Associate Professor Fabio Ramos

PhD Sydney (2008)
Associate Professor
School of Information Technologies

J12 - The School of Information Technologies
The University of Sydney

Telephone +61 2 9036 7058
Fax +61 2 9351 7474

Website Australian Centre for Field Robotics

School of Information Technologies

Curriculum vitae Curriculum vitae

Research interests

In recent years we've seen a proliferation of sensors and embedded computer systems in everyday devices, capable of capturing vast amounts of information in almost all areas of human activity - cars with GPSs and reverse-parking sensors, mobile phones with integrated cameras, outdoor lights that automatically come on at dusk. But the ready availability of such information does not ensure its efficient use, or that of the device that captures it. Associate Professor Fabio Ramos' research aims to address this issue.

"For many years I've been intrigued with how humans can process so much information so quickly through their natural senses of vision, hearing, smell and so on. In an unconscious manner, everything we perceive is combined to create a seamless interpretation of our current environment or situation.

"I've been trying to replicate these capabilities in machines - from autonomous cars that can drive themselves to iron ore mines with multiple heavy automated vehicles and, in a new and exciting project, geophysical data collected from the entire continent being fused together to estimate potential locations for geothermal power plants.

"There's a lot of data out there. How best to make sense of it while understanding the relationships between different natural phenomena is what excites me about my research.

"One of my ultimate goals is to develop a robot that can learn about the world by experience, as a child does in the early stages of life. I'd also like to develop devices to help people with cognitive impairment (such as from dementia) to regain some of their independence.

"I've been working in this field since in 1997, and joined the University of Sydney in 2003. Through the School of Information Technologies and the Australian Centre for Field Robotics, the University has given me excellent opportunities to develop my career."

Teaching and supervision

COMP3308 - Introduction to Artificial Intelligence

COMP3608 - Intro. to Artificial Intelligence (Adv)

In the media

Students

Visitors

  • Guilherme Bastos (ITA, Brazil)
  • Pablo Guerrero (Uni. of Chile, Chile)
  • (Samuel) Zuolei Sun (Shanghai Jiao Tong University, China)
  • Cesar Dario Cadena Lerma (University of Zaragoza, Spain)
  • Karl Granstrom (Linkoping University, Sweden)
  • Jonas Callmer (Linkoping University, Sweden)
  • Amarjeet Singh (UCLA, USA)
  • Brandon Basso (UC Berkeley, USA)
  • Nabil Hajj Chehade (UCLA, USA)
  • Thomas Kanold (Technische Universitaet Darmstadt, Germany)
  • Emanuel Walldén Viklund (Linkoping University, Sweden)
  • Johan Wågberg (Linkoping University, Sweden)

Alumni

Selected grants

2014

  • Multi-modal filtering for nonlinear dynamical systems; Ramos F, Chawla S, Fox D; DVC International/IPDF Grant.

2013

  • Sydney Neuroscience Network; Balleine B, Absalom N, Braddon-Mitchell D, Callaghan S, Chawla S, Christie M, Collins M, Einfeld S, Grieve S, Haber P, Hanrahan J, Harris A, Hickie I, Kassiou M, Kril J, Meikle S, Morris R, Ramos F, Rong Y, Sue C; DVC Research/Research Network Scheme (SyReNS).
  • Probabilistic graphical models for detecting outbreaks; Ramos F, Chawla S; Australian Research Council (ARC)/Discovery Projects (DP).

2012

  • ROI: Activity recognition from a wearable camera (2012-033); Faux S, Ramos F.
  • Data fusion and active sensing for environment monitoring; Ramos F; Australian Research Council (ARC)/Discovery Early Career Researcher Award (DECRA).

2008

  • Learning from Uncertain and Missing labelling in Relational Data; Ramos F; Australian Research Council (ARC)/Discovery Projects (DP).

Selected publications

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Books

  • Ramos, F. (2009). Recognising, Representing and Mapping in Field Robotics: A Statistical View to Perception in Unstructured Environments. Germany: VDM Verlag Dr Muller.

Edited Books

  • Ramos, F., Brock, O., Trinkle, J. (2009). Robotics: Science and Systems IV. United States: MIT Press.

Book Chapters

  • Bryson, M., Reid, A., Hung, C., Ramos, F., Sukkarieh, S. (2014). Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications. In Oussama Khatib, Vijay Kumar, Gaurav Sukhatme (Eds.), Experimental Robotics: The 12th International Symposium on Experimental Robotics, (pp. 509-523). Heidelberg: Springer.
  • Guizilini, V., Ramos, F. (2014). Multi-task Learning of Visual Odometry Estimators. In Oussama Khatib, Vijay Kumar, Gaurav Sukhatme (Eds.), Experimental Robotics: The 12th International Symposium on Experimental Robotics, (pp. 727-742). Heidelberg: Springer.
  • Ramos, F., Kadous, W., Fox, D. (2009). Learning to Associate Image Features with CRF-Matching. In Oussama Khatib, Vijay Kumar,George J. Pappas (Eds.), Springer Tracts in Advanced Robotics-Experimental Robotics-The Eleventh International Symposium, (pp. 505-514). Germany: Springer.
  • Ramos, F., Nieto, J., Durrant-Whyte, H. (2008). Combining Object Recognition and SLAM for Extended Map Representations. In Oussama Khatib, Vijay Kumar, Daniela Rus (Eds.), Experimental Robotics- the 10th International Symposium on Experimental Robotics, (pp. 55-64). Germany: Springer.
  • Upcroft, B., Ridley, M., Ong, L., Douillard, B., Kaupp, T., Sureshkumar, S., Bailey, T., Ramos, F., Makarenko, A., Brooks, A., Sukkarieh, S., Durrant-Whyte, H. (2008). Multi-level State Estimation in an Outdoor Decentralised Sensor Network. In Oussama Khatib, Vijay Kumar, Daniela Rus (Eds.), Experimental Robotics- the 10th International Symposium on Experimental Robotics, (pp. 355-365). Germany: Springer.

