ICRA 2012 Paper Abstract


Paper WeC310.2

Godzdanker, Roy (University of Denver), Rutherford, Matthew (University of Denver), Valavanis, Kimon (University of Denver)

Improving Endurance of Autonomous Aerial Vehicles through Intelligent Service-Station Placement

Scheduled for presentation during the Interactive Session "Interactive Session WeC-3" (WeC310), Wednesday, May 16, 2012, 15:30−16:00, Ballroom D

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on June 18, 2018

Keywords Aerial Robotics, Surveillance Systems, Intelligent Transportation Systems


A limitation of small-scale, autonomous, vertical take-off and landing (VTOL) vehicles is their relatively short flight time. This hinders their broad applicability for many commercial applications. In previous work, we present the design and implementation of ISLANDS, an autonomous self-leveling landing platform for VTOL vehicles, along with an initial approach to their placement in the field of work. In this paper, we present several new approaches for improved station placement in a field of work of arbitrary shape and size, given sensor characteristics and the nature of the application. We present these algorithms in the context of a generic survey application, but they generalize to many other applications such as search and rescue, traffic monitoring, and environment monitoring.



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