Efficient strategies for visually guided flight: from insects to drones

在充满障碍物的真实的环境中飞行是限制空中机器人技术扩散的主要挑战，但飞行昆虫（如蜜蜂）轻松完成这项任务。该项目将寻求揭示昆虫为处理杂乱而实施的基于视觉的飞行控制策略。这些将用于开发用于微型机器人系统的传感器和信息处理框架，这将使它们能够在复杂的环境中自主导航，即使GPS定位被拒绝。这种能力将扩大小型自动驾驶车辆的操作领域和潜在应用，同时提高我们对昆虫运动的了解。

Flying in real environments, that are densely cluttered with obstacles, is a major challenge limiting the proliferation of aerial robotic technology yet flying insects such as honeybees accomplish this task with ease. This project will seek to uncover the salient vision-based flight-control strategies implemented by insects to deal with clutter. These will be used to develop sensory and information processing frameworks for implementation in miniature robotic systems which will allow them to navigate autonomously in complex environments even when GPS positioning is denied. Such capabilities will expand the operational domain and potential applications for small autonomous vehicles while improving our knowledge of insect locomotion.