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Development of an Autonomous Recovery Function for eVTOL Aircraft Using an Adaptive / ML Controller

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8649-21-P-0051
Agency Tracking Number: FX20D-TCSO1-0062
Amount: $148,068.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AFX20D-TCSO1
Solicitation Number: X20.D
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-11-18
Award End Date (Contract End Date): 2021-05-18
Small Business Information
1108 Whippoorwill Ct
Petaluma, CA 94954-1815
United States
DUNS: 106598553
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Carl Dietrich
 Carl_Dietrich
 (617) 216-4032
 carl@jumpaero.com
Business Contact
 Katerina Barilov
Phone: (617) 216-4032
Email: katerina@jumpaero.com
Research Institution
 California Institute of Technology
 Soon-Jo Chung
 
1200 E. California Blvd.
Pasadena, CA 91125-0001
United States

 (626) 395-4450
 Nonprofit college or university
Abstract

Jump Aero has partnered with Caltech’s Center for Autonomous Systems and Technologies (CAST) to move adaptive control and machine learning autonomy algorithms from the lab to the real world.  We will accomplish this transition through an incremental crawl-walk-run process where the first crawl step involves a combination of certifiable hardware and a software architecture that is based on Run Time Assurance (RTA) with a certifiable System Monitor and an adaptive/ML recovery function developed at CAST. 

* Information listed above is at the time of submission. *

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