autonomous system

简明释义

1. 独立系统; 2. 自主系统; 3. 自控系统; 4. 自给系统;

英英释义

例句

1.The military is increasingly using autonomous systems for surveillance and reconnaissance missions.

军方越来越多地使用自主系统进行监视和侦察任务。

2.In agriculture, autonomous systems like robotic harvesters can optimize crop yields with minimal human oversight.

在农业中，像机器人收割机这样的自主系统可以在最小人力监督下优化作物产量。

3.The delivery drone operates as an autonomous system, allowing it to navigate and deliver packages without human intervention.

这架送货无人机作为一个自主系统运行，使其能够在没有人工干预的情况下进行导航和送货。

4.An autonomous system in manufacturing can streamline production processes by adjusting operations based on real-time data.

制造业中的自主系统可以通过根据实时数据调整操作来简化生产过程。

5.Self-driving cars are a prime example of an autonomous system that can make real-time decisions on the road.

自动驾驶汽车是一个典型的自主系统，能够在路上实时做出决策。

作文

In recent years, the concept of an autonomous system has gained significant attention in various fields, including technology, transportation, and robotics. An autonomous system is a system capable of performing tasks without human intervention. This can range from simple automated processes to complex decision-making systems that can adapt to their environments. The rise of artificial intelligence (AI) has further propelled the development of autonomous systems, allowing them to learn from experiences and improve their performance over time.One of the most prominent examples of an autonomous system is self-driving cars. These vehicles utilize a combination of sensors, cameras, and AI algorithms to navigate roads, recognize obstacles, and make driving decisions. The potential benefits of autonomous systems in transportation are substantial, including reduced traffic accidents, increased efficiency, and improved accessibility for individuals unable to drive. However, there are also challenges that need to be addressed, such as ensuring safety, dealing with ethical dilemmas, and establishing regulatory frameworks.Beyond transportation, autonomous systems are increasingly being integrated into industries like manufacturing and agriculture. In manufacturing, robots equipped with autonomous systems can perform repetitive tasks with high precision and speed, leading to increased productivity and lower labor costs. In agriculture, drones with autonomous systems can monitor crop health, optimize irrigation, and even plant seeds, revolutionizing the way farming is conducted.The military sector has also seen significant advancements in autonomous systems. Unmanned aerial vehicles (UAVs), commonly known as drones, can carry out surveillance missions, deliver supplies, and even engage in combat operations without putting human lives at risk. While the use of autonomous systems in warfare raises ethical concerns, it also highlights the potential for reducing casualties and increasing operational efficiency.However, the proliferation of autonomous systems raises important questions about accountability and control. As these systems become more capable and independent, determining who is responsible for their actions becomes increasingly complex. For instance, if a self-driving car is involved in an accident, should the blame fall on the manufacturer, the software developers, or the owner of the vehicle? These questions underscore the need for clear guidelines and regulations surrounding the deployment of autonomous systems.Furthermore, there are societal implications to consider. The widespread adoption of autonomous systems could lead to job displacement in certain sectors, particularly those involving manual labor or routine tasks. It is crucial for policymakers to address these shifts by investing in education and training programs that prepare the workforce for the jobs of the future.In conclusion, autonomous systems represent a transformative force across multiple domains, offering numerous benefits while also introducing significant challenges. As we continue to explore the capabilities of autonomous systems, it is essential to strike a balance between innovation and responsibility. By fostering dialogue among stakeholders, including technologists, ethicists, and policymakers, we can ensure that the development of autonomous systems aligns with societal values and contributes positively to our world.

近年来，自主系统的概念在技术、交通和机器人等多个领域引起了广泛关注。自主系统是指能够在没有人类干预的情况下执行任务的系统。这可以从简单的自动化过程到能够适应环境的复杂决策系统不等。人工智能（AI）的崛起进一步推动了自主系统的发展，使它们能够从经验中学习并随着时间的推移提高性能。自驾车是自主系统最突出的例子之一。这些车辆利用传感器、摄像头和AI算法的组合来导航道路、识别障碍物并做出驾驶决策。自主系统在交通运输中的潜在好处是巨大的，包括减少交通事故、提高效率以及改善无法驾驶的个人的可达性。然而，也存在需要解决的挑战，如确保安全、处理伦理困境以及建立监管框架。除了交通运输，自主系统还越来越多地融入制造业和农业等行业。在制造业中，配备有自主系统的机器人可以以高精度和速度执行重复性任务，从而提高生产力并降低劳动成本。在农业中，配备有自主系统的无人机可以监测作物健康、优化灌溉，甚至播种，从而彻底改变农业的运作方式。军事领域也在自主系统方面取得了显著进展。无人驾驶航空器（UAV），通常被称为无人机，可以执行监视任务、运送物资，甚至在不危及人类生命的情况下参与战斗行动。虽然在战争中使用自主系统引发了伦理问题，但它也突显了减少伤亡和提高作战效率的潜力。然而，自主系统的普及引发了关于责任和控制的重要问题。随着这些系统变得越来越有能力和独立，确定谁对其行为负责变得越来越复杂。例如，如果一辆自动驾驶汽车发生事故，责任应该落在制造商、软件开发者还是车辆所有者身上？这些问题强调了在部署自主系统时需要明确的指导方针和法规。此外，还需要考虑社会影响。自主系统的广泛采用可能会导致某些行业的工作岗位流失，特别是在涉及体力劳动或例行任务的领域。政策制定者必须通过投资教育和培训项目来应对这些变化，以帮助劳动力为未来的工作做好准备。总之，自主系统在多个领域代表了一种变革力量，提供了众多好处，同时也带来了重大挑战。随着我们继续探索自主系统的能力，必须在创新与责任之间找到平衡。通过促进技术专家、伦理学家和政策制定者等利益相关者之间的对话，我们可以确保自主系统的发展符合社会价值观，并对我们的世界产生积极影响。