Journals

  • Guizilini, V., Ramos, F. (2013). Semi-parametric learning for visual odometry. International Journal of Robotics Research, 32(5), 526-546. [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]
  • Ramos, F., Upcroft, B., Kumar, S., Durrant-Whyte, H. (2012). A Bayesian approach for place recognition. Robotics and Autonomous Systems, 60(4), 487-497. [More Information]
  • O'Callaghan, S., Ramos, F. (2012). Gaussian process occupancy maps. International Journal of Robotics Research, 31(1), 42-62. [More Information]
  • Sun, Z., Van de Ven, J., Ramos, F., Mao, X., Durrant-Whyte, H. (2012). Inferring laser-scan matching uncertainty with conditional random fields. Robotics and Autonomous Systems, 60(1), 83-94. [More Information]
  • Douillard, B., Fox, D., Ramos, F., Durrant-Whyte, H. (2011). Classification and semantic mapping of urban environments. International Journal of Robotics Research, 30(1), 5-32. [More Information]
  • Granstrom, K., Schon, T., Nieto, J., Ramos, F. (2011). Learning to close loops from range data. International Journal of Robotics Research, 30(14), 1728-1754. [More Information]
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2010). A Mine on Its Own - Fully Autonomous, Remotely Operated Mine. IEEE Robotics and Automation Magazine, 17(2), 63-73.
  • Bryson, M., Reid, A., Ramos, F., Sukkarieh, S. (2010). Airborne Vision-Based Mapping and Classification of Large Farmland Environments. Journal of Field Robotics, 27(5), 632-655.
  • Douillard, B., Fox, D., Ramos, F., Durrant-Whyte, H. (2010). Classification and Semantic Mapping of Urban Environments. International Journal of Robotics Research, 30(1), 5-32. [More Information]
  • Kadkhodaie-Ilkhchi, A., Monteiro, S., Ramos, F., Hatherly, P. (2010). Rock recognition from MWD data: A comparative study of boosting, neural networks, and fuzzy logic. IEEE Geoscience and Remote Sensing Letters, 7(4), 680-684.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2009). Gaussian Process Modeling of Large-Scale Terrain. Journal of Field Robotics, 26(10), 812-840. [More Information]
  • Ramos, F., Sureshkumar, S., Upcroft, B., Durrant-Whyte, H. (2008). A natural feature representation for unstructured environments. IEEE Transactions on Robotics, 24(6), 1329-1340.
  • Ramos, F., Dickson, B., Sureshkumar, S. (2007). Denoising Aerial Gamma-Ray Surveying Through Non-Linear Dimensionality Reduction. Journal of Field Robotics, 24(10), 849-861. [More Information]
  • Kaupp, T., Douillard, B., Ramos, F., Makarenko, A., Upcroft, B. (2007). Shared Environment Representation for a Human-Robot Team Performing Information Fusion. Journal of Field Robotics, 24(11), 911-942. [More Information]

