Predictive Displays and Latency Protections for High Latency Teleoperation

Award Information
Agency:
Department of Defense
Amount:
$69,872.00
Program:
SBIR
Contract:
W56HZV-10-C-0222
Solitcitation Year:
2009
Solicitation Number:
2009.3
Branch:
Army
Award Year:
2010
Phase:
Phase I
Agency Tracking Number:
A093-188-0476
Solicitation Topic Code:
A09-188
Small Business Information
Signature Research, Inc.
P.O. Box 346, Calumet, MI, 49913
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
803724301
Principal Investigator
 Gary Witus
 Vice President of R&D
 (734) 665-4818
 witus@signatureresearchinc.com
Business Contact
 Tracy Maki
Title: Business Manager
Phone: (906) 337-3360
Email: gedrew@poc.com
Research Institution
N/A
Abstract
We will develop and demonstrate robust and reliable methods for high-latency teleoperation with Predictive Display (PD), Latency Protection (LP) and Supervisory Control (SC). PD conveys the effects of latent commands not yet reflected in the display. Augmented Reality PD (ARPD) overlays an icon indicating the predicted position and orientation using nominal terrain and motion models. Virtual Reality PD (VRPD) warps the image to the predicted perspective using a “2½ D” model constructed via video feature tracking. LP limits translation and rotation rates, and shapes acceleration response, as functions of observed latency and operator behavior. In extreme situations, LP brakes to prevent operator overreaction. LP is inspired by AntiLock Braking: it has no observable effect within safety margins. Phase I will implement ARPD and LP on a Packbot, and begin VRPD. The Option will test Visual Servoing SC (VSSC) and open-loop Displacement Command SC (DCSC) for high-latency teleoperation, and implement VRPD. VSSC developed under a prior separate effort. ARPD, LP and DCSC are software-only solutions that can be implemented on existing UGVs without additional hardware. We will conduct developmental testing to optimize and compare the methods based on task performance, stress-related biosignals and subjective workload assessment.

* information listed above is at the time of submission.

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