Dr Lionel Ott

Research Fellow
School of Computer Science

J12 - The School of Information Technologies
The University of Sydney


Website School of Computer Science

Selected publications

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Journals

  • Ramos, F., Ott, L. (2016). Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent. International Journal of Robotics Research, 35(14), 1717-1730. [More Information]
  • Ott, L., Ramos, F. (2013). Unsupervised online learning for long-term autonomy. International Journal of Robotics Research, 32(14), 1724-1741. [More Information]

Conferences

  • Dos Santos De Oliveira, R., Ott, L., Ramos, F. (2018). Bayesian Optimisation for Safe Navigation under Localisation Uncertainty (forthcoming). 18th International Symposium on Robotics Research (ISRR 2017), Puerto Varas: Springer.
  • Francis, G., Ott, L., Ramos, F. (2018). Functional Path Optimisation for Exploration in Continuous Occupancy Maps (forthcoming). 18th International Symposium on Robotics Research (ISRR 2017), Puerto Varas: Springer.
  • Blau, T., Ott, L., Ramos, F. (2018). Improving Reinforcement Learning Pre-Training with Variational Dropout. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Piscataway: IEEE Computer Society. [More Information]
  • Dos Santos De Oliveira, R., Rocha, F., Ott, L., Guizilini, V., Ramos, F., Grassi, V. (2018). Learning to Race Through Coordinate Descent Bayesian Optimisation. 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ganegedara, T., Ott, L., Ramos, F. (2017). Learning to Navigate by Growing Deep Networks. Australasian Conference on Robotics and Automation (ACRA 2017), Sydney: Australian Robotics and Automation Association (ARAA).
  • Weerasiriwardhane, C., Ott, L., Ramos, F. (2017). Online Learning for Scene Segmentation With Laser-Constrained CRFs. 2017 IEEE International Conference on Robotics and Automation (ICRA 2017), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Francis, G., Ott, L., Ramos, F. (2017). Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps. 2017 IEEE International Conference on Robotics and Automation (ICRA 2017), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Dos Santos De Oliveira, R., Ott, L., Ramos, F. (2016). Active Perception for Modelling Energy Consumption in Off-Road Navigation. Australasian Conference on Robotics and Automation (ARAA 2016), Brisbane: Australian Robotics and Automation Association (ARAA).
  • Bewley, A., Ott, L., Ramos, F., Upcroft, B. (2016). ALExTRAC: Affinity Learning by Exploring Temporal Reinforcement within Association Chains. 2016 IEEE International Conference on Robotics and Automation (ICRA), New Jersey: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ganegedara, T., Ott, L., Ramos, F. (2016). Online Adaptation of Deep Architectures with Reinforcement Learning. 22nd European Conference on Artificial Intelligence (ECAI 2016), Amsterdam: IOS Press. [More Information]
  • Bewley, A., Ge, Z., Ott, L., Ramos, F., Upcroft, B. (2016). Simple online and realtime tracking. 23rd IEEE International Conference on Image Processing (ICIP 2016), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Senanayake, R., Ott, L., O�Callaghan, S., Ramos, F. (2016). Spatio�Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments. 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona: Neural Information Processing Systems Foundation.
  • De Alvis, C., Ott, L., Ramos, F. (2016). Urban Scene Segmentation with Laser-Constrained CRFs. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeon: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ramos, F., Ott, L. (2015). Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent. Robotics: Science and Systems X1, Online: Robotics: Science and Systems. [More Information]
  • Souza, J., Marchant Matus, R., Ott, L., Wolf, D., Ramos, F. (2014). Bayesian optimisation for active perception and smooth navigation. 2014 IEEE International Conference on Robotics and Automation (ICRA), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ott, L., Pang, L., Ramos, F., Chawla, S. (2014). On Integrated Clustering and Outlier Detection. Neural Information Processing Systems Conference 2014, Montreal: Neural Information Processing Systems Foundation.
  • Ott, L., Ramos, F. (2013). Multi-Sensor Clustering using Layered Affinity Propagation. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ott, L., Ramos, F. (2012). Unsupervised Incremental Learning for Long-Term Autonomy. 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2018