Conferences

  • Marchant Matus, R., Ramos, F. (2014). Bayesian Optimisation for Informative Path Planning. 2014 IEEE International Conference on Robotics and Automation (ICRA), Piscataway: IEEE.
  • Gerardo Castro, M., Peynot, T., Ramos, F., Fitch, R. (2014). Robust multiple-sensing-modality sata fusion using Gaussian process implicit surfaces. 17th International Conference on Information Fusion (Fusion 2014), Piscataway, New Jersey, United States of America: IEEE.
  • Reid, A., Ramos, F., Sukkarieh, S. (2013). Bayesian fusion for multi-modal aerial images. Robotics: Science and Systems IX, Berlin, Germany: Robotics: Science and Systems.
  • Reid, A., O’Callaghan, S., Bonilla, E., McCalman, L., Rawling, T., Ramos, F. (2013). Bayesian Joint Inversions for the Exploration of Earth Resources. Twenty-Third International Joint Conference on Artificial Intelligence: Al and Computational Sustainability (IJCAI-13), Palo Alto, USA: AAAI Press.
  • Gerardo Castro, M., Peynot, T., Ramos, F. (2013). Laser-Radar Data Fusion with Gaussian Process Implicit Surfaces. 9th Conference on Field and Service Robotics (FSR), Brisbane, Australia: Australian Robotics and Automation Association (ARAA).
  • McCalman, L., O'Callaghan, S., Ramos, F. (2013). Multi-Modal Estimation with Kernel Embeddings for Learning Motion Models. 2013 IEEE International Conference on Robotics and Automation (ICRA), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Ott, L., Ramos, F. (2013). Multi-Sensor Clustering using Layered Affinity Propagation. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan: IEEE. [More Information]
  • Guizilini, V., Ramos, F. (2013). Online Self-Supervised Segmentation of Dynamic Objects. 2013 IEEE International Conference on Robotics and Automation (ICRA), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Zhan, K., Ramos, F., Faux, S. (2012). Activity Recognition from a Wearable Camera. 12th International Conference on Control, Automation, Robotics and Vision ICARCV 2012, Guangzhou: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Zhou, C., Hatherly, P., Monteiro, S., Ramos, F., Oppolzer, F., Nettleton, E., Scheding, S. (2012). Automatic Rock Recognition from Drilling Performance Data. 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), Piscataway, NJ, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Marchant Matus, R., Ramos, F. (2012). Bayesian Optimisation for Intelligent Environmental Monitoring. 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, NJ: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Chehade, N., Ozisik, P., Gomez, J., Ramos, F., Pottie, G. (2012). Detecting Stumbles with a Single Accelerometer. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 2012, Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Garg, S., Singh, A., Ramos, F. (2012). Efficient Space-Time Modeling for Informative Sensing. Sixth International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '12), New York: Association for Computing Machinery (ACM). [More Information]
  • Garg, S., Singh, A., Ramos, F. (2012). Learning Non-Stationary Space-Time Models for Environmental Monitoring. 26th AAAI Conference on Artificial Intelligence AAAI 2012, Palo Alto: Association for the Advancement of Artificial Intelligence.
  • Guizilini, V., Ramos, F. (2012). Semi-parametric Models for Visual Odometry. 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), Piscataway, NJ, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ball, A., Rye, D., Ramos, F., Velonaki, M. (2012). Unsupervised clustering of people from `Skeleton' data. 7th ACM/IEEE International Conference on Human-Robot Interaction, New York, NY, USA: Association for Computing Machinery (ACM).
  • 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: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Ball, A., Rye, D., Ramos, F., Velonaki, M. (2011). A Comparison of Unsupervised Learning Algorithms for Gesture Clustering. 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2011).
  • Bastos, G., Souza, L., Ramos, F., Ribeiro, C. (2011). A Single-dependent Agent Approach for Stochastic Time-Dependent Truck Dispatching in Open-pit Mining. 14th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2011), Washington, DC, USA: OmniPress. [More Information]
  • Zhou, C., Hatherly, P., Ramos, F., Nettleton, E. (2011). An Adaptive Data Driven Model for Characterizing Rock Properties from Drilling Data. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • O'Callaghan, S., Ramos, F. (2011). Continuous Occupancy Mapping with Integral Kernels. 25th AAAI Conference on Artificial Intelligence, USA: Association for the Advancement of Artificial Intelligence.
  • Van de Ven, J., Ramos, F. (2011). Distributed Anytime MAP Inference. 27th Conference on Uncertainty in Artificial Intelligence UAI 2011, United States: AUAI Press.
  • Monteiro, S., Van de Ven, J., Ramos, F., Hatherly, P. (2011). Learning 3D geological structure from drill-rig sensors for automated mining. 22nd International Joint Conference on Artificial Intelligence, Menlo Park, California, USA: AAAI Press. [More Information]
  • O'Callaghan, S., Singh, S., Alempijevic, A., Ramos, F. (2011). Learning Navigational Maps by Observing Human Motion Patterns. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Reid, A., Ramos, F., Sukkarieh, S. (2011). Multi-Class Classification of Vegetation in Natural Environments Using an Unmanned Aerial System. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Melkumyan, A., Ramos, F. (2011). Multi-kernel Gaussian processes. 22nd International Joint Conference on Artificial Intelligence, Menlo Park, California, USA: AAAI Press. [More Information]
  • Zubizarreta-Rodriguez, J., Ramos, F. (2011). Multi-Task Learning of System Dynamics with Maximum Information Gain. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Melkumyan, A., Ramos, F. (2011). Non-Parametric Bayesian Learning for Resource Estimation in the Autonomous Mine. 35th APCOM Symposium 2011, Carlton, Victoria: The Australasian Institute of Mining and Metallurgy.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2011). Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Guizilini, V., Ramos, F. (2011). Visual Odometry Learning for Unmanned Aerial Vehicles. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Van de Ven, J., Ramos, F., Tipaldi, G. (2010). An integrated probabilistic model for scan-matching, moving object detection and motion estimation. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Bryson, M., Reid, A., Ramos, F., Sukkarieh, S. (2010). An unmanned airborne system for vision-based mapping and classification in ecological monitoring applications. Australasian Remote Sensing & Photogrammetry Conference.
  • Zhou, C., Monteiro, S., Hatherly, P., Ramos, F., Nettleton, E., Oppolzer, F. (2010). Automated rock recognition with wavelet feature space projection and gaussian process classification. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • O'Callaghan, S., Ramos, F., Durrant-Whyte, H. (2010). Contextual Occupancy Maps Incorporating Sensor and Location Uncertainty. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Bryson, M., Reid, A., Hung, C., Ramos, F., Sukkarieh, S. (2010). Cost-Effective Mapping using Unmanned Aerial Vehicles in Ecology Monitoring Applications. 12th International Symposium on Experimental Robotics 2010.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2010). Heteroscedastic gaussian processes for data fusion in large scale terrain modeling. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Zhou, C., Ramos, F., Nettleton, E. (2010). Improving Kernel Methods through Complex Data Mapping. 10th IEEE International Conference on Data Mining (ICDM 2010), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Sun, Z., Van de Ven, J., Ramos, F., Mao, X., Durrant-Whyte, H. (2010). Inferring Motion Uncertainty from Shape-Matching. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2010). Large-scale terrain modeling from multiple sensors with dependent Gaussian processes. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, NJ: (IEEE) Institute of Electrical and Electronics Engineers.
