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CAREER: Mothership / Daughtership Architectures for In Situ Science by Robotic Sensor Networks
Sponsored by NSF: Robust Intelligence
Collaborative Research: Development of Unmanned Aircraft System
for Research in a Severe Storm Environment and Deployment within the VORTEX 2
Sponsored by NSF: Division of Atmospheric Science
Information-Theoretic Control of Robotic Sensor Networks
Sponsored by NSF: Robust Intelligence
An Integrated Framework for Controlled Mobility in Ad Hoc Networks.
Sponsored by AFOSR: Complex Networks
Research and Engineering Center for Unmanned Vehicles
Eric W. Frew
Assistant Professor
Aerospace Engineering Sciences Department
University of Colorado at Boulder
ECAE 181
(303) 735-1285
My research interests are autonomous flight of unmanned aircraft systems (UAS), controlled mobility in mobile networks, optimal distributed sensing, cooperative mobile systems for in-situ volumetric sensing, planning and control under uncertainty, and vision-based control.
Autonomous robotic systems promise to accomplish tasks that humans cannot perform themselves. They will allow us to explore other planets, to survey remote or dangerous areas, and to perform highly precise, minimally invasive medical procedures. The development of fully-capable autonomous systems requires a multidisciplinary effort to establish connections between many related fields. Research in a wide range of areas, including control theory, artificial intelligence, and mechanical design, has progressed to the point where concepts are ready to be applied to real autonomous systems. Future research must address the fundamental links between these related areas and the best ways to integrate them together.
Of primary importance to any autonomous robot is the collection and processing of sensory information about its environment. For some autonomous vehicles the collection of this data will be the main goal while for others it will enable more complex interactions with the world. My research focuses on the development of integrated control and sensing strategies for autonomous systems. This work draws from a variety of disciplines, including intelligent system design, modern control and estimation theory, artificial intelligence, motion planning, computer vision, and GPS positioning.
Eric W. Frew
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