NASA STTR 2016 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 16-1 T4.03-9796
RESEARCH SUBTOPIC TITLE: Coordination and Control of Swarms of Space Vehicles
PROPOSAL TITLE: Satellite Swarm Localization and Control via Random Finite Set Statistics

SMALL BUSINESS CONCERN (SBC): RESEARCH INSTITUTION (RI):
NAME: ASTER Labs, Inc. NAME: The Regents of the University of Minnesota
STREET: 155 East Owasso Lane STREET: 200 Oak Street Southeast
CITY: Shoreview CITY: Minneapolis
STATE/ZIP: MN  55126 - 3034 STATE/ZIP: MN  55455 - 2070
PHONE: (651) 484-2084 PHONE: (612) 624-5599

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Suneel Ismail Sheikh
sheikh@asterlabs.com
155 East Owasso Lane
Shoreview, MN 55126 - 3034
(651) 484-2084

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Suneel Ismail Sheikh
sheikh@asterlabs.com
155 East Owasso Lane
Shoreview, MN 55126 - 3034
(651) 484-2084

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 2
End: 3

Technology Available (TAV) Subtopics
Coordination and Control of Swarms of Space Vehicles is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?
No

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
The proposed novel program will develop and demonstrate a new approach to perform real-time relative vehicle localization within a swarm formation with application to communication-less coordination. These objectives are achieved by using Random Finite Sets statistics theory to solve the multiple object tracking problem. The swarm formation localization problem can be formulated as estimating the local intensity function of targets in the near field and developing probabilistic control strategies to track an expected localization state space configuration. Work will focus on developing estimation and control algorithms that can utilize simple measurements range and bearing angle to other units, and also determine the local environment using feature measurements. Three major tasks are proposed for the development of swarming space vehicle estimation and control: Random Finite Set Localization, Random Finite Set Formation Control, and Bayesian Collective Decision Making. Algorithm development in Phase I will extend to a Hypothesis Density Filter and Sequential Monte Carlo Hypothesis Density Filter, Motion Model, Estimation techniques, Landmark SLAM using these techniques, Behavioral Distribution Control, Cyclic Distribution Control, and multiple decision making estimation models. Proposed follow-on efforts will fully implement the swarm technology for real-time integrated system use, identify different formation configurations and sensor combination for hardware integration, and work to position the system for integration into a demonstration mission identified in the Phase I work to fully illustrate the mission enhancements of the operational system.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
NASA applications consist of enabling autonomous precision swarm coordination for satellites traveling in Earth orbit or eventually into deep space, including greater precision for vehicle control. The swarm formation coordination and control algorithms and software will provide expanded mission planning and analysis capabilities, reduction of communication requirements, and reduction of mission risk. The system would offer significant value in providing or augmenting current navigation and control technologies and techniques, as well as reduce support costs and system station-keeping down-time. The system can also offer precise formation control for assisting multiple spacecraft formation flying anywhere in the solar system. The proposed system data product has potential to enable benefits to autonomous planetary rover swarms, asteroid and comet exploration, and earth orbiting swarms.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Non-NASA applications for this technology include increased coordination and control for units of multiple unmanned aerial systems performing search and rescue operations, for the Department of Homeland Security and other government agencies or local municipalities. Robotic or autonomous land, sea, and air vehicle coordination for the Department of Defense, and reduction of communication and relay requirements is an added application. Commercial telecommunication satellite providers that desire to transmit large data rate information between multiple vehicles, such as imaging or internet-like inter-satellite networks, could realize the formation control benefits through this enabling technology.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Algorithms/Control Software & Systems (see also Autonomous Systems)
Autonomous Control (see also Control & Monitoring)
Entry, Descent, & Landing (see also Planetary Navigation, Tracking, & Telemetry)
Models & Simulations (see also Testing & Evaluation)
Navigation & Guidance
Ranging/Tracking
Relative Navigation (Interception, Docking, Formation Flying; see also Control & Monitoring; Planetary Navigation, Tracking, & Telemetry)
Robotics (see also Control & Monitoring; Sensors)
Software Tools (Analysis, Design)
Telemetry (see also Control & Monitoring)

Form Generated on 04-26-16 15:16