  • Singh, A., Ramos, F., Durrant-Whyte, H., Kaiser, W. (2010). Modeling and decision making in spatio-temporal processes for environmental surveillance. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Guizilini, V., Ramos, F. (2010). Multi-Task Learning of Visual Odometry Estimators. 12th International Symposium on Experimental Robotics 2010.
  • Cadena, C., Galvez-Lopez, D., Ramos, F., Tardos, J., Neira, J. (2010). Robust Place Recognition with Stereo Cameras. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, NJ: (IEEE) Institute of Electrical and Electronics Engineers.
  • Douillard, B., Brooks, A., Ramos, F. (2009). A 3D laser and vision based classifier. 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2009), United States of America: (IEEE) Institute of Electrical and Electronics Engineers.
  • Melkumyan, A., Ramos, F. (2009). A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets. Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09), Menlo Park, California: AAAI Press.
  • Monteiro, S., Murphy, R., Ramos, F., Nieto, J. (2009). Applying Boosting for Hyperspectral Classification of Ore-Bearing Rocks. 2009 IEEE International Workshop on Machine Learning For Signal Processing (MLSP 2009), Grenoble, France: (IEEE) Institute of Electrical and Electronics Engineers.
  • Monteiro, S., Ramos, F., Hatherly, P. (2009). Conditional random fields for rock characterization using drill measurements. Eight International Conference on Machine Learning and Applications, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • O'Callaghan, S., Ramos, F., Durrant-Whyte, H. (2009). Contextual Occupancy Maps using Gaussian Processes. 2009 IEEE International Conference on Robotics and Automation, Kobe, Japan: (IEEE) Institute of Electrical and Electronics Engineers.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2009). Evaluation of gaussian processes for large scale terrain modeling. 2009 Australasian Conference on Robotics and Automation, Sydney: Australian Robotics and Automation Association (ARAA).
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H., Blair, A. (2009). Gaussian Process Modeling of Large Scale Terrain. 2009 IEEE International Conference on Robotics and Automation, Kobe, Japan: (IEEE) Institute of Electrical and Electronics Engineers.
  • Granstrom, K., Callmer, J., Ramos, F., Nieto, J. (2009). Learning to Detect Loop Closure from Range Data. 2009 IEEE International Conference on Robotics and Automation, Kobe, Japan: (IEEE) Institute of Electrical and Electronics Engineers.
  • Tipaldi, G., Ramos, F. (2009). Motion clustering and estimation with conditional random fields. 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Zhou, C., Monteiro, S., Hatherly, P., Ramos, F., Nettleton, E., Oppolzer, F. (2009). Spectral feature selection for automated rock recognition using gaussian process classification. 2009 Australasian Conference on Robotics and Automation, Sydney: Australian Robotics and Automation Association (ARAA).
  • Douillard, B., Fox, D., Ramos, F. (2008). Laser and Vision Based Outdoor Object Mapping. Robotics: Science and Systems IV 2008 Conference, Zurich, Switzerland: Institute of Robotics and Intelligent Systems (IRIS).
  • Callmer, J., Granstrom, K., Nieto, J., Ramos, F. (2008). Tree of Words for Visual Loop Closure Detection in Urban SLAM. Australasian Conference on Robotics and Automation 2008, Canberra, Australia: Australian Robotics and Automation Association (ARAA).
  • Douillard, B., Fox, D., Ramos, F. (2007). A Spatio-Temporal Probabilistic Model for Multi-Sensor Object Recognition. IEEE/RSJ 2007 International Conference on Intelligent Robots and Systems (IROS 2007), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Douillard, B., Upcroft, B., Kaupp, T., Ramos, F., Durrant-Whyte, H. (2007). Bayesian filtering over compressed appearance states. Australasian Conference on Robotics and Automation (ACRA), Brisbane, Australia: Australian Robotics and Automation Association (ARAA).
  • Ramos, F., Hatherly, P. (2007). Learning to Characterise Rock Properties from Geophysical Logs. 2007 Australian Mining Technology Conference 'Smart Technologies for Overcoming the Skills Shortage', Carlton, Victoria, Australia: The Australasian Institute of Mining and Metallurgy.
  • Underwood, J., Scheding, S., Ramos, F. (2007). Real-Time Map Building with Uncertainty using Colour Camera and Scanning Laser. Australasian Conference on Robotics and Automation (ACRA), Brisbane, Australia: Australian Robotics and Automation Association (ARAA).
  • Ramos, F., Nieto, J., Durrant-Whyte, H. (2007). Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM. 2007 IEEE International Conference on Robotics and Automation ICRA 2007, United States: (IEEE) Institute of Electrical and Electronics Engineers.
  • Sureshkumar, S., Ramos, F., Douillard, B., Ridley, M., Durrant-Whyte, H. (2006). A Novel Visual Perception Framework. ICARCV 2006 Ninth International Conference on Control, Automation, Robotics and Vision, Singapore: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ramos, F., Nieto, J., Durrant-Whyte, H. (2006). Combining Object Recognition and SLAM for Extended Map Representations. 10th International Symposium on Experimental Robotics (ISER). 10th International Symposium on Experimental Robotics (ISER).
  • Upcroft, B., Ridley, M., Ong, L., Douillard, B., Kaupp, T., Sureshkumar, S., Bailey, T., Ramos, F., Makarenko, A., Brooks, A., Sukkarieh, S., Durrant-Whyte, H. (2006). Multi-level State Estimation in an Outdoor Decentralised Sensor Network. 10th International Symposium on Experimental Robotics (ISER). 10th International Symposium on Experimental Robotics (ISER).
  • Wang, X., Sureshkumar, S., Ramos, F., Kaupp, T., Upcroft, B., Durrant-Whyte, H. (2006). Probabilistic Classification of Hyperspectral Images by Learning Nonlinear Dimensionality Reduction Mapping. 9th International Conference on Information Fusion (Fusion 2006), Florence, Italy: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ramos, F., Upcroft, B., Sureshkumar, S., Durrant-Whyte, H. (2006). Recognising and Segmenting Objects in Natural Environments. 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ramos, F., Upcroft, B., Sureshkumar, S., Durrant-Whyte, H. (2005). A Bayesian Approach for Place Recognition. IJCAI Workshop Reasoning with Uncertainty in Robotics, United States of America: Professional Book Center.
  • Sureshkumar, S., Ramos, F., Upcroft, B., Durrant-Whyte, H. (2005). A Statistical Framework for Natural Feature Representation. 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Canada: OmniPress.
  • Sureshkumar, S., Ramos, F., Upcroft, B., Ridley, M., Ong, L., Sukkarieh, S., Durrant-Whyte, H. (2005). A Stochastic Model for Natural Feature Representation. 8th International Conference on Information Fusion (Fusion 2005), United States of America: (IEEE) Institute of Electrical and Electronics Engineers.
  • Kaupp, T., Makarenko, A., Ramos, F., Upcroft, B., Williams, S., Durrant-Whyte, H. (2005). Adaptive Human Sensor Model in Sensor Networks. 8th International Conference on Information Fusion (Fusion 2005), United States of America: (IEEE) Institute of Electrical and Electronics Engineers.
  • Wang, X., Ramos, F. (2005). Applying Structural EM in Autonomous Planetary Exploration Missions using Hyperspectral Image Spectroscopy. 2005 IEEE International Conference on Robotics and Automation: Robots Get Closer To Humans ICRA 2005, United States: (IEEE) Institute of Electrical and Electronics Engineers.
  • Kaupp, T., Makarenko, A., Ramos, F., Durrant-Whyte, H. (2005). Human Sensor Model for Range Observations. IJCAI Workshop Reasoning with Uncertainty in Robotics, United States of America: Professional Book Center.
  • Ramos, F., Durrant-Whyte, H., Upcroft, B. (2005). Learning Articulated Motion Structures with Bayesian Networks. 8th International Conference on Information Fusion (Fusion 2005), United States of America: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ramos, F., Sureshkumar, S., Upcroft, B., Durrant-Whyte, H. (2005). Representing Natural Objects in Unstructured Environments. NIPS 2005 Workshop on Machine Learning Based Robotics in Unstructured Environments, Online: NIPS Workshop, 2005 Conference organisers.

