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Dominic Zeng Wang

Student & Postdoctoral Research Assistant Alumni

Biography

Dominic obtained his MEng from the University of Oxford in the year 2010, after which he joined MRG for a PhD programme. He obtained his PhD degree in 2015.

Publications

2020

  • Y. Wang, M. Ramezani, and M. Fallon, “Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot,” in IEEE Intl. Conf. on Robotics and Automation (ICRA), 2020.
    [Bibtex]
    @inproceedings{2020ICRA_wang,
    Title = {Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot},
    Author = {Yiduo Wang and Milad Ramezani and Maurice Fallon},
    Booktitle = {IEEE Intl. Conf. on Robotics and Automation (ICRA)},
    Year = 2020,
    month = may,
    Pdf = {http://www.robots.ox.ac.uk/~mobile/drs/Papers/2020ICRA_wang.pdf},
    }

2017

  • M. Wulfmeier, D. Rao, D. Z. Wang, P. Ondruska, and I. Posner, “Large-scale cost function learning for path planning using deep inverse reinforcement learning,” The International Journal of Robotics Research, p. 278364917722396, 2017.
    [Bibtex]
    @Article{WulfmeierIJRR2017,
    author = {Markus Wulfmeier and Dushyant Rao and Dominic Zeng Wang and Peter Ondruska and Ingmar Posner},
    title = {Large-scale cost function learning for path planning using deep inverse reinforcement learning},
    journal = {The International Journal of Robotics Research},
    year = {2017},
    pages = {0278364917722396},
    doi = {10.1177/0278364917722396},
    pdf = {http://dx.doi.org/10.1177/0278364917722396},
    url = {http://dx.doi.org/10.1177/0278364917722396},
    }
  • J. Dequaire, P. Ondrúška, D. Rao, D. Wang, and I. Posner, “Deep tracking in the wild: End-to-end tracking using recurrent neural networks,” The International Journal of Robotics Research, 2017.
    [Bibtex]
    @Article{DequaireIJJ2017,
    author = {Dequaire, Julie and Ondr{\'u}{\v{s}}ka, Peter and Rao, Dushyant and Wang, Dominic and Posner, Ingmar},
    title = {Deep tracking in the wild: End-to-end tracking using recurrent neural networks},
    journal = {The International Journal of Robotics Research},
    year = {2017},
    eprint = {http://journals.sagepub.com/doi/abs/10.1177/0278364917710543},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017_IJRR_Dequaire.pdf},
    publisher = {SAGE Publications Sage UK: London, England},
    }

2016

  • M. Wulfmeier, D. Z. Wang, and I. Posner, ” Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments ,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.
    [Bibtex]
    @InProceedings{WulfmeierIROS2016,
    author = {Wulfmeier, Markus and Wang, Dominic Zeng and Posner, Ingmar},
    title = {{ Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments }},
    booktitle = {{IEEE/RSJ} International Conference on Intelligent Robots and Systems (IROS)},
    year = {2016},
    month = October,
    note = {arxiv preprint: http://arxiv.org/abs/1607.02329},
    award = {IROS ABB Best Student Paper Award},
    awardlink = {http://www.iros2016.org/awards.html},
    pdf = {http://ieeexplore.ieee.org/document/7759328},
    }

2015

  • D. Z. Wang, I. Posner, and P. Newman, “Model-Free Detection and Tracking of Dynamic Objects with 2D Lidar,” The International Journal of Robotics Research (IJRR), vol. 34, iss. 7, pp. 1039-1063, 2015.
    [Bibtex]
    @article{2015IJRR_wang,
    Author = {Dominic Zeng Wang and Ingmar Posner and Paul Newman},
    Journal = {The International Journal of Robotics Research (IJRR)},
    Title = {Model-Free Detection and Tracking of Dynamic Objects with 2{D} Lidar},
    Volume = {34},
    Number = {7},
    Pages = {1039-1063},
    DOI = {10.1177/0278364914562237},
    Year = {2015}}
  • D. Z. Wang and I. Posner, “Voting for Voting in Online Point Cloud Object Detection,” in Proceedings of Robotics: Science and Systems, Rome, Italy, 2015.
    [Bibtex]
    @InProceedings{2015RSS_wang,
    author = {Dominic Zeng Wang AND Ingmar Posner},
    title = {Voting for Voting in Online Point Cloud Object Detection},
    booktitle = {Proceedings of Robotics: Science and Systems},
    year = {2015},
    address = {Rome, Italy},
    month = {July},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015RSS_wang.pdf},
    }

2013

  • D. Z. Wang, I. Posner, and P. Newman, “A New Approach to Model-Free Tracking with 2D Lidar,” in Proceedings of the International Symposium on Robotics Research (ISRR), Singapore, 2013.
    [Bibtex]
    @InProceedings{WangISRR2013,
    author = {Dominic Zeng Wang and Ingmar Posner and Paul Newman},
    title = {A New Approach to Model-Free Tracking with 2{D} Lidar},
    booktitle = {Proceedings of the International Symposium on Robotics Research (ISRR)},
    year = {2013},
    address = {Singapore},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2013ISRR_wang.pdf},
    }

2012

  • D. Z. Wang, I. Posner, and P. Newman, “What Could Move? Finding Cars, Pedestrians and Bicyclists in 3D Laser Data,” in Proc. IEEE International Conference on Robotics and Automation (ICRA), Minnesota, USA, 2012.
    [Bibtex]
    @InProceedings{WangICRA2012,
    author = {Dominic Zeng Wang and Ingmar Posner and Paul Newman},
    title = {What Could Move? Finding Cars, Pedestrians and Bicyclists in 3{D} Laser Data},
    booktitle = {Proc. IEEE International Conference on Robotics and Automation (ICRA)},
    year = {2012},
    address = {Minnesota, USA},
    month = {May},
    pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2012ICRA_wang.pdf},
    }

Thesis

D. Z. Wang, “Laser-Based Detection and Tracking of Dynamic Objects,” PhD Thesis, Oxford, United Kingdom, 2014.
[Bibtex]

@phdthesis{DominicZengWang,
Address = {Oxford, United Kingdom},
Author = {Dominic Zeng Wang},
Keywords = {Laser, Perception, Vote3D},
Pdf = {http://www.robots.ox.ac.uk/~mobile/Theses/WangThesis.pdf},
School = {University of Oxford},
Title = {Laser-Based Detection and Tracking of Dynamic Objects},
Year = {2014}}