Model Driven Autonomous System Demonstration and Experimentation Workbench

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,999.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
HDTRA1-13-P-0016
Award Id:
n/a
Agency Tracking Number:
O123-AU2-5002
Solicitation Year:
2012
Solicitation Topic Code:
OSD12-AU2
Solicitation Number:
2012.3
Small Business Information
1353 Forbes Dr., Bloomfield Hills, MI, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
969847834
Principal Investigator:
William Smuda
Principle Investigator
(248) 496-6278
bill.smuda@adept-analytics.com
Business Contact:
William Smuda
owner
(248) 496-6278
bill.smuda@adept-analytics.com
Research Institution:
Stub




Abstract
To achieve high-level strategic goals, DoD elements are investigating the potential of adding autonomy to unmanned assets. An autonomous system must be able to amend its"pre-loaded"plan by rapidly assessing the current situation, examining a number of possible outcomes, initiating a course of action and continuing to reassess its decisions and plan. Currently, data needed for training autonomous models, as well as response algorithms and heuristics, are limited for the system architect designing an autonomous platform. In areas where such data is available, such as observations of the recent DARPA Grand Challenge for autonomous automobiles, no well-developed system for identifying, archiving and maintaining useful information related to autonomous platform design exists. A well-defined framework for Autonomous Demonstration and Experimentation could collect real-world data, design decisions, requirements and experiment results into a scalable and intuitive workbench. This workbench will greatly aid the design of autonomous systems and identify gaps as well as provide management with actionable data.

* information listed above is at the time of submission.

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