02/03/2025, 05:28 AM UTC
训练无人机以实现安全导航Training Drones For Safe Navigation
➀ MIT的研究人员开发了一种训练多智能体系统的方法，确保其在拥挤环境中安全运行。这种方法通过训练少量代理可以自动扩展到更大的群体。
➁ 在现实世界的测试中，小型无人机成功地在飞行过程中切换位置，并降落在移动的车辆上。模拟确认了将这种训练应用于少数无人机后，可以扩展到数千个无人机。
➂ 该方法引入了GCBF+，一种新的多智能体系统安全导航方法。它通过考虑代理的感知半径并使用模拟来引导代理同时保持安全，简化了安全区域的计算。
➀ MIT engineers have developed a training method for multiagent systems that ensures safe operation in crowded environments. This method can automatically scale to larger groups by training a few agents.
➁ In real-world tests, small drones successfully switched positions midflight and landed on moving vehicles. Simulations confirmed that the same training, applied to a few drones, could be extended to thousands.
➂ The method introduces GCBF+, a new approach for ensuring safe navigation in multiagent systems. It simplifies the computation of safety zones by considering an agent’s sensing radius and using simulations to guide agents while maintaining safety.
---
本文由大语言模型（LLM）生成，旨在为读者提供半导体新闻内容的知识扩展（Beta）。
