在国家速滑馆冰丝带举行。北京人形机器人创新中心有限公司以15金、12银、18铜的成绩荣获运动会奖牌总数第一，赛事期间，天工系列机器人34次刷新人类纪录。
Recently, Beijing Humanoid Robot Innovation Center Co., Ltd. sent a thank-you letter to Beijing Institute of Graphic Communication, expressing gratitude to the School of Mechanical and Electrical Engineering's faculty and students for their active contributions to preparation work for the Second World Humanoid Robot Games. From August 22 to 26, 2026, the Second World Humanoid Robot Games were held at the National Speed Skating Oval "Ice Ribbon." Beijing Humanoid Robot Innovation Center Co., Ltd. won first place in total medals with 15 gold, 12 silver, and 18 bronze; during the event, Tiangong series robots broke human records 34 times.
机电工程学院紧扣立德树人根本任务，抢抓人工智能与产业升级发展机遇，强化产教融合，积极推进新工科建设，持续提升专业办学核心竞争力。今年暑期，学院与北京人形机器人创新中心积极对接，选派数十名优秀学生参与机器人测试、数据采集与验证、现场服务等备赛工作。师生们与企业研发人员并肩作战、坚守岗位、加班加点，以过硬的专业素养和吃苦耐劳的精神，为天工家族取得辉煌成绩提供了有力支持。
The School of Mechanical and Electrical Engineering closely follows the fundamental task of fostering virtue through education, seizes opportunities in AI and industrial upgrading, strengthens industry-education integration, actively advances new engineering construction, and continuously improves core competitiveness of its programs. This summer, the school actively connected with Beijing Humanoid Robot Innovation Center, selecting dozens of outstanding students to participate in robot testing, data collection and validation, on-site services, and other preparation work. Teachers and students fought side by side with corporate R&D personnel, stayed at their posts, worked overtime, and with solid professional competence and hard-working spirit, provided strong support for the Tiangong family's brilliant achievements.
这件事的信息量不在感谢信本身，而在它折射出的一个具体环节，人形机器人比赛的备赛工作，需要大量学生参与机器人测试、数据采集与验证。前面讨论过机器人数据采集员的工作，他们通过穿戴设备演示动作来采集数据。也讨论过北京人形数据与训练基地，用专业团队和场地做数据采集和模型训练。这封感谢信里提到的学生参与环节，包括机器人测试、数据采集与验证、现场服务，正好对应了机器人研发链条里最基础也最需要人力的部分。高校学生参与这些工作，对企业来说是获得了一批廉价且有一定专业基础的人力，对学生来说是接触真实机器人研发流程的机会。这种校企合作模式，和前面讨论的浙大科技园孵化NEXFORM新元体、哈工深孵化若愚科技是同一个趋势的不同表现，高校正在成为具身智能产业的人才和人力供给方。
The information value of this matter is not in the thank-you letter itself but in a specific link it reflects—preparation work for humanoid robot competitions requires large numbers of students to participate in robot testing, data collection, and validation. Earlier we discussed robot data collectors' work, where they demonstrate actions via wearable devices to collect data. We also discussed Beijing Humanoid Data and Training Base using professional teams and venues for data collection and model training. The student participation links mentioned in this thank-you letter—robot testing, data collection and validation, on-site services—correspond exactly to the most basic and manpower-intensive parts of the robot R&D chain. University students participating in this work gives enterprises a batch of cheap manpower with some professional foundation, and gives students exposure to real robot R&D processes. This school-enterprise cooperation model, alongside the earlier discussed Zhejiang University Science Park incubating NEXFORM and HIT Shenzhen incubating Ruoyu Technology, are different manifestations of the same trend—universities are becoming talent and manpower suppliers for the embodied intelligence industry.
