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SPHERES Autonomy and Identification Testbed

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNA05AC52C
Agency Tracking Number: 030123
Amount: $599,906.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T1.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2003
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-05-23
Award End Date (Contract End Date): 2007-05-22
Small Business Information
247 Third Street
Cambridge, MA 02142-0000
United States
DUNS: 139378731
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Steven Sell
 Principal Investigator
 () -
 sell@payload.com
Business Contact
 Pamela Moriarty
Title: Business Official
Phone: (617) 868-8086
Email: moriarty@payload.com
Research Institution
 Massachusetts Institute of Technology
 Michael Corcoran
 
77 Massachusetts Avenue
Cambridge, MA 02139
United States

 (617) 253-3906
 Domestic Nonprofit Research Organization
Abstract

Many future space missions involve formation flying spacecraft performing imaging, inspection, assembly, and servicing missions. Having multiple spacecraft in close proximity undergoing comparatively rapid maneuvers dramatically changes the nature of safe modes. No longer can a spacecraft just null its rates, point its arrays towards the Sun and phone home. Now, the faulty spacecraft must also ensure that it will not collide with others. Furthermore, it must plan its maneuvers such that if it does experience a fault, the likelihood of collision is minimized. Fault detection, isolation, and recovery (FDIR) is more complex and requires a vigilant on-board software watchdog that reacts to both intra-vehicle as well as inter-vehicle faults and plans according to the consequences. Payload Systems Inc. (PSI), along with it partners at MIT and Intellization, propose an Autonomy and Identification Testbed (SPHERES-AIT) based on the SPHERES platform. SPHERES is a multi-satellite docking laboratory to mature metrology, autonomy, and path-planning algorithms for AR&D in the risk-tolerant yet long duration micro-gravity inside the International Space Station (ISS). This work will mature a modular autonomy software architecture that supports on-orbit self-assembly and spacecraft formation flight using a coordinated terrestrial and ISS laboratory that supports spiral development.

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

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