美国华盛顿州西雅图——从乌克兰到中东，无人机和其他无人系统正日益显著地参与现代战争。各国正迅速竞相将人工智能技术融入日常军事行动，以消除人员风险，同时提高战场整体效率。这一发展有一个例子就发生在华盛顿州西雅图。
SEATTLE, Wa - From Ukraine to the Middle East, drones and other unmanned systems are playing an increasingly visible role in modern warfare. Nations are quickly competing to integrate AI tech into everyday military operations to eliminate human risk while improving overall efficiency in the field.
6月下旬，国防科技公司Overland AI宣布，已获得美国海军陆战队一份价值约2000万美元的生产合同，用于采购自主无人地面车辆（AUGV），预计将于2027年初交付。
One example of that development is based in Seattle, Washington. Late June, defense-tech company Overland AI announced it had secured a roughly $20 million dollar production contract with the U.S. Marine Corps for autonomous unmanned ground vehicles, or AUGVs, with delivery expected in early 2027.
美国与中国正在争夺人工智能的未来——芯片才是战场 “这是海军陆战队对我们现有技术已能够执行任务的信任投票，”Overland AI联合创始人兼首席运营官格雷格·奥科帕尔说。
AMERICA AND CHINA ARE FIGHTING FOR THE FUTURE OF AI - CHIPS ARE THE BATTLEFIELD "This is a vote of confidence from the Marines that the technology that we have is ready for the mission," said Greg Okopal, Co-Founder and COO of Overland AI.
美国海军陆战队向FOX表示，其目标是利用这些车辆执行运送弹药和物资等任务，同时降低海军陆战队人员面临的风险。
The Marine Corps tells FOX the goal is to use the vehicles for missions such as moving ammunition and supplies while reducing risk to Marines.
该合同通过五角大楼的“加速采购和部署创新技术”（APFIT）项目授予，并采用生产型“其他交易协议”（OTA）。APFIT于2022财年启动，旨在帮助经过验证的技术更快投入军事使用。该项目旨在加快生产并缩短采购流程，从本质上帮助减少一些繁文缛节的阻碍。
The award came through APFIT, the Pentagon’s Accelerate the Procurement and Fielding of Innovative Technologies program, using a production Other Transaction Agreement, or OTA. APFIT was started in fiscal year 2022 to help move proven technologies into military use faster. The program is designed to speed up production and shorten the procurement process, essentially helping cut through some of the red tape.
这项技术正在开发中，用于支援海军陆战队防空一体化系统（MADIS）。该系统最初侧重于在 contested environments 环境下提供自主物流支持，包括弹药补给。奥科帕尔表示，Overland的工作属于海军陆战队地面防空项目的一部分，“这实际上是一套种类繁杂的车载传感器和效应器，能够抵御各种无人航空系统（UAS）和其他空中威胁。”但为什么要投资地面自主系统？
The tech is being developed to support the Marine Air Defense Integrated System, or MADIS, designed initially to focus on autonomous logistics, including ammunition resupply, in contested environments. Okopal says Overland’s work falls under the Marine Corps’ ground-based air defense program, "...which is really sort of a disparate array of vehicle-mounted sensors and effectors that can protect from various UAS (Unmanned Aerial System) and other airborne threats." But why the investment in ground autonomy?
Overland AI 认为，尽管空中无人机和其他无人系统在战场上的作用日益重要，但“战争仍然是在地面上取胜的。”在谈到无人或自主地面车辆日益增长的作用时，Overland AI 幕僚长克里斯·麦茨（Chris Merz）以乌克兰为例，称该技术正越来越多地被用于战斗。
Overland AI argues while aerial drones and other unmanned systems have become increasingly important on the battlefield, "wars are still won on the ground." Describing the growing role of unmanned or autonomous ground vehicles, Overland AI Chief of Staff Chris Merz pointed to Ukraine, where he says the technology is being used more and more for combat.