Patents

  • Melkumyan, A., Ramos, F. (2013). Multi-task GPs With Adoption For Each Individual Task [SU05]. Patent No. 8438121.
  • Nettleton, E., Hennessy, R., Durrant-Whyte, H., Goktogan, A., Hatherly, P., Ramos, F. (2013). Geographical Region Imaging [SU09]. Patent No. 2335098, 3694. Other, South Africa.
  • Ramos, F., Melkumyan, A. (2010). A Method and System of Data Modelling [SU04]. Patent No. 2010/00100. South Africa.

2014

  • Marchant Matus, R., Ramos, F. (2014). Bayesian Optimisation for Informative Path Planning. 2014 IEEE International Conference on Robotics and Automation (ICRA), Piscataway: IEEE.
  • Bryson, M., Reid, A., Hung, C., Ramos, F., Sukkarieh, S. (2014). Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications. In Oussama Khatib, Vijay Kumar, Gaurav Sukhatme (Eds.), Experimental Robotics: The 12th International Symposium on Experimental Robotics, (pp. 509-523). Heidelberg: Springer.
  • Guizilini, V., Ramos, F. (2014). Multi-task Learning of Visual Odometry Estimators. In Oussama Khatib, Vijay Kumar, Gaurav Sukhatme (Eds.), Experimental Robotics: The 12th International Symposium on Experimental Robotics, (pp. 727-742). Heidelberg: Springer.
  • Gerardo Castro, M., Peynot, T., Ramos, F., Fitch, R. (2014). Robust multiple-sensing-modality sata fusion using Gaussian process implicit surfaces. 17th International Conference on Information Fusion (Fusion 2014), Piscataway, New Jersey, United States of America: IEEE.

2013

  • Melkumyan, A., Ramos, F. (2013). Multi-task GPs With Adoption For Each Individual Task [SU05]. Patent No. 8438121.
  • Reid, A., Ramos, F., Sukkarieh, S. (2013). Bayesian fusion for multi-modal aerial images. Robotics: Science and Systems IX, Berlin, Germany: Robotics: Science and Systems.
  • Reid, A., O’Callaghan, S., Bonilla, E., McCalman, L., Rawling, T., Ramos, F. (2013). Bayesian Joint Inversions for the Exploration of Earth Resources. Twenty-Third International Joint Conference on Artificial Intelligence: Al and Computational Sustainability (IJCAI-13), Palo Alto, USA: AAAI Press.
  • Nettleton, E., Hennessy, R., Durrant-Whyte, H., Goktogan, A., Hatherly, P., Ramos, F. (2013). Geographical Region Imaging [SU09]. Patent No. 2335098, 3694. Other, South Africa.
  • Gerardo Castro, M., Peynot, T., Ramos, F. (2013). Laser-Radar Data Fusion with Gaussian Process Implicit Surfaces. 9th Conference on Field and Service Robotics (FSR), Brisbane, Australia: Australian Robotics and Automation Association (ARAA).
  • McCalman, L., O'Callaghan, S., Ramos, F. (2013). Multi-Modal Estimation with Kernel Embeddings for Learning Motion Models. 2013 IEEE International Conference on Robotics and Automation (ICRA), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Ott, L., Ramos, F. (2013). Multi-Sensor Clustering using Layered Affinity Propagation. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan: IEEE. [More Information]
  • Guizilini, V., Ramos, F. (2013). Online Self-Supervised Segmentation of Dynamic Objects. 2013 IEEE International Conference on Robotics and Automation (ICRA), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Guizilini, V., Ramos, F. (2013). Semi-parametric learning for visual odometry. International Journal of Robotics Research, 32(5), 526-546. [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

