autonomous system

简明释义

自供系统

英英释义

例句

1.In agriculture, farmers are using autonomous systems to monitor crop health and optimize irrigation.

在农业中，农民正在使用自主系统来监测作物健康并优化灌溉。

2.Self-driving cars rely on complex autonomous systems to make real-time driving decisions.

自动驾驶汽车依赖复杂的自主系统来做出实时驾驶决策。

3.Many drones operate as autonomous systems, allowing them to carry out tasks such as surveying and mapping without a pilot.

许多无人机作为自主系统运行，使它们能够在没有飞行员的情况下执行测量和制图等任务。

4.The delivery robot is an example of an autonomous system that can navigate through city streets without human intervention.

送货机器人是一个例子，它是一个可以在城市街道上自主导航的自主系统，无需人工干预。

5.The factory uses autonomous systems for robotic assembly, increasing efficiency and reducing human error.

工厂使用自主系统进行机器人组装，提高效率并减少人为错误。

作文

In recent years, the concept of an autonomous system has gained significant attention across various fields, including robotics, transportation, and artificial intelligence. An autonomous system refers to a system that can operate independently, making decisions based on its environment without human intervention. This capability is primarily achieved through advanced algorithms, sensors, and machine learning techniques that allow the system to perceive its surroundings and respond appropriately. The rise of autonomous systems is particularly evident in the automotive industry, where self-driving cars are being developed and tested. These vehicles utilize a combination of cameras, radar, and lidar to navigate roads and avoid obstacles. The implications of such technology are profound, as it promises to enhance road safety by reducing human error, which is a leading cause of accidents. Moreover, autonomous systems can optimize traffic flow, reduce congestion, and improve fuel efficiency, contributing to a more sustainable transportation model.In addition to transportation, autonomous systems are also making waves in the field of robotics. For instance, drones equipped with autonomous systems are now used for various applications, from delivering packages to conducting search-and-rescue missions. These drones can analyze data in real-time, allowing them to adapt to changing conditions and make informed decisions. This versatility showcases the potential of autonomous systems to revolutionize industries by performing tasks that are dangerous or impractical for humans.Despite the numerous benefits, the implementation of autonomous systems raises ethical and regulatory challenges. For example, who is responsible if an autonomous system makes a mistake that results in harm? This question is particularly relevant in the context of self-driving cars, where accidents could lead to serious injuries or fatalities. Additionally, there are concerns about privacy and data security, as these systems often rely on vast amounts of data to function effectively.Furthermore, as autonomous systems become more prevalent, there is a growing need for a workforce skilled in managing and maintaining these technologies. Educational institutions are beginning to adapt their curricula to meet this demand, offering programs that focus on robotics, artificial intelligence, and systems engineering. As a result, the future job market will likely see a shift towards roles that require expertise in autonomous systems, creating new opportunities and challenges for workers.In conclusion, the development of autonomous systems presents a transformative opportunity across multiple sectors. While they hold the promise of increased efficiency, safety, and innovation, it is crucial to address the ethical and practical challenges that accompany their deployment. As we continue to explore the potential of autonomous systems, society must engage in thoughtful discussions about how to integrate these technologies responsibly and effectively. The future of autonomous systems is not just about technological advancement but also about ensuring that these advancements benefit humanity as a whole.

近年来，自主系统的概念在机器人技术、交通运输和人工智能等多个领域引起了广泛关注。自主系统是指能够独立运行的系统，能够根据环境做出决策，而无需人类干预。这种能力主要通过先进的算法、传感器和机器学习技术来实现，使系统能够感知其周围环境并做出适当反应。自主系统的兴起在汽车工业中尤为明显，自动驾驶汽车正在开发和测试中。这些车辆利用相机、雷达和激光雷达的组合来导航道路和避开障碍物。这项技术的影响深远，因为它承诺通过减少人为错误来提高道路安全性，而人为错误是导致事故的主要原因。此外，自主系统可以优化交通流量、减少拥堵并提高燃油效率，从而有助于实现更可持续的交通模式。除了交通运输，自主系统在机器人领域也取得了显著进展。例如，配备了自主系统的无人机现在被用于各种应用，从包裹投递到进行搜索与救援任务。这些无人机能够实时分析数据，使其能够适应变化的条件并做出明智的决策。这种多功能性展示了自主系统在革命性行业中的潜力，可以执行对人类来说危险或不切实际的任务。尽管有众多好处，自主系统的实施也带来了伦理和监管挑战。例如，如果自主系统出现错误导致伤害，谁应该负责？这个问题在自动驾驶汽车的背景下尤为相关，因为事故可能导致严重的伤害或死亡。此外，还有关于隐私和数据安全的担忧，因为这些系统通常依赖大量数据才能有效运作。此外，随着自主系统的普及，对能够管理和维护这些技术的劳动力的需求也在不断增长。教育机构开始调整课程以满足这一需求，提供专注于机器人技术、人工智能和系统工程的项目。因此，未来的就业市场可能会看到对需要自主系统专业知识的角色的转变，为工人创造新的机会和挑战。总之，自主系统的发展在多个领域提供了变革性的机会。虽然它们承诺提高效率、安全性和创新，但关键是要解决伴随其部署的伦理和实际挑战。在我们继续探索自主系统的潜力时，社会必须进行深思熟虑的讨论，以确保这些技术的负责任和有效整合。自主系统的未来不仅关乎技术进步，还关乎确保这些进步惠及全人类。