1.【小米生态链企业轻美科技洗碗机智能制造项目开工】据"苏州发布"公众号消息，10月24日，小 米生态链企业轻美科技洗碗机智能制造项目开工，小米生态链企业小贝科技个护小家电智能制造项目 签约等系列活动在张家港高新区（塘桥镇）举行。据介绍，轻美科技洗碗机智能制造项目总投资5亿 元，规划年产洗碗机50万台；小贝科技个护小家电智能制造项目总投资5亿元，全部达产后预计年产 能达1500万台。（新浪科技） 2.【苹果扩大印度 AirPods 产量，富士康计划将月产能翻倍至 20 万部】据印度《经济时报》今日报 道，苹果公司正加速在印度的配件生产，印度富士康 FIT 工厂计划将 AirPods 月产量翻倍，并在未 来数月内显著扩大员工规模。 据称，富士康位于孔加拉卡兰（ Kongara Kalan ）的工厂计划将月产 量从目前的 10 万部提升至 20 万部。为此，工厂将改造现有的五条组装线，并引入来自越南工厂的 部分生产设备和工具。 该工厂目前约有 2000 名员工，于今年 4 月正式开始生产 AirPods （主要包 括 AirPods 4 和 AirPods Pro 3 两款型号），预计未来 6 至 8 个月内人数 ...

由智元机器人联合OpenDriveLab举办的机器人挑战赛——AGIBOT World Challenge线下决赛在杭州 IROS正式落幕。最终，清华大学联合上海AI Lab的AIR-DREAM团队凭借出色的综合表现夺得总冠军， 华南理工大学与香港大学团队分获二、三名。除比赛之外，智元在此次IROS上也展示了精灵系列、灵 犀x2、远征A2等产品线。其中，精灵-G2是16号发布以来的首次公开亮相。（量子位） ...

Core Insights - The AGIBOT World Challenge, organized by Zhiyuan Robotics and OpenDriveLab, concluded successfully in Hangzhou during IROS, showcasing intense competition among top global teams in various physical tasks [2][4][48] - The AIR-DREAM team from Tsinghua University and Shanghai AI Lab won the championship, while South China University of Technology and the University of Hong Kong secured the second and third places respectively [4][10][50] Competition Overview - The competition featured 11 elite teams from around the world, competing in six real-world physical tasks such as object manipulation, dynamic sorting, and kitchen operations [4][6][19] - The event aimed to test the operational precision and generalization capabilities of embodied intelligent systems [6][19] Task Details - Each team performed 10 attempts per task, with scores averaged for the final results, using the UniVLA baseline model [20] - The six tasks included: - **Pack groceries**: Teams had 90 seconds to grab three snacks and place them in a bag, with a maximum score of 6 points [22][24] - **Pack items from conveyor**: In 90 seconds, teams needed to identify and grab items from a moving conveyor, also scoring up to 6 points [26][29] - **Fold short sleeves**: Teams had 150 seconds to fold clothing, with a maximum score of 4 points [30][32] - **Microwave the food**: This task involved a series of steps to operate a microwave within 150 seconds, scoring up to 6 points [35][37] - **Restock the hanging area**: Teams had 60 seconds to place items on shelves, scoring up to 2 points [39][41] - **Pour water**: In 60 seconds, teams had to pour a specified amount of water, with a maximum score of 4 points [43][45] Technical Insights - The AIR-DREAM team introduced the X-VLA model, a scalable and simplified visual-language-action model that addresses challenges in heterogeneous robot data [11][13] - The second-place team shared strategies for achieving high success rates with limited computational resources, focusing on quick fine-tuning of pre-trained models [15] - The third-place team utilized a pre-trained model and a simulation platform for data generation and parallel reinforcement learning, achieving efficient technical solutions in a short timeframe [17] Event Highlights - The AGIBOT World Challenge featured a total prize pool of $560,000, with the manipulation track offering $60,000, and the champion team receiving $10,000 [48][51] - The event also highlighted the launch of the new "archery" robot, the Spirit G2, which was showcased for the first time at IROS [53]