semiautonomous

简明释义

英[/ˌsɛm.i.ɔːˈtɒn.ə.məs/]美[/ˌsɛm.i.ɔːˈtɒn.ə.məs/]

adj. 半自治性的

英英释义

单词用法

同义词

反义词

例句

1.But the more serious threat comes from semiautonomous machines over which humans retain nothing more than last-ditch veto power.

但是更严重的威胁来自那些人类仅有最后一刻否决权的半自主机器。

2.But the more serious threat comes from semiautonomous machines over which humans retain nothing more than last-ditch veto power.

但是更严重的威胁来自那些人类仅有最后一刻否决权的半自主机器。

3.The robot operates in a semiautonomous 半自主的 mode, allowing it to make decisions based on its environment.

这台机器人在半自主的模式下运行，允许它根据环境做出决策。

4.Many modern vehicles are equipped with semiautonomous 半自主的 driving features that assist the driver.

许多现代车辆配备了半自主的驾驶功能，以帮助驾驶员。

5.The drone can fly in a semiautonomous 半自主的 state, where it follows pre-programmed routes but can adjust to obstacles.

这架无人机可以在半自主的状态下飞行，遵循预先编程的路线，但可以对障碍物进行调整。

6.In the lab, we are testing a semiautonomous 半自主的 system for monitoring environmental changes.

在实验室，我们正在测试一个用于监测环境变化的半自主的系统。

7.The semiautonomous 半自主的 robots in agriculture can perform tasks like planting and harvesting with minimal human intervention.

农业中的半自主的机器人可以在最小人力干预的情况下执行种植和收获等任务。

作文

In recent years, the concept of a semiautonomous system has gained significant attention across various fields, including robotics, artificial intelligence, and transportation. A semiautonomous entity is one that operates with a degree of independence but still relies on human oversight or intervention to function effectively. This duality makes semiautonomous systems particularly interesting as they blend the capabilities of automation with the need for human judgment. For instance, consider the development of self-driving cars. These vehicles are often labeled as semiautonomous because they can navigate and make driving decisions without human input under certain conditions. However, they still require a driver to take control in complex situations, such as heavy traffic or adverse weather conditions. This reliance on human intervention highlights the importance of maintaining a balance between automation and human oversight, ensuring safety and efficiency in the operation of semiautonomous vehicles. Furthermore, semiautonomous drones have emerged as another prime example of this technology. These aerial vehicles can perform tasks such as surveillance, package delivery, and agricultural monitoring while being controlled remotely by an operator. The operator can intervene if necessary, making the drone semiautonomous rather than fully autonomous. This model allows for greater flexibility and adaptability in various applications, as the operator can make real-time decisions based on changing circumstances. The implications of semiautonomous systems extend beyond transportation and robotics. In healthcare, for example, semiautonomous surgical robots assist surgeons during operations, providing precision and stability while allowing the surgeon to retain ultimate control over the procedure. This collaboration between human skill and robotic assistance exemplifies how semiautonomous technologies can enhance outcomes while mitigating risks associated with full automation. Moreover, the rise of semiautonomous systems raises important ethical and regulatory questions. As these technologies become more prevalent, society must grapple with issues related to accountability and decision-making. If a semiautonomous vehicle is involved in an accident, for instance, who is responsible—the manufacturer, the software developer, or the human operator? Addressing these questions will be crucial as we move forward with integrating semiautonomous systems into our daily lives. In conclusion, the concept of semiautonomous systems represents a significant advancement in technology, merging the strengths of automation with the necessity for human involvement. As we continue to develop and implement these systems, it is essential to strike a balance that maximizes efficiency while ensuring safety and accountability. The future of semiautonomous technologies holds great promise, but it also requires careful consideration of the ethical and practical implications that accompany their use.

近年来，半自主系统的概念在机器人技术、人工智能和交通运输等多个领域引起了广泛关注。半自主实体是指在一定程度上独立运作，但仍然依赖于人类监督或干预以有效运行的系统。这种双重性使得半自主系统特别引人注目，因为它们将自动化的能力与人类判断的需求相结合。 例如，考虑自驾车的发展。这些车辆通常被标记为半自主，因为它们可以在某些条件下无须人类输入而进行导航和做出驾驶决策。然而，它们仍然需要司机在复杂情况下（如重交通或不良天气条件）接管控制。这种对人类干预的依赖突显了在自动化与人类监督之间保持平衡的重要性，从而确保半自主车辆的安全和效率。 此外，半自主无人机也成为了这一技术的另一个典型例子。这些空中车辆可以执行监视、包裹投递和农业监测等任务，同时由操作员远程控制。如果有必要，操作员可以进行干预，使无人机变得半自主而非完全自主。这种模式在各种应用中提供了更大的灵活性和适应性，因为操作员可以根据变化的情况做出实时决策。 半自主系统的影响不仅限于交通和机器人技术。在医疗保健领域，例如，半自主外科机器人在手术过程中辅助外科医生，提供精确度和稳定性，同时允许外科医生对手术保持最终控制。这种人类技能与机器人辅助之间的合作示范了如何通过半自主技术提高结果，同时降低与完全自动化相关的风险。 此外，半自主系统的兴起引发了一系列重要的伦理和监管问题。随着这些技术变得越来越普遍，社会必须面对与责任和决策相关的问题。例如，如果一辆半自主车辆涉及事故，那么谁应该负责——制造商、软件开发者还是人类操作员？在我们继续将半自主系统融入日常生活时，解决这些问题至关重要。 总之，半自主系统的概念代表了技术的一项重大进步，将自动化的优势与人类参与的必要性相结合。随着我们继续开发和实施这些系统，确保最大化效率的同时确保安全和责任的平衡至关重要。半自主技术的未来充满希望，但它也需要仔细考虑伴随其使用的伦理和实际影响。