homing phase

简明释义

自动寻的阶段

英英释义

例句

1.During the rocket's flight, it entered the homing phase 归航阶段 where it adjusted its trajectory to target the landing zone.

在火箭飞行过程中，它进入了homing phase 归航阶段，调整了其轨迹以瞄准着陆区。

2.In the homing phase 归航阶段, the submarine adjusted its depth to avoid detection while returning to base.

在homing phase 归航阶段，潜艇调整了其深度以避免被发现，同时返回基地。

3.As the aircraft approached the airport, it initiated the homing phase 归航阶段 to align with the runway.

当飞机接近机场时，它启动了homing phase 归航阶段以与跑道对齐。

4.The missile's homing phase 归航阶段 involved locking onto the target's heat signature for precision strike.

导弹的homing phase 归航阶段涉及锁定目标的热量特征以实现精准打击。

5.The drone successfully completed its homing phase 归航阶段 by following the GPS coordinates back to the launch site.

无人机通过遵循GPS坐标成功完成了它的homing phase 归航阶段，返回发射地点。

作文

In the realm of robotics and artificial intelligence, the concept of the homing phase plays a critical role in navigation and positioning. The homing phase refers to the stage where a robot or autonomous vehicle transitions from a state of exploration or random movement to a focused approach towards a specific target or destination. This phase is essential for ensuring that the system can effectively locate and reach its intended goal, whether it be a charging station, a designated area, or a particular object. Understanding the homing phase involves delving into various technologies and methodologies used in robotics. For instance, many robots utilize sensors such as GPS, ultrasonic, or infrared to gather data about their surroundings. During the exploration phase, the robot collects information about obstacles, terrain, and potential pathways. Once sufficient data is gathered, the robot enters the homing phase, where it processes this information to determine the most efficient route to its target. The significance of the homing phase is not limited to just physical robots. In software applications, particularly those involving machine learning and artificial intelligence, the homing phase can be seen as a metaphorical representation of a system's ability to refine its focus and improve its decision-making capabilities over time. For example, an AI algorithm might start with a broad search across a dataset but gradually narrow its focus to identify patterns or insights that are most relevant to its objectives. Moreover, the homing phase is crucial in enhancing the efficiency and effectiveness of robotic systems. By optimizing the transition from exploration to targeted action, developers can reduce energy consumption and increase the speed at which robots complete their tasks. This is particularly important in applications such as delivery drones, where time and resource management are paramount. As technology continues to advance, the homing phase will likely evolve as well. Innovations in artificial intelligence and machine learning are enabling robots to make more complex decisions and adapt to dynamic environments. For instance, a robot equipped with advanced algorithms may be able to adjust its homing phase strategy in real-time based on changing conditions, such as the appearance of new obstacles or alterations in the target location. In conclusion, the homing phase is a fundamental aspect of robotics and AI that highlights the importance of navigation and targeted action. As we continue to explore the possibilities of autonomous systems, understanding and improving the homing phase will be essential for creating more intelligent and efficient machines. Whether in a physical or metaphorical context, the ability to home in on a target is a skill that will define the future of technology and innovation.

在机器人技术和人工智能的领域中，homing phase的概念在导航和定位中扮演着至关重要的角色。homing phase 是指机器人或自主车辆从探索或随机运动状态转变为集中朝向特定目标或目的地的阶段。这个阶段对于确保系统能够有效地定位并到达其预期目标至关重要，无论是充电站、指定区域还是特定物体。理解homing phase涉及深入探讨机器人使用的各种技术和方法。例如，许多机器人利用GPS、超声波或红外等传感器收集周围环境的数据。在探索阶段，机器人收集有关障碍物、地形和潜在路径的信息。一旦收集到足够的数据，机器人就进入homing phase，在此阶段，它处理这些信息以确定到达目标的最有效路线。homing phase的重要性不仅限于物理机器人。在涉及机器学习和人工智能的软件应用中，homing phase可以被视为系统逐渐聚焦并随着时间推移改善决策能力的隐喻。例如，一个AI算法可能开始时在数据集中进行广泛搜索，但逐渐缩小焦点，以识别与其目标最相关的模式或见解。此外，homing phase对于提高机器人系统的效率和有效性至关重要。通过优化从探索到目标行动的过渡，开发者可以减少能耗并增加机器人完成任务的速度。这在如配送无人机等应用中尤为重要，因为时间和资源管理至关重要。随着技术的不断进步，homing phase也可能会随之发展。人工智能和机器学习的创新使机器人能够做出更复杂的决策并适应动态环境。例如，配备先进算法的机器人可能能够根据变化条件实时调整其homing phase策略，例如出现新的障碍物或目标位置的变化。总之，homing phase是机器人技术和人工智能的一个基本方面，突显了导航和目标行动的重要性。随着我们继续探索自主系统的可能性，理解和改善homing phase将对创造更智能、更高效的机器至关重要。无论是在物理还是隐喻的背景下，能够锁定目标的能力都是定义未来技术和创新的技能。