CRII: RI: Secure Consistent MAV Navigation

在过去的十年中，微型飞行器（MAV）在搜索和救援、侦察和监视、资产检查和交付服务等广泛的应用中变得越来越重要。预计将无人驾驶飞机系统整合到国家空域的经济影响将是巨大的。通过为确保一致的MAV导航提供严格的理论分析和可靠的设计工具，这项研究有可能对我们的生活产生重大影响，从推动我们对科学理解的知识边界到保护人们免受恶意攻击。（非线性）估计一致性和资源约束下的安全性，并寻求设计资源感知，攻击弹性，一致的MAV导航。为此，正在对传感器系统特性（例如噪声特性和感测频率）对可达到的估计性能的影响进行分析研究，以确定要使用的最佳感测参数。综合推广计划通过为K-12学生提供全面，创新的动手教学和机器人编程学习，吸引代表性不足的少数民族学生进入STEM。

Micro aerial vehicles (MAVs) have gained importance in a wide range of applications over the last decade, such as search and rescue, reconnaissance and surveillance, asset inspection, and delivery services. The economic impact of integrating unmanned aircraft systems into the national airspace is predicted to be significant. By providing rigorous theoretical analysis and solid design tools for securing consistent MAV navigation, this research has the potential to significantly impact our lives, from pushing our knowledge boundary of scientific understanding to protecting people from malicious attacks.This research project advances science at the intersection of (nonlinear) estimation consistency and security under resource constraints and seeks to design resource-aware, attack-resilient, consistent MAV navigation. To that end, an analytical study of the effects of sensor system properties such as noise characteristics and sensing frequency on the attainable estimation performance is being conducted to determine the best sensing parameters to use. The integrated outreach program attracts underrepresented minority students to STEM through comprehensive, innovative hands-on teaching and learning of robotics programming for K-12 students.