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Context-Augmented Robotic Interaction Layer (CARIL) Phase II

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX15CJ12C
Agency Tracking Number: 144766
Amount: $1,499,821.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: H20.01
Solicitation Number: N/A
Solicitation Year: 2014
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-06-08
Award End Date (Contract End Date): 2017-06-07
Small Business Information
2250 Hickory Road, Suite 150
Plymouth Meeting, PA 19462-1047
United States
DUNS: 161162995
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Taylor Carpenter
 Principal Investigator
 (215) 542-1400
Business Contact
 Geraldine Burke
Title: Business Official
Phone: (215) 542-1400
Research Institution

CHI Systems and the Institute for Human Machine Cognition have teamed to create a human-robot interaction system that leverages cognitive representations of shared context as a basis for a fundamentally new approach to human-robotic interaction. This approach centers on a framework for representing context, and for using context to enable robot adaptive decision-making and behavior. The framework is called CARIL (the Context-Augmented Robotic Interaction Layer). Context is an important part of human-human interaction. Unfortunately, context is often overlooked when designing robotic systems. The challenge is to translate high-level concepts, such as teamwork and collaboration, into specific requirements that can be implemented within control algorithms, interface elements, and behaviors. During Phase I, CHI Systems developed a proof-of-concept CARIL implementation and applied it to a notional simulated robot in a simple station model. This simulation demonstrated CARIL's feasibility by demonstrating how it gave the simulated robot a capability to reason about its context to avoid spatial interference with astronaut activities and tasks.

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

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