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Jang Mi-ran case leaves Korea asking how to handle missing adults_我的网站

A |     Most missing adults are found quickly, but gaps in the system can have deadly consequences                   Police search for Jang Mi-ran, a 37-year-old reported missing in May, at a palm farm in Hallim-eup, Jeju Island. Jang was found dead Monday. (Yonhap)The death of Jang Mi-ran after her missing-person case was allegedly closed on false grounds has renewed scrutiny of South Korea’s system for finding missing adults.South Korea tracks missing-person reports involving adults, but ordinary adult cases are not covered by the same legal framework that allows nationwide alerts, certain forms of location tracking and DNA testing for children, people with specified disabilities and people with dementia.More than 70,000 adults were reported missing each year between 2022 and 2025. Most cases were resolved quickly, with 89.4 percent closed within a day last year and 99 percent within a month, according to National Police Agency data.Of the 70,591 adult missing-person cases closed in 2025, 931 involved people who were found dead.Jang’s case has drawn attention to what can happen when a case is closed before a missing person’s safety has been confirmed.A Jeju police officer surnamed Bu is accused of falsely telling Jang’s boyfriend and family that she was safe but did not want to be found. Police have said they found no records showing that Bu contacted her.Bu is accused of making a similar false claim in another missing-person case involving a man in his 60s, who was also later found dead.The cases have revived a long-running debate over whether police need stronger legal authority to search for missing adults, and how far those powers should extend without infringing on privacy.Gaps in adult casesJang’s cousin reportedly went to Seoul’s Nowon Police Station on July 19 to request another search for her, about two months after Bu allegedly told the family that Jang had been contacted and was safe.Nowon officials reportedly questioned whether Jang, as an adult, might simply have left voluntarily.The high rate of quick case closures has raised concern that some adult cases are treated as routine disappearances. Bu handled and closed 298 missing-person cases during roughly 17 months on a missing-person team.Meanwhile, the number of cases ending in death is not insignificant. Between 2016 and 2025, 13,639 missing adults were eventually found dead, an average of about 1,364 a year. Thousands of long-term cases also remain unsolved.                   Police search for Jang Mi-ran, a 37-year-old reported missing in May, at a harbor in Jeju Island. Jang was found dead on Monday. (Yonhap)Police have fewer tools in ordinary adult cases.Nationwide missing-person alerts are generally sent out only for minors, people with certain disabilities and people with dementia. Of the 3,126 people found last year under that system, 696, or 22.3 percent, were located after reports from members of the public who had seen an alert.Police searches and investigations accounted for 39.2 percent of discoveries, according to a report jointly submitted by the National Police Agency and the Ministry of Health and Welfare.Ordinary missing adults generally do not qualify for such alerts.Police have used DNA testing since 2004 to identify missing children and other eligible groups. Ordinary adult cases are not covered by the same DNA collection and comparison framework.The scale of adult disappearances is also larger. About 70,800 adult missing-person reports were filed in 2025, more than twice the roughly 29,600 involving children.Legislative pushSouth Korea enacted the Act on the Protection and Support of Missing Children and Others in 2005, establishing the legal basis for many of the search tools used today. There is no equivalent comprehensive law for ordinary missing adults.Lawmakers have made repeated attempts to fill that gap.A bill proposed in 2024 by Rep. Lim Ho-seon of the Democratic Party of Korea would establish a separate information system for missing adults and give police clearer authority to obtain location and travel information.The proposal remains pending at the National Assembly alongside similar bills.Supporters argue that broader powers could help police act more quickly when an adult is in danger. Opponents warn that the same powers could be used to track people who have deliberately chosen to leave home or cut off contact.Adults generally have the right to decide where they live and whom they remain in contact with, making the issue more complicated than cases involving children or vulnerable people.Police can already obtain location information in some cases involving signs of imminent danger. The unresolved question is whether that authority should be expanded for missing adults more broadly.。    　　北京8月23日电 题：破题具身智能“数据荒” 北京中关村机器人“训练基地”揭秘　　作者 牛琳 裴拓 覃纤睿 祝亦奕　　在中关村(海淀)具身智能创新产业园·诺亦腾机器人跨本体数采训练中心(以下简称“数采训练中心”)的商超标准货架空间，工作人员佩戴VR眼镜，手握操控手柄，遥控机器人完成从货架上抓取货物等动作。　　“抓握成功后，后台模型会记录本次操作的力度和关节角度。”诺亦腾机器人科技(北京)有限公司(以下简称“诺亦腾机器人”)高级技术经理冯劼说，积累足够多的动作样本，才会消除力度、角度等差异带来的误差，从而形成有效数据。

B | 　　作为全国首家以“具身智能”命名的特色产业园，中关村(海淀)具身智能创新产业园与诺亦腾机器人合作，依托诺亦腾机器人在人本数据采集、多模态感知、跨本体遥操作及机器人数据生产等领域的技术积累，联合共建了机器人跨本体数据采集训练中心，为具身智能等相关企业提供真实场景下的数据采集和训练服务。7月28日，中关村(海淀)具身智能创新产业园·诺亦腾机器人跨本体数采训练中心内，技术人员正在调试机器人。　覃纤睿 摄　　数采训练中心堪称一座机器人“训练基地”，在这里，家居、商超、工厂、办公等场景被一比一复刻，机器人在工作人员手把手教授下，学习真实世界的劳作方式。在此过程中，依托高精度的数据采集系统，真实场景中的姿态、力度、轨迹等动作数据被敏锐捕捉并记录下来，之后这些数据被转化为机器人学习人类技能的“养料”。

C | 　　“机器人的每一次自主识别、判断与操作，都依赖数据收集、算法训练、模型部署与场景验证。”诺亦腾机器人售前技术支持胡同杰表示，优质数据集的积累是整个行业持续发展的根基。　　在数采训练中心，除真机遥控外，数据采集还采用不依赖机器人本体的采集方式。

D | 工作人员头戴轻量化相机，经由光学摄像头追踪动捕服上的标记点，同时由惯性传感器记录身体各部位的转动与加速度，将人的视野、动作及交互习惯转化为机器人可识别的“数据课本”。

E | 　　针对精细任务，数采训练中心设有高精度光学动捕笼式空间，内置20余台400万像素红外摄像头，工作波长850纳米，精度达到亚毫米级。配套手套上嵌有3毫米标记点与压力传感器。

F | 　　“戴上手套，就相当于有了人手的运动信息。”冯劼解释道，在抓放、翻折物体的过程中，系统同步记录手指的弯曲角度、接触位置和抓握力度，并配合第一视角和第三视角视频，将多源数据时码对齐，完整还原人手与物体交互的过程。

G | 　　冯劼说，不同任务的训练要求不尽相同。简单的动作，通常需要3天至5天的数据采集；舞蹈、武术等高难度动作，则需专业人士到场反复示范，周期可达数周乃至数月；而高精度人手交互数据，则采集难度更高。

H | 　　“目前，具身智能产业发展面临‘数据荒’。”冯劼说，中国在机器人本体方面已具备较强制造能力，下一阶段的突破将更多集中于模型端，而“模型的上限，取决于数据的质量与规模”。　　胡同杰也表示，具身智能的应用方向正在从工业场景逐渐向民用和商用领域扩展，数据正成为制约具身智能泛化能力突破和规模化落地的核心瓶颈。　　“真正有价值的数据不应长期依赖人工搭建的场景。”胡同杰说，未来会出现更简易的数据收集设备，数据采集将走进真实工作与生活场景。

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