Extending a MOOS-IvP Autonomy System and Users Guide to the IvPBuild Toolbox

This document describes how to extend the suite of MOOS applications and IvP Helm behaviors distributed with the MOOS-IvP software bundle from www.moos-ivp.org. It covers (a) a straw-man repository with a place-holder MOOS application and IvP Behavior, with a working CMake build structure, (b) a bri...

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Main Authors: Benjamin, Michael R., Newman, Paul M., Schmidt, Henrik, Leonard, John J.
Other Authors: Robotics, Vision & Sensor Networks
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/46361
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author Benjamin, Michael R.
Newman, Paul M.
Schmidt, Henrik
Leonard, John J.
author2 Robotics, Vision & Sensor Networks
author_facet Robotics, Vision & Sensor Networks
Benjamin, Michael R.
Newman, Paul M.
Schmidt, Henrik
Leonard, John J.
author_sort Benjamin, Michael R.
collection MIT
description This document describes how to extend the suite of MOOS applications and IvP Helm behaviors distributed with the MOOS-IvP software bundle from www.moos-ivp.org. It covers (a) a straw-man repository with a place-holder MOOS application and IvP Behavior, with a working CMake build structure, (b) a brief overview of the MOOS application class with an example application, (c) an overview of the IvP Behavior class with an example behavior, and (d) the IvPBuild Toolbox for generation of objective functions within behaviors.
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spelling mit-1721.1/463612019-04-11T00:37:04Z Extending a MOOS-IvP Autonomy System and Users Guide to the IvPBuild Toolbox Benjamin, Michael R. Newman, Paul M. Schmidt, Henrik Leonard, John J. Robotics, Vision & Sensor Networks John Leonard UUV Behavior Based Control Unmanned Vehicles Multi-objective Optimization Autonomous Marine Vehicles Behavior Based Architecture Autonomous Vehicles AUV Arbitration MOOSDB Unmanned Marine Vehicles Action Selection Multi-Objective Optimization Autonomous Helm USV Unmanned Surface Vehicles MOOS Behaviors Artificial Intelligence Autonomous Decision Making Underwater Vehicles ZAIC This document describes how to extend the suite of MOOS applications and IvP Helm behaviors distributed with the MOOS-IvP software bundle from www.moos-ivp.org. It covers (a) a straw-man repository with a place-holder MOOS application and IvP Behavior, with a working CMake build structure, (b) a brief overview of the MOOS application class with an example application, (c) an overview of the IvP Behavior class with an example behavior, and (d) the IvPBuild Toolbox for generation of objective functions within behaviors. 2009-08-20T18:30:06Z 2009-08-20T18:30:06Z 2009-08-20 http://hdl.handle.net/1721.1/46361 MIT-CSAIL-TR-2009-037 102 p. application/pdf application/postscript
spellingShingle UUV
Behavior Based Control
Unmanned Vehicles
Multi-objective Optimization
Autonomous Marine Vehicles
Behavior Based Architecture
Autonomous Vehicles
AUV
Arbitration
MOOSDB
Unmanned Marine Vehicles
Action Selection
Multi-Objective Optimization
Autonomous Helm
USV
Unmanned Surface Vehicles
MOOS
Behaviors
Artificial Intelligence
Autonomous Decision Making
Underwater Vehicles
ZAIC
Benjamin, Michael R.
Newman, Paul M.
Schmidt, Henrik
Leonard, John J.
Extending a MOOS-IvP Autonomy System and Users Guide to the IvPBuild Toolbox
title Extending a MOOS-IvP Autonomy System and Users Guide to the IvPBuild Toolbox
title_full Extending a MOOS-IvP Autonomy System and Users Guide to the IvPBuild Toolbox
title_fullStr Extending a MOOS-IvP Autonomy System and Users Guide to the IvPBuild Toolbox
title_full_unstemmed Extending a MOOS-IvP Autonomy System and Users Guide to the IvPBuild Toolbox
title_short Extending a MOOS-IvP Autonomy System and Users Guide to the IvPBuild Toolbox
title_sort extending a moos ivp autonomy system and users guide to the ivpbuild toolbox
topic UUV
Behavior Based Control
Unmanned Vehicles
Multi-objective Optimization
Autonomous Marine Vehicles
Behavior Based Architecture
Autonomous Vehicles
AUV
Arbitration
MOOSDB
Unmanned Marine Vehicles
Action Selection
Multi-Objective Optimization
Autonomous Helm
USV
Unmanned Surface Vehicles
MOOS
Behaviors
Artificial Intelligence
Autonomous Decision Making
Underwater Vehicles
ZAIC
url http://hdl.handle.net/1721.1/46361
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