A Tour of MOOS-IvP Autonomy Software Modules
This paper provides an overview of the MOOS-IvP autonomy software modules. The MOOS-IvP collection of software, i.e., codebase, described here has been developed and is currently maintained by three organizations - Oxford University, Massachusetts Institute of Technology (MIT), and the Naval Underse...
| Main Authors: | , , , |
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| Other Authors: | |
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2009
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| Online Access: | http://hdl.handle.net/1721.1/44590 |
| _version_ | 1826214794185670656 |
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| author | Benjamin, Michael R. Leonard, John J. Schmidt, Henrik Newman, Paul M. |
| author2 | John Leonard |
| author_facet | John Leonard Benjamin, Michael R. Leonard, John J. Schmidt, Henrik Newman, Paul M. |
| author_sort | Benjamin, Michael R. |
| collection | MIT |
| description | This paper provides an overview of the MOOS-IvP autonomy software modules. The MOOS-IvP collection of software, i.e., codebase, described here has been developed and is currently maintained by three organizations - Oxford University, Massachusetts Institute of Technology (MIT), and the Naval Undersea Warfare Center (NUWC) Division Newport Rhode Island. The objective of this paper is to provide a comprehensive list of modules and provide for each (a) a general description of functionality, (b) dependency relationships to other modules, (c) rough order of magnitude in complexity or size, (d) authorship, and (e) current and planned distribution access. |
| first_indexed | 2024-09-23T16:11:15Z |
| id | mit-1721.1/44590 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:11:15Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | mit-1721.1/445902019-04-12T09:57:47Z A Tour of MOOS-IvP Autonomy Software Modules Benjamin, Michael R. Leonard, John J. Schmidt, Henrik Newman, Paul M. John Leonard Robotics, Vision & Sensor Networks marine vehicles middleware autonomous helm unmanned underwater vehicle IvP helm IvP unmanned surface vehicles dackseat driver behaviors behavior-based UUV multi-objective optimization publish-subscribe interval programming USV Mission Oriented Operating Suite MOOSDB MOOS pHelmIvP decision making This paper provides an overview of the MOOS-IvP autonomy software modules. The MOOS-IvP collection of software, i.e., codebase, described here has been developed and is currently maintained by three organizations - Oxford University, Massachusetts Institute of Technology (MIT), and the Naval Undersea Warfare Center (NUWC) Division Newport Rhode Island. The objective of this paper is to provide a comprehensive list of modules and provide for each (a) a general description of functionality, (b) dependency relationships to other modules, (c) rough order of magnitude in complexity or size, (d) authorship, and (e) current and planned distribution access. 2009-02-13T22:30:07Z 2009-02-13T22:30:07Z 2009-02-13 http://hdl.handle.net/1721.1/44590 MIT-CSAIL-TR-2009-006 38 p. application/pdf application/postscript |
| spellingShingle | marine vehicles middleware autonomous helm unmanned underwater vehicle IvP helm IvP unmanned surface vehicles dackseat driver behaviors behavior-based UUV multi-objective optimization publish-subscribe interval programming USV Mission Oriented Operating Suite MOOSDB MOOS pHelmIvP decision making Benjamin, Michael R. Leonard, John J. Schmidt, Henrik Newman, Paul M. A Tour of MOOS-IvP Autonomy Software Modules |
| title | A Tour of MOOS-IvP Autonomy Software Modules |
| title_full | A Tour of MOOS-IvP Autonomy Software Modules |
| title_fullStr | A Tour of MOOS-IvP Autonomy Software Modules |
| title_full_unstemmed | A Tour of MOOS-IvP Autonomy Software Modules |
| title_short | A Tour of MOOS-IvP Autonomy Software Modules |
| title_sort | tour of moos ivp autonomy software modules |
| topic | marine vehicles middleware autonomous helm unmanned underwater vehicle IvP helm IvP unmanned surface vehicles dackseat driver behaviors behavior-based UUV multi-objective optimization publish-subscribe interval programming USV Mission Oriented Operating Suite MOOSDB MOOS pHelmIvP decision making |
| url | http://hdl.handle.net/1721.1/44590 |
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