  • Ramos, F., Upcroft, B., Kumar, S., Durrant-Whyte, H. (2012). A Bayesian approach for place recognition. Robotics and Autonomous Systems, 60(4), 487-497. [More Information]
  • Zhan, K., Ramos, F., Faux, S. (2012). Activity Recognition from a Wearable Camera. 12th International Conference on Control, Automation, Robotics and Vision ICARCV 2012, Guangzhou: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Zhou, C., Hatherly, P., Monteiro, S., Ramos, F., Oppolzer, F., Nettleton, E., Scheding, S. (2012). Automatic Rock Recognition from Drilling Performance Data. 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), Piscataway, NJ, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Marchant Matus, R., Ramos, F. (2012). Bayesian Optimisation for Intelligent Environmental Monitoring. 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, NJ: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Chehade, N., Ozisik, P., Gomez, J., Ramos, F., Pottie, G. (2012). Detecting Stumbles with a Single Accelerometer. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 2012, Piscataway: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Garg, S., Singh, A., Ramos, F. (2012). Efficient Space-Time Modeling for Informative Sensing. Sixth International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '12), New York: Association for Computing Machinery (ACM). [More Information]
  • O'Callaghan, S., Ramos, F. (2012). Gaussian process occupancy maps. International Journal of Robotics Research, 31(1), 42-62. [More Information]
  • Sun, Z., Van de Ven, J., Ramos, F., Mao, X., Durrant-Whyte, H. (2012). Inferring laser-scan matching uncertainty with conditional random fields. Robotics and Autonomous Systems, 60(1), 83-94. [More Information]
  • Garg, S., Singh, A., Ramos, F. (2012). Learning Non-Stationary Space-Time Models for Environmental Monitoring. 26th AAAI Conference on Artificial Intelligence AAAI 2012, Palo Alto: Association for the Advancement of Artificial Intelligence.
  • Guizilini, V., Ramos, F. (2012). Semi-parametric Models for Visual Odometry. 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), Piscataway, NJ, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ball, A., Rye, D., Ramos, F., Velonaki, M. (2012). Unsupervised clustering of people from `Skeleton' data. 7th ACM/IEEE International Conference on Human-Robot Interaction, New York, NY, USA: Association for Computing Machinery (ACM).
  • 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: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

2011

  • Ball, A., Rye, D., Ramos, F., Velonaki, M. (2011). A Comparison of Unsupervised Learning Algorithms for Gesture Clustering. 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2011).
  • Bastos, G., Souza, L., Ramos, F., Ribeiro, C. (2011). A Single-dependent Agent Approach for Stochastic Time-Dependent Truck Dispatching in Open-pit Mining. 14th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2011), Washington, DC, USA: OmniPress. [More Information]
  • Zhou, C., Hatherly, P., Ramos, F., Nettleton, E. (2011). An Adaptive Data Driven Model for Characterizing Rock Properties from Drilling Data. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Douillard, B., Fox, D., Ramos, F., Durrant-Whyte, H. (2011). Classification and semantic mapping of urban environments. International Journal of Robotics Research, 30(1), 5-32. [More Information]
  • O'Callaghan, S., Ramos, F. (2011). Continuous Occupancy Mapping with Integral Kernels. 25th AAAI Conference on Artificial Intelligence, USA: Association for the Advancement of Artificial Intelligence.
  • Van de Ven, J., Ramos, F. (2011). Distributed Anytime MAP Inference. 27th Conference on Uncertainty in Artificial Intelligence UAI 2011, United States: AUAI Press.
  • Monteiro, S., Van de Ven, J., Ramos, F., Hatherly, P. (2011). Learning 3D geological structure from drill-rig sensors for automated mining. 22nd International Joint Conference on Artificial Intelligence, Menlo Park, California, USA: AAAI Press. [More Information]
  • O'Callaghan, S., Singh, S., Alempijevic, A., Ramos, F. (2011). Learning Navigational Maps by Observing Human Motion Patterns. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Granstrom, K., Schon, T., Nieto, J., Ramos, F. (2011). Learning to close loops from range data. International Journal of Robotics Research, 30(14), 1728-1754. [More Information]
  • Reid, A., Ramos, F., Sukkarieh, S. (2011). Multi-Class Classification of Vegetation in Natural Environments Using an Unmanned Aerial System. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Melkumyan, A., Ramos, F. (2011). Multi-kernel Gaussian processes. 22nd International Joint Conference on Artificial Intelligence, Menlo Park, California, USA: AAAI Press. [More Information]
  • Zubizarreta-Rodriguez, J., Ramos, F. (2011). Multi-Task Learning of System Dynamics with Maximum Information Gain. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Melkumyan, A., Ramos, F. (2011). Non-Parametric Bayesian Learning for Resource Estimation in the Autonomous Mine. 35th APCOM Symposium 2011, Carlton, Victoria: The Australasian Institute of Mining and Metallurgy.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2011). Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Guizilini, V., Ramos, F. (2011). Visual Odometry Learning for Unmanned Aerial Vehicles. IEEE International Conference on Robotics and Automation ICRA 2011, USA: (IEEE) Institute of Electrical and Electronics Engineers.

2010

  • Ramos, F., Melkumyan, A. (2010). A Method and System of Data Modelling [SU04]. Patent No. 2010/00100. South Africa.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2010). A Mine on Its Own - Fully Autonomous, Remotely Operated Mine. IEEE Robotics and Automation Magazine, 17(2), 63-73.
  • Bryson, M., Reid, A., Ramos, F., Sukkarieh, S. (2010). Airborne Vision-Based Mapping and Classification of Large Farmland Environments. Journal of Field Robotics, 27(5), 632-655.
  • Van de Ven, J., Ramos, F., Tipaldi, G. (2010). An integrated probabilistic model for scan-matching, moving object detection and motion estimation. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Bryson, M., Reid, A., Ramos, F., Sukkarieh, S. (2010). An unmanned airborne system for vision-based mapping and classification in ecological monitoring applications. Australasian Remote Sensing & Photogrammetry Conference.
  • Zhou, C., Monteiro, S., Hatherly, P., Ramos, F., Nettleton, E., Oppolzer, F. (2010). Automated rock recognition with wavelet feature space projection and gaussian process classification. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Douillard, B., Fox, D., Ramos, F., Durrant-Whyte, H. (2010). Classification and Semantic Mapping of Urban Environments. International Journal of Robotics Research, 30(1), 5-32. [More Information]
  • O'Callaghan, S., Ramos, F., Durrant-Whyte, H. (2010). Contextual Occupancy Maps Incorporating Sensor and Location Uncertainty. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Bryson, M., Reid, A., Hung, C., Ramos, F., Sukkarieh, S. (2010). Cost-Effective Mapping using Unmanned Aerial Vehicles in Ecology Monitoring Applications. 12th International Symposium on Experimental Robotics 2010.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2010). Heteroscedastic gaussian processes for data fusion in large scale terrain modeling. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Zhou, C., Ramos, F., Nettleton, E. (2010). Improving Kernel Methods through Complex Data Mapping. 10th IEEE International Conference on Data Mining (ICDM 2010), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Sun, Z., Van de Ven, J., Ramos, F., Mao, X., Durrant-Whyte, H. (2010). Inferring Motion Uncertainty from Shape-Matching. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2010). Large-scale terrain modeling from multiple sensors with dependent Gaussian processes. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, NJ: (IEEE) Institute of Electrical and Electronics Engineers.
  • Singh, A., Ramos, F., Durrant-Whyte, H., Kaiser, W. (2010). Modeling and decision making in spatio-temporal processes for environmental surveillance. 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska: (IEEE) Institute of Electrical and Electronics Engineers.
  • Guizilini, V., Ramos, F. (2010). Multi-Task Learning of Visual Odometry Estimators. 12th International Symposium on Experimental Robotics 2010.
  • Cadena, C., Galvez-Lopez, D., Ramos, F., Tardos, J., Neira, J. (2010). Robust Place Recognition with Stereo Cameras. 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, NJ: (IEEE) Institute of Electrical and Electronics Engineers.
  • Kadkhodaie-Ilkhchi, A., Monteiro, S., Ramos, F., Hatherly, P. (2010). Rock recognition from MWD data: A comparative study of boosting, neural networks, and fuzzy logic. IEEE Geoscience and Remote Sensing Letters, 7(4), 680-684.

