模力工场 新鲜事 模力工场将亮相 OceanBase 社区嘉年华！诚邀您加入我们的上海现场展位。作为 OceanBase 合作的创新社区，模力工场将于 1 月 31 日 登陆 上海社区嘉年华，并拥有专属展位。这不仅是一次技术交流——我们更希望和你一起，在现场用 AI Coding 展现创造力、在开放麦分享你的项目 故事、与行业先锋面对面切磋、在开源市集交换灵感。我们为你预留了专属席位，期待与你共同呈现：当开源精神遇上 AI 创造力，能碰撞出多少 令人惊艳的可能。立即报名，锁定与数百位技术同行深度连接的一天！ 活动流程 | 10:00-10:10 | 开场致辞 | | --- | --- | | | 杨传辉 | | | OceanBase CTO | | 10:10-10:25 | 路有你,OceanBase 社区 | | | 封仲淹 | | | OceanBase 开源生态总经理 | | 10:25-10:35 | 从 RAG 到 Context Engine | | | Al Agent 的数据基座 | | | 张颖峰 | | | RAGFlow Co-Founder | | 10:35-10:45 | D ...

Core Insights - The first World Humanoid Robot Games showcased the capabilities of humanoid robots in real-world applications, with Galaxy General winning the sorting skills competition through fully autonomous operation [1][4][6] Group 1: Competition Overview - The sorting skills competition involved 22 teams, with most relying on manual remote operation, while Galaxy General's team, Galbot, operated fully autonomously [4][6] - Galaxy General completed the competition in 10 minutes and 22 seconds, achieving a total score of 336 points, securing the championship [1][6] Group 2: Technical Challenges - The competition tested robots' abilities to handle a wide variety of complex and delicate pharmaceutical products, requiring high precision and stability in operations [4] - Galaxy General faced the challenge of sorting a particularly difficult product, erythromycin ointment, which is small and slender, completing the task in just 4 minutes and 25 seconds, well within the 20-minute limit [6] Group 3: Future Implications - The success in the sorting skills competition is seen as a starting point for Galaxy General, which aims to expand the application of autonomous robots in retail, industrial, and service sectors [6] - The company is focused on advancing embodied intelligence technology, positioning humanoid robots as a significant component of future productivity [6]

Group 1 - The conference titled "Empowering New Energy, Driving the Future" focused on the transformation of achievements by young scientists and the high-quality development of embodied intelligence, held in Shanghai with over a hundred young scientists and 130 entrepreneurs in attendance [1] - Wang He, an assistant professor at Peking University and founder of Galaxy General Robotics, emphasized the integration of various tasks into a unified embodied base model, which will facilitate the rapid deployment of robotics in retail, healthcare, and industrial scenarios [3] - The complexity of tasks in commercial and industrial settings was highlighted, with an example of Galaxy General Robotics autonomously moving tightly stacked boxes in a factory, showcasing the capabilities of robots in handling intricate operations [6] Group 2 - Wang He introduced a synthetic data asset for household environments, creating a high-precision operational model for various clothing types, which is the first globally to be trained entirely on synthetic big data, demonstrating excellent generalization capabilities even with unseen clothing types [6]