  • Dos Santos De Oliveira, R., Ott, L., Ramos, F. (2018). Bayesian Optimisation for Safe Navigation under Localisation Uncertainty (forthcoming). 18th International Symposium on Robotics Research (ISRR 2017), Puerto Varas: Springer.
  • Francis, G., Ott, L., Ramos, F. (2018). Functional Path Optimisation for Exploration in Continuous Occupancy Maps (forthcoming). 18th International Symposium on Robotics Research (ISRR 2017), Puerto Varas: Springer.
  • Blau, T., Ott, L., Ramos, F. (2018). Improving Reinforcement Learning Pre-Training with Variational Dropout. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Piscataway: IEEE Computer Society. [More Information]
  • Dos Santos De Oliveira, R., Rocha, F., Ott, L., Guizilini, V., Ramos, F., Grassi, V. (2018). Learning to Race Through Coordinate Descent Bayesian Optimisation. 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2017

  • Ganegedara, T., Ott, L., Ramos, F. (2017). Learning to Navigate by Growing Deep Networks. Australasian Conference on Robotics and Automation (ACRA 2017), Sydney: Australian Robotics and Automation Association (ARAA).
  • Weerasiriwardhane, C., Ott, L., Ramos, F. (2017). Online Learning for Scene Segmentation With Laser-Constrained CRFs. 2017 IEEE International Conference on Robotics and Automation (ICRA 2017), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Francis, G., Ott, L., Ramos, F. (2017). Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps. 2017 IEEE International Conference on Robotics and Automation (ICRA 2017), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2016

  • Dos Santos De Oliveira, R., Ott, L., Ramos, F. (2016). Active Perception for Modelling Energy Consumption in Off-Road Navigation. Australasian Conference on Robotics and Automation (ARAA 2016), Brisbane: Australian Robotics and Automation Association (ARAA).
  • Bewley, A., Ott, L., Ramos, F., Upcroft, B. (2016). ALExTRAC: Affinity Learning by Exploring Temporal Reinforcement within Association Chains. 2016 IEEE International Conference on Robotics and Automation (ICRA), New Jersey: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ramos, F., Ott, L. (2016). Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent. International Journal of Robotics Research, 35(14), 1717-1730. [More Information]
  • Ganegedara, T., Ott, L., Ramos, F. (2016). Online Adaptation of Deep Architectures with Reinforcement Learning. 22nd European Conference on Artificial Intelligence (ECAI 2016), Amsterdam: IOS Press. [More Information]
  • Bewley, A., Ge, Z., Ott, L., Ramos, F., Upcroft, B. (2016). Simple online and realtime tracking. 23rd IEEE International Conference on Image Processing (ICIP 2016), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Senanayake, R., Ott, L., O�Callaghan, S., Ramos, F. (2016). Spatio�Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments. 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona: Neural Information Processing Systems Foundation.
  • De Alvis, C., Ott, L., Ramos, F. (2016). Urban Scene Segmentation with Laser-Constrained CRFs. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeon: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2015

  • Ramos, F., Ott, L. (2015). Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent. Robotics: Science and Systems X1, Online: Robotics: Science and Systems. [More Information]

2014

  • Souza, J., Marchant Matus, R., Ott, L., Wolf, D., Ramos, F. (2014). Bayesian optimisation for active perception and smooth navigation. 2014 IEEE International Conference on Robotics and Automation (ICRA), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ott, L., Pang, L., Ramos, F., Chawla, S. (2014). On Integrated Clustering and Outlier Detection. Neural Information Processing Systems Conference 2014, Montreal: Neural Information Processing Systems Foundation.

2013

  • Ott, L., Ramos, F. (2013). Multi-Sensor Clustering using Layered Affinity Propagation. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Ott, L., Ramos, F. (2013). Unsupervised online learning for long-term autonomy. International Journal of Robotics Research, 32(14), 1724-1741. [More Information]

2012

  • Ott, L., Ramos, F. (2012). Unsupervised Incremental Learning for Long-Term Autonomy. 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

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