TODAY: Ye, 12-Nov-24, 12:20pm Central
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Ellad Tadmor
Nov 12, 2024, 10:12:29 AM11/12/24
to aem-solid...@umn.edu
AEM Mechanics Research Seminar
Tuesday 12-Nov-2024, 12:20pm Central
Prof. Yue Ye
Department of Aerospace Engineering and Mechanics, University of Minnesota
Title: Autonomous Aerospace Systems in Shared Spaces: Adaptation, Interaction, and Infrastructure Design
Abstract: How can autonomous aerospace systems adapt to contingencies in real time? How can they learn to interact with each other? How can large populations of them coexist harmoniously with humans? Motivated by these questions, my research develops algorithmic solutions to help autonomous aerospace systems work in spaces shared with each other and with humans. In this talk, I will present three directions of my research focusing on single-agent, multiagent, and large populations of autonomous aerospace systems, respectively. First, I will present my research on real-time trajectory optimization via first-order optimization methods. NASA has selected these methods for their next-generation precision landing systems, with flight tests planned in 2025. Second, I will present learning algorithms that infer unknown objectives in noncooperative multiagent interactions, enabling autonomous systems to predict and strategically react to other agents’ decisions. Finally, I will discuss network infrastructure design problems for large-scale autonomy and their application in traffic and noise pollution management for urban air mobility.
For more information, visit the AEM Mechanics Research Seminar website:
Tuesday 12-Nov-2024, 12:20pm Central
In-person: Room 327, Akerman Hall, University of Minnesota
Online: Webinar registration link
Department of Aerospace Engineering and Mechanics, University of Minnesota
Title: Autonomous Aerospace Systems in Shared Spaces: Adaptation, Interaction, and Infrastructure Design
Abstract: How can autonomous aerospace systems adapt to contingencies in real time? How can they learn to interact with each other? How can large populations of them coexist harmoniously with humans? Motivated by these questions, my research develops algorithmic solutions to help autonomous aerospace systems work in spaces shared with each other and with humans. In this talk, I will present three directions of my research focusing on single-agent, multiagent, and large populations of autonomous aerospace systems, respectively. First, I will present my research on real-time trajectory optimization via first-order optimization methods. NASA has selected these methods for their next-generation precision landing systems, with flight tests planned in 2025. Second, I will present learning algorithms that infer unknown objectives in noncooperative multiagent interactions, enabling autonomous systems to predict and strategically react to other agents’ decisions. Finally, I will discuss network infrastructure design problems for large-scale autonomy and their application in traffic and noise pollution management for urban air mobility.
For more information, visit the AEM Mechanics Research Seminar website:
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Ellad B. Tadmor, Ph.D.
Russell J. Penrose Professor
Department of Aerospace Engineering and Mechanics
University of Minnesota
https://dept.aem.umn.edu/~tadmor/
Russell J. Penrose Professor
Department of Aerospace Engineering and Mechanics
University of Minnesota
https://dept.aem.umn.edu/~tadmor/
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