The University of Maryland (UMD) MATRIX Lab has a short course on aerial autonomy in collaboration with the UMD UAS Research and Operations Center (UROC). Participants learn about verification and validation, and get the opportunity to build drones in the MATRIX Lab's Project Assembly Area, and fly them in the Open Air-Land Lab.
Dr. Xu will explain the state of artificial intelligence and machine learning for autonomous systems. UROC experts will discuss the history, convention, and practical use of UAS in a research or commercial setting. They also will share lessons learned from past projects and operations. The course also will cover verification and validation for autonomous systems with learning-enabled components, and how they impact airworthiness.
Course highlights:
- Held July 10-14, 2023 from 10 a.m. - 3 p.m. at the USMSM SMART Building
- Aerial autonomy
- Artificial intelligence and machine learning
- Building and flying drones
- Read our story summarizing the short course
Who is the instructor?
"How to Build, Fly, and Verify Autonomous Aerial Systems" is taught in the USMSM SMART Building by UMD faculty member Dr. Mumu Xu. Dr. Xu is an associate professor with a joint appointment in Aerospace Engineering and the Institute for Systems Research. The MATRIX Lab hosts the course with the support of experts from UROC.
Who is this course for?
This course has been designed for professionals and students with a software background, but new to UAS-specific-hardware and software. Both students and working professionals can apply to take the course. Upon successfully finishing, participants will earn a certificate of completion. The course also is eligible for Continuing Education Unit (CEU) credits.
What will participants be provided?
Refreshments and lunch are provided each day of the course. Vegan and vegetarian options are available. Participants will also be able to attend a networking event to be held after the last lecture. Refreshments and food will be provided at no cost to participants.
5 day course costs $1,000. Space is limited to 20 participants.
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