Intelligent Navigation and Temporal Reasoning Evaluation Platform
Navy SBIR FY2010.1
Sol No.: |
Navy SBIR FY2010.1 |
Topic No.: |
N101-076 |
Topic Title: |
Intelligent Navigation and Temporal Reasoning Evaluation Platform |
Proposal No.: |
N101-076-1544 |
Firm: |
Traclabs, Inc. 100 Northeast Loop 410
Suite 520
San Antonio, Texas 78216-6363 |
Contact: |
David Kortenkamp |
Phone: |
(281) 461-7884 |
Web Site: |
www.traclabs.com |
Abstract: |
The number of unmanned, autonomous vehicles in the military continues to grow. The missions these vehicles perform range from intelligence, surveillance and reconnaissance (ISR) to urban search and rescue (USAR) to explosive ordnance disposal (EOD). Each of these missions requires the unmanned vehicle to operate in time and space and under the supervision of a human. To provide a natural human interface the unmanned system must represent and reason about time and space in a fashion similar to humans (or at least in a fashion translatable to humans). Spatio-temporal representation and reasoning are topics of much on-going research. However, it is difficult to evaluate and compare the competing approaches because there are no standard testbeds or scenarios. In this project we propose an Intelligent Navigation and Temporal Reasoning Platform (INTREP) that can be used to evaluate spatio-temporal representations for autonomous agents. The INTREP system consists of three main components: 1) a testbed consisting of a simulation and databases for scripts and logged data; 2) a testbed control interface that assists an operator in configuring the INTREP system and analyzing the results; and 3) one or more autonomous agents that interact with the simulation to perform missions. |
Benefits: |
INTREP will have the capability to perform repeatable tests of autonomous agent spatio-temporal representations and reasoning, including human spatial interaction with the autonomous agents. INTREP will have a rich simulation environment and scripting capabilities that allow for a wide range of different missions for the autonomous agents. INTREP will allow for logging and analyzing different simulation runs including comparing simulation runs against each other. The benefits of INTREP are that it standardizes the testing of spatio-temporal representations and reasoning and that it makes it easy for an operator to perform rigorous testing of their agent technology. Another benefit of INTREP is that it allows researchers to demonstrate and test their agent''s spatio-temporal representation and reasoning without need to invest in expensive hardware nor develop a sophisticated simulation. We have identified several potential end users (i.e., markets) for the technology developed in this proposal. These markets range from university researchers to major military programs to non-military applications. |
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