“他们最初将其用于后勤保障，但你会越来越看到它们被用于作战行动，用于夺取和守住阵地……我真的认为这是无人和自主地面车辆未来的应用方向，我们将在未来的冲突中更多地看到这一点。”与远程操控的地面车辆不同，Overland 的系统旨在完全自主地导航和执行任务，无需人类持续操纵车辆甚至进行远程控制。“我们的车辆，你给它们指派任务，点击执行，无论你是否与它们保持通信，无论你是否在关注它们，这些车辆都会执行该任务，它们是完全自主的，”奥科帕尔解释说。
"They started with using them for sustainment but increasingly you're seeing them used in combat operations, taking and holding terrain…I really think that is the future application of uncrewed and autonomous ground vehicles and we'll start to see that more in future conflicts." Unlike remotely operated ground vehicles, Overland's system is designed to navigate and execute missions fully autonomously, without a human continuously steering the vehicle or even controlling it remotely. "Our vehicles, you task them with a mission, you press execute, those vehicles will execute that mission whether you have communications with them or not, whether you're paying attention to them or not, they are fully autonomous," Okopal explained.
Overland 表示，其车辆还能够在视距之外和无 GPS 环境下运行，即使在通信中断的情况下也能执行指派的任务。“现在所有的战场都是电子对抗环境，对吧？因此你不能指望完全依靠远程通信来完成任务，”奥科帕尔解释说。
Overland says its vehicles can also operate beyond the line of sight and in GPS-denied environments, executing an assigned mission even when communications are unavailable. "All battlefields now are electronic, contested environments, right? So you cannot necessarily rely on distant comms to complete your mission," Okopal explained.
特朗普将人工智能重新命名为“超级智能”，并拒绝“全球主义者”的控制计划 这些车辆旨在感知周围环境并穿越越野地形，包括沟渠、斜坡和巨石等障碍。该技术背后的 AI 技术并非仅关注单一的方向控制能力，而是更聚焦于任务本身。例如，可以为整个车队编程，执行在特定坐标周围建立监视和侦察、管理威胁响应等任务。
TRUMP RENAMES AI ‘SUPERINTELLIGENCE,’ REJECTS ‘GLOBALIST’ CONTROL PLAN The vehicles are designed to perceive their surroundings and navigate off-road terrain, including obstacles such as ditches, inclines and boulders. Rather than solely directional focused capabilities, the AI technology behind it is more mission focused. For example, an entire fleet of vehicles can be programmed with the mission to establish surveillance and reconnaissance around specific coordinates, manage threat response, etc.
“最重要的是要确保海军陆战队和陆军士兵的安全，让他们脱离危险，”奥科帕尔解释道。海军陆战队向 FOX 电视台发表了以下声明：“美国海军陆战队地面防空项目负责人（PM GBAD）已与 Overland AI 公司签订了‘其他交易授权协议’（OTA Agreement），委托该公司研发和采购自主式无人地面车辆（AUGVs）。这些车辆专为在充满挑战性的沿海地区及分散式作战环境中维护‘海军陆战队防空集成系统’（MADIS）而设计，通过自动化弹药补给来弥补后勤保障方面的不足，从而降低作战人员的风险。虽然目前的研发重点是通过基于人工智能的弹性网络实现自主化的后勤物资配送，但未来的技术发展将进一步整合模块化传感器及执行装置，以增强对无人飞行器（UAS）、旋翼机及低空固定翼飞行器的探测、跟踪、识别和打击能力。”
"The very important thing is getting Marines and soldiers for the Army as well out of danger," Okopal explained. The Marine Corps shared this statement with FOX: "The U.S. Marine Corps Program Manager Ground-Based Air Defense (PM GBAD) has awarded an Other Transaction Authority (OTA) agreement to Overland AI to develop and procure Autonomous Unmanned Ground Vehicles (AUGVs). Designed to sustain the Marine Air Defense Integrated System (MADIS) family of systems across contested littoral and distributed operating environments, these AUGVs bridge the 'last tactical mile' logistics gap by automating ammunition resupply and reducing risk to warfighters. While initial efforts focus on autonomous logistics distribution via resilient, AI-driven networks, future capability spirals will integrate modular sensor packages and effectors to extend the active detection, tracking, identification, and defeat of unmanned aerial systems (UAS), rotary-wing aircraft, and low-altitude fixed-wing threats."