2009

  • Douillard, B., Brooks, A., Ramos, F. (2009). A 3D laser and vision based classifier. 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2009), United States of America: (IEEE) Institute of Electrical and Electronics Engineers.
  • Melkumyan, A., Ramos, F. (2009). A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets. Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09), Menlo Park, California: AAAI Press.
  • Monteiro, S., Murphy, R., Ramos, F., Nieto, J. (2009). Applying Boosting for Hyperspectral Classification of Ore-Bearing Rocks. 2009 IEEE International Workshop on Machine Learning For Signal Processing (MLSP 2009), Grenoble, France: (IEEE) Institute of Electrical and Electronics Engineers.
  • Monteiro, S., Ramos, F., Hatherly, P. (2009). Conditional random fields for rock characterization using drill measurements. Eight International Conference on Machine Learning and Applications, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • O'Callaghan, S., Ramos, F., Durrant-Whyte, H. (2009). Contextual Occupancy Maps using Gaussian Processes. 2009 IEEE International Conference on Robotics and Automation, Kobe, Japan: (IEEE) Institute of Electrical and Electronics Engineers.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2009). Evaluation of gaussian processes for large scale terrain modeling. 2009 Australasian Conference on Robotics and Automation, Sydney: Australian Robotics and Automation Association (ARAA).
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H., Blair, A. (2009). Gaussian Process Modeling of Large Scale Terrain. 2009 IEEE International Conference on Robotics and Automation, Kobe, Japan: (IEEE) Institute of Electrical and Electronics Engineers.
  • Vasudevan, S., Ramos, F., Nettleton, E., Durrant-Whyte, H. (2009). Gaussian Process Modeling of Large-Scale Terrain. Journal of Field Robotics, 26(10), 812-840. [More Information]
  • Ramos, F., Kadous, W., Fox, D. (2009). Learning to Associate Image Features with CRF-Matching. In Oussama Khatib, Vijay Kumar,George J. Pappas (Eds.), Springer Tracts in Advanced Robotics-Experimental Robotics-The Eleventh International Symposium, (pp. 505-514). Germany: Springer.
  • Granstrom, K., Callmer, J., Ramos, F., Nieto, J. (2009). Learning to Detect Loop Closure from Range Data. 2009 IEEE International Conference on Robotics and Automation, Kobe, Japan: (IEEE) Institute of Electrical and Electronics Engineers.
  • Tipaldi, G., Ramos, F. (2009). Motion clustering and estimation with conditional random fields. 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ramos, F. (2009). Recognising, Representing and Mapping in Field Robotics: A Statistical View to Perception in Unstructured Environments. Germany: VDM Verlag Dr Muller.
  • Ramos, F., Brock, O., Trinkle, J. (2009). Robotics: Science and Systems IV. United States: MIT Press.
  • Zhou, C., Monteiro, S., Hatherly, P., Ramos, F., Nettleton, E., Oppolzer, F. (2009). Spectral feature selection for automated rock recognition using gaussian process classification. 2009 Australasian Conference on Robotics and Automation, Sydney: Australian Robotics and Automation Association (ARAA).

2008

  • Ramos, F., Sureshkumar, S., Upcroft, B., Durrant-Whyte, H. (2008). A natural feature representation for unstructured environments. IEEE Transactions on Robotics, 24(6), 1329-1340.
  • Ramos, F., Nieto, J., Durrant-Whyte, H. (2008). Combining Object Recognition and SLAM for Extended Map Representations. In Oussama Khatib, Vijay Kumar, Daniela Rus (Eds.), Experimental Robotics- the 10th International Symposium on Experimental Robotics, (pp. 55-64). Germany: Springer.
  • Douillard, B., Fox, D., Ramos, F. (2008). Laser and Vision Based Outdoor Object Mapping. Robotics: Science and Systems IV 2008 Conference, Zurich, Switzerland: Institute of Robotics and Intelligent Systems (IRIS).
  • Upcroft, B., Ridley, M., Ong, L., Douillard, B., Kaupp, T., Sureshkumar, S., Bailey, T., Ramos, F., Makarenko, A., Brooks, A., Sukkarieh, S., Durrant-Whyte, H. (2008). Multi-level State Estimation in an Outdoor Decentralised Sensor Network. In Oussama Khatib, Vijay Kumar, Daniela Rus (Eds.), Experimental Robotics- the 10th International Symposium on Experimental Robotics, (pp. 355-365). Germany: Springer.
  • Callmer, J., Granstrom, K., Nieto, J., Ramos, F. (2008). Tree of Words for Visual Loop Closure Detection in Urban SLAM. Australasian Conference on Robotics and Automation 2008, Canberra, Australia: Australian Robotics and Automation Association (ARAA).

