Letizia Marchegiani

Letizia joined the Oxford Robotics Institute in April 2014 as a postdoctoral researcher.

Letizia holds a BEng in Computer Engineering, a MSc in Computer Engineering with specialisation in Artificial Intelligence and a PhD degree in Computing Science and Engineering from Sapienza – University of Rome.

For her PhD studies, she carried out a joint research project, as a member of the Vision, Perception and Cognitive Robotics Laboratory (ALCOR) of the Department of Computer and System Sciences in Sapienza – University of Rome and of the Cognitive Systems Group of the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU) .

She was also associated with the INSPIRE (Investigating Speech Processing In Realistic Environments) Initial Training Network as a Marie Curie Postdoctoral Research Fellow and worked, as a visiting researcher, in the Centre for Applied Hearing Research of the Department of Electrical Engineering at the Technical University of Denmark (DTU) .

Academia

At the moment, her research focuses on:

• • • Auditory Perception
    • Machine Listening
    • Driver Behaviour Modelling
    • Intelligent Energy Management in Electric Vehicles
    • Energy-efficient Planning

Her previous work mainly concerns speech processing and cognitive modelling of auditory attention for robotics applications.

ORI Publications

2018

• L. Marchegiani and P. Newman, “Learning to listen to your ego(-motion) : Metric Motion Estimation from Auditory Signals,” in Towards Autonomous Robotics Systems (TAROS), 2018.
  [Bibtex]

  @InProceedings{MarchegianiTAROS2018,
  author = {Letizia Marchegiani and Paul Newman},
  title = {Learning to listen to your ego(-motion) : Metric Motion Estimation from Auditory Signals},
  booktitle = {Towards Autonomous Robotics Systems (TAROS)},
  year = {2018},
  pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2018TAROS_marchegiani.pdf},
  }

• L. Marchegiani and I. Posner, “Long-Term Driving Behaviour Modelling for Driver Identification,” in IEEE International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, USA, 2018.
  [Bibtex]

2017

• L. Marchegiani and I. Posner, “Leveraging the Urban Soundscape: Auditory Perception for Smart Vehicles,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017.
  [Bibtex]

  @InProceedings{MarchegianiICRA2017,
  author = {Marchegiani, Letizia and Posner, Ingmar},
  title = {Leveraging the Urban Soundscape: Auditory Perception for Smart Vehicles},
  booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2017},
  address = {Singapore},
  month = {June},
  pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017ICRA_marchegiani.pdf},
  }

2016

• O. Bartlett, C. Gurau, L. Marchegiani, and I. Posner, “Enabling Intelligent Energy Management for Robots using Publicly Available Maps,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016.
  [Bibtex]

  @InProceedings{BartlettIROS2016,
  author = {Bartlett, Oliver and Gurau, Corina and Marchegiani, Letizia and Posner, Ingmar},
  title = {Enabling Intelligent Energy Management for Robots using Publicly Available Maps},
  booktitle = {{IEEE/RSJ} International Conference on Intelligent Robots and Systems (IROS)},
  year = {2016},
  address = {Daejeon, South Korea},
  month = {October},
  pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2016IROS_bartlett.pdf},
  }

2015

• P. Ondruska, C. Gurau, L. Marchegiani, C. H. Tong, and I. Posner, “Scheduled Perception for Energy-Efficient Path Following,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015.
  [Bibtex]

  @InProceedings{OndruskaICRA2015,
  author = {Peter Ondruska and Corina Gurau and Letizia Marchegiani and Chi Hay Tong and Ingmar Posner},
  title = {Scheduled Perception for Energy-Efficient Path Following},
  booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2015},
  address = {Seattle, WA, USA},
  month = {May},
  pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2015ICRA_ondruska.pdf},
  }

Other Publications (selected)

2012

• L. Marchegiani, “Top-Down Attention Modelling in a Cocktail Party Scenario,” PhD Thesis, 2012.
  [Bibtex]

  @phdthesis{marchegiani2012top,
  Author = {Marchegiani, L.},
  School = {Sapienza, University of Rome},
  Title = {Top-Down Attention Modelling in a Cocktail Party Scenario},
  Year = {2012}}

2011

• L. Marchegiani, S. G. Karadogan, T. Andersen, J. Larsen, and L. K. Hansen, “The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry’s Experiment after Sixty Years,” in Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on, 2011, p. 183–188.
  [Bibtex]

  @inproceedings{marchegiani2011role,
  Author = {Marchegiani, L. and Karadogan, S.G. and Andersen, T. and Larsen, J. and Hansen, L.K.},
  Booktitle = {Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on},
  Organization = {IEEE},
  Pages = {183--188},
  Title = {The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years},
  Volume = {1},
  Year = {2011}}

• S. G. Karadogan, L. Marchegiani, J. Larsen, and L. K. Hansen, “Top-down attention with features missing at random,” in IEEE International Workshop on Machine Learning For Signal Processing, 2011.
  [Bibtex]

  @inproceedings{karadogan2011top,
  Author = {Karadogan, S.G. and Marchegiani, L. and Larsen, J. and Hansen, L.K.},
  Booktitle = {IEEE International Workshop on Machine Learning For Signal Processing},
  Title = {Top-down attention with features missing at random},
  Year = {2011}}

• S. G. Karadogan, L. Marchegiani, L. K. Hansen, and J. Larsen, “How efficient is estimation with missing data?,” in Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 2011, p. 2260–2263.
  [Bibtex]

  @inproceedings{karadogan2011efficient,
  Author = {Karadogan, S.G. and Marchegiani, L. and Hansen, L.K. and Larsen, J.},
  Booktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on},
  Organization = {IEEE},
  Pages = {2260--2263},
  Title = {How efficient is estimation with missing data?},
  Year = {2011}}

• L. K. Hansen, S. G. Karadogan, and L. Marchegiani, “What to measure next to improve decision making? On top-down task driven feature saliency,” in Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on, 2011, p. 1–7.
  [Bibtex]

  @inproceedings{hansen2011measure,
  Author = {Hansen, L.K. and Karadogan, S.G. and Marchegiani, L.},
  Booktitle = {Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on},
  Organization = {IEEE},
  Pages = {1--7},
  Title = {What to measure next to improve decision making? On top-down task driven feature saliency},
  Year = {2011}}

2009

• L. Marchegiani, F. Pirri, and M. Pizzoli, “Multimodal speaker recognition in a conversation scenario,” in Computer Vision Systems, Springer, 2009, p. 11–20.
  [Bibtex]

  @incollection{marchegiani2009multimodal,
  Author = {Marchegiani, L. and Pirri, F. and Pizzoli, M.},
  Booktitle = {Computer Vision Systems},
  Pages = {11--20},
  Publisher = {Springer},
  Title = {Multimodal speaker recognition in a conversation scenario},
  Year = {2009}}