東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Automating oceanography: A robotic s...

Mairs, Bryant W.

Linked to FindBook

Google Book

Amazon

博客來

Automating oceanography: A robotic surface sensor platform combining flexibility and low-cost.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automating oceanography: A robotic surface sensor platform combining flexibility and low-cost./
Author:	Mairs, Bryant W.
Description:	205 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
Contained By:	Dissertation Abstracts International76-12B(E).
Subject:	Robotics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3715251
ISBN:	9781321933222

Automating oceanography: A robotic surface sensor platform combining flexibility and low-cost.
Mairs, Bryant W.

Automating oceanography: A robotic surface sensor platform combining flexibility and low-cost. - 205 p.

Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.

Thesis (Ph.D.)--University of California, Santa Cruz, 2015.

This work details the design, development, and testing of the autonomous surface vessel, the SeaSlug, including both its ground control station and simulation environments. This project differs from existing commercial and research platforms as it has been specifically designed to: (i) provide sufficient payload capacity and modularity for easy modification of the system's hardware and firmware, (ii) allow for extensive out-of-water testing within a robust simulation environment, and (iii) operate in the open ocean for a variety of medium-duration missions.

ISBN: 9781321933222Subjects--Topical Terms:

519753
Robotics.

Automating oceanography: A robotic surface sensor platform combining flexibility and low-cost.
LDR:02554nmm a2200313 4500 001 2072570
005 20160808080959.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321933222
035 $a (MiAaPQ)AAI3715251
035 $a AAI3715251
040 $a MiAaPQ $c MiAaPQ
100 1 $a Mairs, Bryant W. $3 3187771
245 1 0 $a Automating oceanography: A robotic surface sensor platform combining flexibility and low-cost.
300 $a 205 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-12(E), Section: B.
500 $a Adviser: Gabriel Elkaim.
502 $a Thesis (Ph.D.)--University of California, Santa Cruz, 2015.
520 $a This work details the design, development, and testing of the autonomous surface vessel, the SeaSlug, including both its ground control station and simulation environments. This project differs from existing commercial and research platforms as it has been specifically designed to: (i) provide sufficient payload capacity and modularity for easy modification of the system's hardware and firmware, (ii) allow for extensive out-of-water testing within a robust simulation environment, and (iii) operate in the open ocean for a variety of medium-duration missions.
520 $a The system is built around a central communications network using the CAN protocol, with components operating as modular parts of well-defined subsystems. This facilitates either the modification or addition of hardware to support a wide variety of mission types. At 6.7m in length, sufficient payload capacity is available for additional sensors in a large internal cabin and two external payload bays that run vertically through the hull. An extensive simulation environment allows for testing of all subsystems before mission deployment.
520 $a Using the L2+ guidance algorithm adapted from unmanned aerial vehicles, the SeaSlug is capable of following a desired trajectory to within 2.0m across a range of weather conditions and sea states. This has supported its use for missions that include testing solar panel integration for extended mission endurance; evaluating additional guidance, navigation, and control algorithms; and collecting oceanographic data on thermal fronts using a scientific sensor adapted to the rear payload bay.
590 $a School code: 0036.
650 4 $a Robotics. $3 519753
650 4 $a Computer engineering. $3 621879
650 4 $a Physical oceanography. $3 3168433
690 $a 0771
690 $a 0464
690 $a 0415
710 2 $a University of California, Santa Cruz. $b Computer Engineering (Robotics and Control). $3 3180806
773 0 $t Dissertation Abstracts International $g 76-12B(E).
790 $a 0036
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3715251