mcm.bib

@article{McMahonRAL,
  author = {J. McMahon and E. Plaku},
  journal = {IEEE Robotics and Automation Letters},
  title = {Autonomous Data Collection With Limited Time for Underwater Vehicles},
  year = {2017},
  volume = {2},
  number = {1},
  pages = {112-119}
}
@article{McMahonJOE15,
  author = {McMahon,James and Plaku,Erion},
  journal = {IEEE Journal of Oceanic Engineering},
  title = {Mission and Motion Planning for Autonomous Underwater Vehicles Operating in Spatially and Temporally Complex Environments},
  year = {2016},
  volume = {41},
  number = {4},
  pages = {893-912}
}
@article{McMahonRobotica15,
  author = {McMahon,James and Plaku,Erion},
  title = {Robot motion planning with task specifications via regular languages},
  journal = {Robotica},
  volume = {FirstView},
  month = {12},
  year = {2015},
  issn = {1469-8668},
  pages = {1--24}
}
@article{Spiderweb,
  title = {Mesh-type acoustic vector sensor},
  author = {Zalalutdinov, M. K. and Photiadis, D. M. and  Szymczak, W. G. and McMahon, J. W. and Bucaro, J.A. and Houston, B. H.},
  journal = {Phys. Rev. Applied},
  volume = {submitted},
  year = {2016},
  publisher = {American Physical Society}
}
@inproceedings{McMahonOceans15,
  author = {James McMahon and Erion Plaku},
  booktitle = {OCEANS 2015 - MTS/IEEE Washington},
  title = {Autonomous underwater vehicle Mine Countermeasures mission planning via the Physical Traveling Salesman Problem},
  year = {2015},
  pages = {1-5}
}
@inproceedings{MCMAHONIROS14LTL,
  title = {Sampling-based tree search with discrete abstractions for motion planning with dynamics and temporal logic},
  author = {McMahon, James and Plaku, Erion},
  booktitle = iros,
  pages = {3726--3733},
  year = {2014}
}
@incollection{McMahonTAROS13auv,
  author = {Erion Plaku and James McMahon},
  title = {Motion Planning and Decision Making for Underwater Vehicles 
             Operating in Constrained Environments in the Littoral},
  booktitle = {Towards Autonomous Robotic Systems},
  year = {2013},
  volume = {8069},
  pages = {328--339}
}
@inproceedings{ICAPS2014GDA,
  title = {Iterative Goal Refinements for Robotics},
  author = {M. Roberts and S. Vattam and R. Alford and B. Auslander and J. Karneeb and M. Molineaux and T. Apker and M. Wilson and J. McMahon and D. Aha},
  booktitle = {Workshop on Planning and Robotics at the 24th International Conference on Automated Planning and Robotics},
  year = {2014},
  address = {Portsmouth, NH}
}
@inproceedings{AIROB2014,
  title = {Bounded Expectations for Discrepancy Detection in Goal Driven Autonomy},
  author = {M. Wilson and J. McMahon and D. Aha},
  booktitle = {AAAI-14 Workshop on Artificial Intelligence and Robotics},
  year = {2014},
  address = {Quebec City, Quebec}
}
@inproceedings{PlakuICRA2013,
  title = {Combined Mission and Motion Planning to Enhance Autonomy of Underwater Vehicles Operating in the Littoral Zone},
  author = {E. Plaku and J. McMahon},
  booktitle = {Workshop on Combining Task and Motion Planning at IEEE Conference on Robotics and Automation (ICRA'13)},
  year = {2013},
  address = {Karlsruhe, Germany}
}
@inproceedings{PlakuICAPS2013,
  title = {Motion Planning with Linear Temporal Logic for Underwater Vehicles Operating in Constrained Environments},
  author = {E. Plaku and J. McMahon},
  booktitle = {Proceedings of the 1st Workshop on Planning in Continuous Domains (ICAPS'13)},
  year = {2013},
  address = {Rome, Italy}
}
@inproceedings{NRLGDA2013,
  author = {Mark Wilson and Bryan Auslander and Benjamin Johnson and Thomas
                  Apker and James McMahon and David W. Aha},
  title = {Towards Applying Goal Autonomy for Vehicle Control},
  booktitle = {Goal Reasoning: Papers from the ACS Workshop},
  year = {2013},
  pages = {127--142},
  address = {Baltimore, MD, USA}
}
@techreport{HearingLoss2012,
  author = {P. C. Herdic and J. W. McMahon and B. R. Dzikowicz and B. H. Houston and G. K. Hubler},
  title = {NRL Technical Year End Progress Report for MCSC PM-ICE FY11 SOW Tasks 1 and 2 - Hearing Loss Research},
  number = {MCSC PM-ICE},
  institution = {The Naval Research Laboratory},
  address = {Washington, DC},
  year = {2012}
}

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