BathyBoat: Autonomous surface command and control for underwater vehicle networks

This paper reports the preparation of two modified Ocean-Server AUV systems and the construction of a new autonomous surface vessel (ASV) for cooperative simultaneous localization and mapping (SLAM) research at the University of Michigan (UMich). The Marine Hydrodynamics Laboratories (MHL) has design...

Full description

Bibliographic Details
Main Authors: Brown, Hunter, Meadows, Guy, Jenkins, Liza, Shuchman, Robert A.
Other Authors: Naval Architecture and Marine Engineering, Department of, Michigan Tech Research Institute, Michigan Technological University, Ann Arbor
Format: Article in Journal/Newspaper
Language:English
Published: 2010
Subjects:
ASV
AUV
Online Access:https://hdl.handle.net/2027.42/65070
Description
Summary:This paper reports the preparation of two modified Ocean-Server AUV systems and the construction of a new autonomous surface vessel (ASV) for cooperative simultaneous localization and mapping (SLAM) research at the University of Michigan (UMich). The Marine Hydrodynamics Laboratories (MHL) has designed and fabricated the new ASV BathyBoat to serve as a targeted remote sensing platform and a mobile command and control center for underwater search and survey activities performed by UMich Perceptual Robotics Laboratory (PeRL) AUVs. The ASV is outfitted with a suite of sensors including a RadarSonics 250 acoustic depth sensor, Garmin WAAS-enabled GPS, Honeywell HMR3300 digital compass and accelerometer, Vernier CON-BTA conductivity probe, a WHOI Micro-Modem for two-way communication with the AUVs, and other sensors discussed subsequently. Wireless data transmission from the surface offers the ability to monitor, in real-time, the state of the AUVs. In addition, updated mission objectives can be relayed, from ship or shore, through the ASV for mid- mission adjustments. Ongoing scientific and engineering research objectives are discussed, along with an overview of the new autonomous surface vessel and a summary of field trials on the North Slope of Alaska. NSF #IIS 0746455 ONR #N00014-07-1-0791 Michigan Tech Research Institute http://deepblue.lib.umich.edu/bitstream/2027.42/65070/1/UI2010_Final.pdf