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Stochastic Robotic Simulation Tool

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX15CA40P
Agency Tracking Number: 154622
Amount: $124,996.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: H6.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-06-17
Award End Date (Contract End Date): 2015-12-17
Small Business Information
One Mifflin Place, Suite 400
Cambridge, MA 02138-4946
United States
DUNS: 007341493
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ryan Penning
 Principal Enginner
 (888) 547-4100
 rpenning@energid.com
Business Contact
 James English
Title: Business Official
Phone: (888) 547-4100
Email: jde@energid.com
Research Institution
N/A
Abstract

Energid Technologies proposes a game-theory inspired simulation tool for testing and validating robotic lunar and planetary missions. It applies Monte Carlo simulation within a multi-optimization environment tailored to the needs of NASA. Stochastic optimization is combined with randomized simulation to maximize multiple statistical measures of performance and calculate the parameters giving the extreme scenarios. The tool works with continuous parameters, such as mass and terrain properties, and with discrete parameters, such as lighting selection, gearing selection, and navigation parameters. It includes accurate modeling of sensors and terrain interaction using calculations performed on Graphical Processing Units (GPUs). The technique proposed is computationally expensive, but highly parallelizable, and the approach includes a design for distribution of computational burden over multiple computers, GPUs, clusters, and cloud configurations. The proposed combination of fast algorithms and game-theory-inspired statistical optimization will provide a powerful tool for NASA's use in planning missions.

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

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