2007

  • Douillard, B., Fox, D., Ramos, F. (2007). A Spatio-Temporal Probabilistic Model for Multi-Sensor Object Recognition. IEEE/RSJ 2007 International Conference on Intelligent Robots and Systems (IROS 2007), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Douillard, B., Upcroft, B., Kaupp, T., Ramos, F., Durrant-Whyte, H. (2007). Bayesian filtering over compressed appearance states. Australasian Conference on Robotics and Automation (ACRA), Brisbane, Australia: Australian Robotics and Automation Association (ARAA).
  • Ramos, F., Dickson, B., Sureshkumar, S. (2007). Denoising Aerial Gamma-Ray Surveying Through Non-Linear Dimensionality Reduction. Journal of Field Robotics, 24(10), 849-861. [More Information]
  • Ramos, F., Hatherly, P. (2007). Learning to Characterise Rock Properties from Geophysical Logs. 2007 Australian Mining Technology Conference 'Smart Technologies for Overcoming the Skills Shortage', Carlton, Victoria, Australia: The Australasian Institute of Mining and Metallurgy.
  • Underwood, J., Scheding, S., Ramos, F. (2007). Real-Time Map Building with Uncertainty using Colour Camera and Scanning Laser. Australasian Conference on Robotics and Automation (ACRA), Brisbane, Australia: Australian Robotics and Automation Association (ARAA).
  • Ramos, F., Nieto, J., Durrant-Whyte, H. (2007). Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM. 2007 IEEE International Conference on Robotics and Automation ICRA 2007, United States: (IEEE) Institute of Electrical and Electronics Engineers.
  • Kaupp, T., Douillard, B., Ramos, F., Makarenko, A., Upcroft, B. (2007). Shared Environment Representation for a Human-Robot Team Performing Information Fusion. Journal of Field Robotics, 24(11), 911-942. [More Information]

2006

  • Sureshkumar, S., Ramos, F., Douillard, B., Ridley, M., Durrant-Whyte, H. (2006). A Novel Visual Perception Framework. ICARCV 2006 Ninth International Conference on Control, Automation, Robotics and Vision, Singapore: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ramos, F., Nieto, J., Durrant-Whyte, H. (2006). Combining Object Recognition and SLAM for Extended Map Representations. 10th International Symposium on Experimental Robotics (ISER). 10th International Symposium on Experimental Robotics (ISER).
  • Upcroft, B., Ridley, M., Ong, L., Douillard, B., Kaupp, T., Sureshkumar, S., Bailey, T., Ramos, F., Makarenko, A., Brooks, A., Sukkarieh, S., Durrant-Whyte, H. (2006). Multi-level State Estimation in an Outdoor Decentralised Sensor Network. 10th International Symposium on Experimental Robotics (ISER). 10th International Symposium on Experimental Robotics (ISER).
  • Wang, X., Sureshkumar, S., Ramos, F., Kaupp, T., Upcroft, B., Durrant-Whyte, H. (2006). Probabilistic Classification of Hyperspectral Images by Learning Nonlinear Dimensionality Reduction Mapping. 9th International Conference on Information Fusion (Fusion 2006), Florence, Italy: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ramos, F., Upcroft, B., Sureshkumar, S., Durrant-Whyte, H. (2006). Recognising and Segmenting Objects in Natural Environments. 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, USA: (IEEE) Institute of Electrical and Electronics Engineers.

2005

  • Ramos, F., Upcroft, B., Sureshkumar, S., Durrant-Whyte, H. (2005). A Bayesian Approach for Place Recognition. IJCAI Workshop Reasoning with Uncertainty in Robotics, United States of America: Professional Book Center.
  • Sureshkumar, S., Ramos, F., Upcroft, B., Durrant-Whyte, H. (2005). A Statistical Framework for Natural Feature Representation. 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Canada: OmniPress.
  • Sureshkumar, S., Ramos, F., Upcroft, B., Ridley, M., Ong, L., Sukkarieh, S., Durrant-Whyte, H. (2005). A Stochastic Model for Natural Feature Representation. 8th International Conference on Information Fusion (Fusion 2005), United States of America: (IEEE) Institute of Electrical and Electronics Engineers.
  • Kaupp, T., Makarenko, A., Ramos, F., Upcroft, B., Williams, S., Durrant-Whyte, H. (2005). Adaptive Human Sensor Model in Sensor Networks. 8th International Conference on Information Fusion (Fusion 2005), United States of America: (IEEE) Institute of Electrical and Electronics Engineers.
  • Wang, X., Ramos, F. (2005). Applying Structural EM in Autonomous Planetary Exploration Missions using Hyperspectral Image Spectroscopy. 2005 IEEE International Conference on Robotics and Automation: Robots Get Closer To Humans ICRA 2005, United States: (IEEE) Institute of Electrical and Electronics Engineers.
  • Kaupp, T., Makarenko, A., Ramos, F., Durrant-Whyte, H. (2005). Human Sensor Model for Range Observations. IJCAI Workshop Reasoning with Uncertainty in Robotics, United States of America: Professional Book Center.
  • Ramos, F., Durrant-Whyte, H., Upcroft, B. (2005). Learning Articulated Motion Structures with Bayesian Networks. 8th International Conference on Information Fusion (Fusion 2005), United States of America: (IEEE) Institute of Electrical and Electronics Engineers.
  • Ramos, F., Sureshkumar, S., Upcroft, B., Durrant-Whyte, H. (2005). Representing Natural Objects in Unstructured Environments. NIPS 2005 Workshop on Machine Learning Based Robotics in Unstructured Environments, Online: NIPS Workshop, 2005 Conference organisers.

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