autonomous system

简明释义

自激系统

英英释义

例句

1.In self-driving cars, the software functions as an autonomous system that processes data from sensors in real-time.

在自动驾驶汽车中，软件作为一个自主系统，实时处理来自传感器的数据。

2.The new delivery drones operate as an autonomous system, allowing them to navigate without human intervention.

新型快递无人机作为一个自主系统运行，使它们能够在没有人工干预的情况下导航。

3.Robots in manufacturing plants often work as part of an autonomous system to increase efficiency and reduce labor costs.

制造工厂中的机器人通常作为一个自主系统的一部分工作，以提高效率并降低劳动成本。

4.Smart home devices can be integrated into an autonomous system that manages energy consumption automatically.

智能家居设备可以集成到一个自主系统中，自动管理能源消耗。

5.The military is investing heavily in autonomous systems for surveillance and reconnaissance missions.

军方正在大量投资于用于监视和侦察任务的自主系统。

作文

In recent years, the term autonomous system has gained significant attention in various fields, including robotics, artificial intelligence, and transportation. An autonomous system refers to a system capable of performing tasks without human intervention, relying on its own decision-making abilities. This concept has revolutionized how we approach complex problems and has opened up new possibilities for innovation and efficiency.One of the most notable examples of an autonomous system is self-driving cars. These vehicles utilize a combination of sensors, cameras, and machine learning algorithms to navigate roads and make real-time decisions. The development of autonomous systems in transportation aims to reduce accidents caused by human error, improve traffic flow, and enhance mobility for individuals who cannot drive. As technology continues to advance, we can expect to see more autonomous systems integrated into our daily lives, transforming the way we travel.Another area where autonomous systems are making a significant impact is in manufacturing. Robotics equipped with autonomous systems can perform repetitive tasks with high precision and efficiency. These robots can work alongside human workers, taking over dangerous or monotonous tasks, thereby increasing productivity and safety in the workplace. Companies that adopt autonomous systems in their operations often experience reduced costs and improved output, leading to greater competitiveness in the market.In addition to transportation and manufacturing, autonomous systems are also being explored in agriculture. Drones equipped with autonomous systems can monitor crop health, assess soil conditions, and even apply fertilizers or pesticides with minimal human oversight. This technology not only enhances agricultural productivity but also promotes sustainable farming practices by reducing the need for harmful chemicals and optimizing resource usage.Despite the numerous benefits of autonomous systems, there are also challenges and concerns associated with their implementation. One major issue is the ethical implications of allowing machines to make decisions that could affect human lives. For instance, in the case of self-driving cars, how should the vehicle respond in a situation where an accident is unavoidable? These questions highlight the importance of developing robust ethical frameworks and regulations to guide the use of autonomous systems in society.Moreover, there are concerns about job displacement as autonomous systems become more prevalent. While these systems can increase efficiency, they may also lead to a reduction in the demand for certain types of jobs. It is crucial for policymakers and industry leaders to address these challenges by investing in education and training programs that prepare the workforce for a future where autonomous systems play a significant role.In conclusion, autonomous systems represent a transformative force across various sectors, offering the potential for increased efficiency, safety, and innovation. As we continue to explore the capabilities of these systems, it is essential to consider the ethical, social, and economic implications they bring. By doing so, we can harness the power of autonomous systems while ensuring a positive impact on society as a whole.

近年来，术语自主系统在机器人技术、人工智能和交通等多个领域引起了广泛关注。自主系统指的是能够在没有人类干预的情况下执行任务的系统，它依赖于自身的决策能力。这个概念彻底改变了我们处理复杂问题的方式，并为创新和效率开辟了新的可能性。最显著的例子之一是自动驾驶汽车。这些车辆利用传感器、摄像头和机器学习算法的组合来导航道路并进行实时决策。在交通运输中开发自主系统的目标是减少因人为错误造成的事故，提高交通流量，并增强无法驾驶的个人的出行能力。随着技术的不断进步，我们可以期待看到更多的自主系统融入我们的日常生活，改变我们的出行方式。另一个自主系统产生重大影响的领域是制造业。配备有自主系统的机器人可以以高精度和效率执行重复性任务。这些机器人可以与人类工人一起工作，接管危险或单调的任务，从而提高工作场所的生产力和安全性。采用自主系统的公司通常会经历成本降低和产出改善，从而在市场上获得更强的竞争力。除了交通和制造业，自主系统在农业中也得到了探索。配备有自主系统的无人机可以监测作物健康、评估土壤状况，甚至在最小的人类监督下施用肥料或农药。这项技术不仅提高了农业生产力，还通过减少对有害化学品的需求和优化资源使用，促进了可持续农业实践。尽管自主系统带来了众多好处，但其实施也面临挑战和担忧。一个主要问题是允许机器做出可能影响人类生命的决策的伦理影响。例如，在自动驾驶汽车的情况下，车辆应该如何应对不可避免的事故？这些问题突显了制定健全的伦理框架和法规以指导自主系统在社会中使用的重要性。此外，随着自主系统的普及，人们对就业岗位被取代的担忧也在增加。虽然这些系统可以提高效率，但它们也可能导致某些类型工作的需求减少。政策制定者和行业领导者必须通过投资教育和培训项目来解决这些挑战，以为未来的劳动力做好准备，使其能够适应自主系统发挥重要作用的局面。总之，自主系统代表了各个行业的一种变革力量，提供了提高效率、安全性和创新潜力的可能性。在我们继续探索这些系统的能力时，考虑它们带来的伦理、社会和经济影响至关重要。通过这样做，我们可以利用自主系统的力量，同时确保对整个社会产生积极的影响。