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Subsurface Prospecting by Planetary Drones

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX16CK16C
Agency Tracking Number: 150119
Amount: $749,266.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T4.02
Solicitation Number: N/A
Timeline
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-28
Award End Date (Contract End Date): 2018-09-27
Small Business Information
2515 Liberty Avenue
Pittsburgh, PA 15222-4613
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Nathan Michael
 Assistant Research Professor
 (412) 268-7816
 nmichael@andrew.cmu.edu
Business Contact
 Fraser Kitchell
Title: Program Manager
Phone: (206) 470-9055
Email: fraser.kitchell@astrobotic.com
Research Institution
 Carnegie Mellon University
 Judy Coyle
 
5000 Forbes Avenue
Pittsburgh, PA 15213-3815
United States

 (412) 268-5597
 Domestic Nonprofit Research Organization
Abstract

Recurring slope linae (RSL), such as those in Newton Crater on Mars, methane plumes in hazardous Martian terrain, and water ice discovered during the LCROSS experiment in the Moon?s permanently shadowed Cabeus Crater drive the need for a new generation of robotic explorers that access, probe, extract, and return resources from extreme terrains.
These robots must possess sufficient system-level autonomy to operate without human guidance due to latency constraints over vast distances, and must also have perceptual capabilities to analyze sensor measurements and the belief state to make decisions about where to explore and whether a target is worth sampling. This enhanced exploration capability takes advantage of perceptual models that can encode the probability of the existence of a resource given material properties estimated from current and prior sensor measurements.
The proposed program innovates novel perceptual models and exploration algorithms that maximize the likelihood of detecting resources if they are present and enables robots to make decisions about where to loiter in order to sample terrain for a particular resource. Beyond topical research, the program will ruggedize Phase 1 software to operate in the presence of sensor and state uncertainty, integrate the capabilities on physical robots, and demonstrate results in relevant, subterranean field test. Besides RSL and craters, the research enables exploration and access of cryovolcanoes, steep and deep gullies, and canyons. Terrestrial applications include the detection of radiation in contaminated facilities or explosive gases and flammable dust in mines, surveying urban canyons, and exploring bunkers and caves.

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

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