讲座题目：基于人工智能驱动的航空器自主性研究（AI-powered Aircraft Autonomy in the Low-Altitude Economy ）

讲座专家：卫鹏

讲座时间：2025年7月22日9:30-12:00

讲座地点：天府校区雁归楼3013

报告摘要：小型无人机（UAS）和大型电动垂直起降飞行器（eVTOL）领域新兴的航空器自主技术有望改变航空格局。为实现这些新型航空器的安全、高密度运行，需要新型数学模型和自主算法，以支持空域/航线设计、飞行规划、空中交通管理及航电功能。本次报告将围绕综合冲突管理、垂直起降场管理，以及将神经网络引入航电功能时的人工智能认证问题展开探讨。

Abstract:The emerging aircraft autonomy technologies in small unmanned aerial systems (UASs) and larger electric vertical take-off and landing aircraft (eVTOLs) are expected to change the aviation landscape. In order to enable safe and high-density operations with these new aircraft types, novel mathematical models and autonomy algorithms are needed to support airspace/corridor design, flight planning, air traffic management and avionics functions. In this talk the speaker will initiate exciting discussions on integrated conflict management, vertiport management, and AI certification concerns in introducing neural nets into avionic functions.

专家简介：

卫鹏，美国乔治・华盛顿大学机械与航空航天工程系，长聘副教授。卫鹏老师团队致力于控制、优化、机器学习与人工智能交叉领域的研究，开发面向航空、航电及空中机器人的自主系统和决策支持工具。目前研究重点包括：

（1）航空器自主性、多智能体自主性及人机协同的安全性、效率与可扩展性；

（2）航空运行，涵盖空中交通管理与控制（ATM/C）、航空公司运营、无人机交通管理（UTM）、先进空中交通（AAM）及航空电动化；

（3）安全关键系统的人工智能安全、安全性及认证。

卫鹏老师是美国航空航天学会AIAA Associate Fellow（会士），担任《AIAA Journal of Aerospace Information Systems》和《Journal of Open Aviation Science》副主编。他于2013年获普渡大学（Purdue University）航空航天工程博士学位，2007年获清华大学自动化学士学位。

Peng Wei is an associate professor in the Department of Mechanical and Aerospace Engineering at the George Washington University, with courtesy appointments at Electrical and Computer Engineering Department and Computer Science Department. By contributing to the intersection of control, optimization, machine learning, and artificial intelligence, he and his team develop autonomous systems and decision support tools for aviation, avionics and aerial robotics. His current focuses are (1) safety, efficiency, and scalability of aircraft autonomy, multi-agent autonomy and human-autonomy teaming; (2) aviation operations including air traffic management/control (ATM/C), airline operations, UAS traffic management (UTM), advanced air mobility (AAM) and aviation electrification; and (3) AI safety, security and certification for safety-critical systems. Prof. Wei is an AIAA Associate Fellow. He serves as an associate editor for AIAA Journal of Aerospace Information Systems and Journal of Open Aviation Science. He received his Ph.D. degree in Aerospace Engineering from Purdue University in 2013 and his bachelor degree in Automation from Tsinghua University in 2007.