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Research and Engineering Center for Unmanned Vehicles

A collaborative center addressing technical challenges in unmanned vehicle design, communications, robotics, and security. Current focuses include ad hoc networks and sensor networks with mobility, collective capabilities, and emergent behaviors.

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Research and Engineering Center for Unmanned Vehicles

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  1. Research and Engineering CenterforUnmanned Vehicles Brian Argrow Director Fall 2006

  2. RECUVIntegrated Diverse Disciplines A Center for Education and ResearchEst. 2003 RECUV draws faculty and students from all departments of the College of Engineering and Applied Sciences. We address technical challenges in a collaborative environment that integrates the traditional aerospace engineering disciplines of aerodynamics, structures, navigation, control, and vehicle design with telecommunications, networks, robotics, and security. The design, development, and deployment of ad hoc communications and sensor networks with mobility enabled by a variety of vehicles is a current focus. We are investigating collective capabilities and emergent behaviors obtained through loose control, cooperation, and collaboration to address a multitude of civil, commercial, military, and homeland defense applications.

  3. RECUVA Multidisciplinary Faculty 3 Depts.,1 Prog., 20 Faculty ~20 Grad/Ugrad Students

  4. Unmanned SystemsAir, Land, and Sea

  5. New Engineering Systemsand New Science Research Laboratory Partners STORM Engineering Science Polar/Oceanic Severe Storms Wildfire Precision Agriculture Access toHazardous and Hard-to-Reach Environments Modeling/Sims/Optimization Navigation & Control Sensing Communications Collaborative Systems CooperativeMobileSensingSystems Security Environmental Monitoring Public Safety Emergency Response Prediction & Early Warning Industry Partners Public Policy Partners Society AgencyPartners Public Perception & Response Operational Constraints Policy & Regulation Public Interest & Support New Productsand Discovered Markets New Public and Environmental Policies WILDFIRE POLAR RECUV Focus Cooperative Mobile Sensing Systems Research Thrusts WILDFIRE addresses the sensing, communications, and safety needs to support fire-fighting operations and increase capabilities for modeling and prediction; POLARaddresses heterogeneous mixes of sensor-integrated unmanned vehicles for novel, in-situ data acquisition in volumes that range from beneath the ocean surface into the troposphere; STORM addresses the challenges of volumetric in-situ data acquisition in severe storms, from the ground into the cloud.

  6. AUGNetAd hoc UAV and Ground Network Sponsor: L3 Communications/USAF PIs: Tim Brown Brian Argrow Eric Frew Harvey Gates Scenario 1: increase ground node connectivity. NOC Scenario 2: increase UAV mission range. We call such communication anAUGNet: Ad hoc UAV Ground Network

  7. Fixed Site 2 Range Network Meshed Radio Network UAV Nodes Mobile Nodes Fixed Site 1 Table Mountain Field Site Test Bed Gateway and Test Range IP Router University of Colorado Remote Monitor Internet Monitor Server AUGNet Table Mountain Field Site

  8. 900 MHzAntenna 5-hp Engine50-W Alternator GPS Antennas 72 MHz RC Antenna(now removed) FuelTank 2.4 GHzWiFi Antenna WebCam Piccolo Autopilot AUGNetMesh Network Radios and Ares UA MNR Amp Card WiFiCard Soekris Computer

  9. UA-UA . . Swarm Disconnected Groups FS2 85 . AUGNetMANET Scenarios . . .

  10. AUGNetNetUAVC3

  11. AUGNetPhocus Phased Array Antenna Sponsor: Fidelity Comtech USAF SBIR PIs: Tim Brown Brian Argrow

  12. Sensor Flock Plume Tracking and Modeling Sponsor: National Science Foundation PIs: Kamran Mohseni Dale Lawrence Richard Han Augments ground sensing with airborne in-situ sensors in the volume above a protected area For 300-m3 resolution in a 20 km diameter by 2-km thick volume, would need 23,260 radiosonde sensors If the plume occupies only 0.1% of this volume, would need only 23 sensors---if they could be located in the plume

  13. Sensor FlockMAVs Control and Cooperation Communication Corridor Base Station Micro IMU MAVs are globally attracted to loiter circles Allows higher level control to manage flock by moving loiter circle centers

  14. Sensor FlockMAV Simulation, Design, Construction

  15. Pulsatile Jets forUnderwater Vehicles Sponsor: NSF PI: Kamran Mohseni Simulations and prototypes of micro air vehicles for the Sensor Flock and unmanned underwater vehicles with a novel pulsatile-jet maneuvering system.

  16. New Projects • Laser Altimetry (NSF: J. Maslanik, D. Akos, S. Palo, B. Argrow) • UAS Data Ferry (AFOSR: E. Frew, T. Brown) • Remote Management of Cooperative Heterogenous UAS (Raytheon: E. Frew, B. Argrow, D. Lawrence) • Unmanned Systems Curriculum

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