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I am a postdoctoral scholar at the Stanford Intelligent Systems Laboratory (SISL) , working with Prof. Mykel Kochenderfer. I completed my PhD in Robot Learning and Machine Learning in Prof. Fabio Ramos' group at the School of Computer Science in the University of Sydney.

News


- June'19 - I am co-organizing a workshop on safety aspects of robotics at R:SS 2019 .

- April'19 - Bayesian Hilbert maps code with demos/tutorials has been updated.



Publications


Authors Title Conference/Journal Illustration
W. Zhi, R. Senanayake, L. Ott, and F. Ramos Spatiotemporal Learning of Directional Uncertainty in Urban Environments with Kernel Recurrent Mixture Density Networks


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

IEEE Robotics and Automation Letters (RA-L), 2019 and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macao, 2019 Placeholder image
V. Guizilini, R. Senanayake, and F. Ramos Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

IEEE The International Conference on Robotics and Automation (ICRA), Montreal, 2019 Placeholder image
W. Zhi, L. Ott, R. Senanayake, F. Ramos Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

IEEE The International Conference on Robotics and Automation (ICRA), Montreal, 2019 Placeholder image
A. Tompkins*, R. Senanayake*, P. Morere*, F. Ramos Black-box Quantiles for Kernel Learning


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), Okinawa, 2019 Placeholder image
T. Vintr et al. Time-Varying Pedestrian Flow Models for Service Robots


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

The 9th European COnference on Mobile Robotics (ECMR), Prague, 2019 Placeholder image
R. Senanayake*, A. Tompkins*, and F. Ramos Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Annual Conference on Robot Learning (CoRL), Zurich, 2018 Placeholder image
R. Senanayake and F. Ramos Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, 2018 Placeholder image
R. Senanayake and F. Ramos Continuous Occupancy Mapping with Moving Robots


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, 2018 Placeholder image
R. Senanayake and F. Ramos Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Annual Conference on Robot Learning (CoRL), Mountain View, 2017 Placeholder image
R. Senanayake, S. O'Callaghan, and F. Ramos Learning Highly Dynamic Environments with Stochastic Variational Inference


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

The International Conference on Robotics and Automation (ICRA), Singapore, 2017 Placeholder image
R. Senanayake, L. Ott, S. O'Callaghan, and F. Ramos Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environment


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

30th Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, 2016 Placeholder image
R. Senanayake, S. O'Callaghan, and F. Ramos Predicting Spatio‚ÄźTemporal Propagation of Seasonal Influenza using Variational Gaussian Process Regression


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, 2016 Placeholder image
R. Senanayake and R. Goonetilleke Pointing device performance in steering tasks


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Perceptual and Motor Skills, 2016 Placeholder image
A. Ravendran, R. de Silva, and R. Senanayake Moment Invariant Features for Automatic Identification of Critical Malaria Parasites


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

10th IEEE International Conference on Industrial and Information Systems, Peradeniya, 2015 Placeholder image
R. Senanayake and R. Goonetilleke Targeted-Tracking With Pointing Devices


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

IEEE Transactions on Human-Machine Systems, 2015 Placeholder image
R. Senanayake, E. Hoffmann, and R. Goonetilleke A Model for Combined Targeting Tracking Tasks in Computer Applications


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Experimental Brain Research, 2013 Placeholder image
R. Senanayake and R. Goonetilleke Superiority of Freehand Pointing


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

57th Annual Meeting of the Human Factors and Ergonomic Society (HFES), San Diego, 2013 Placeholder image
R. Senanayake and R. Goonetilleke Setting that Mouse for Tracking Tasks


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

15th International Conference on Human-Computer Interaction (HCII), Las Vegas, 2013 Placeholder image
A. de Silva, M, Wijesundara, and R. Senanayake Computer Controlled Digital Microscope with Photomicrograph Enhancement


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Proceedings of the IEEE International Conference on Information and Communication Technology, Bandung, 2013 Placeholder image
R. Senanayake and S. Kumarawadu A Robust Vision-based Hand Gesture Recognition System for Appliance Control in Smart Homes


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

IEEE International Conference on Signal Processing, Communications and Computing, Hong Kong, 2012 Placeholder image
Authors Title Conference/Journal Illustration
M. Itkina, B. Ivanovic, R. Senanayake, M. Kochenderfer, and M. Pavone Evidential Disambiguation of Latent Multimodality in Conditional Variational Autoencoders


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Workshop on Bayesian Deep Learning at the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS-BDL), Vancouver, 2019 Placeholder image
A. Tompkins, R. Senanayake, and F. Ramos Parameter Optimal Transport for Robotic Mapping


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Workshop on Optimal Transport for Machine Learning at the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS-OTML), Vancouver, 2019 Placeholder image
R. Senanayake, M. Toyungyernsub, M. Wang, M. Kochenderfer, and M. Schwager Directional Primitives for Uncertainty-Aware Motion Prediction in Urban Environments


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Workshop on Scene and Situation Understanding for Autonomous Driving at the Robotics: Science and Systems (R:SS-UAD), Germany, 2019 Placeholder image
Tomas Vintr, et al. Spatio-temporal Representation of Time-varying Pedestrian Flows


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Workshop on Long-term Human Motion Prediction at the International Conference on Robotics and Automation (ICRA-LHMP), Montreal, 2019 Placeholder image
W. Zhi, R. Senanayake, L. Ott, and F. Ramos Spatiotemporal Learning of Directional Uncertainty in Urban Environments


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Workshop on Long-term Human Motion Prediction at the International Conference on Robotics and Automation (ICRA-LHMP), Montreal, 2019 Placeholder image
A. Tompkins, R. Senanayake, and F. Ramos Gray-box probabilistic occupancy mapping


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Workshop on Machine Learning for Intelligent Transportation Systems at the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS-MLITS), Montreal, 2019 Placeholder image
R. Senanayake and F. Ramos Probabilistic Dynamic Maps for Path Planning


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Robotics: Science and Systems (R:SS) Pioneers, Pittsburgh, 2018 Placeholder image
R. Senanayake, T. Ganegedara, and F. Ramos Deep Occupancy Maps: a continuous occupancy mapping technique for dynamic environments


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Workshop on Machine Learning for Intelligent Transportation Systems at the 31st Annual Conference on Neural Information Processing Systems (NIPS-MLITS), Long Beach, 2017 Placeholder image
R. Senanayake and F. Ramos Bayesian Hilbert Maps for Continuous Occupancy Mapping in Dynamic Environments


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Workshop on Machine Learning for Autonomous Vehicles at the 34th International Conference on Machine Learning (ICML-MLAV), Sydney, 2017 Placeholder image
R. Senanayake, S. O'Callaghan, and F. Ramos Mapping Occupancy of Dynamic Environments using Big Data Gaussian Process Classification


@Article{Carlberg2019,
author = {},
title = {},
journal = {},
year = {2019},
volume = {},
pages = {105--124},
}

Workshop on Machine Learning for Intelligent Transportation Systems at the 30th Annual Conference on Neural Information Processing Systems (NIPS-MLITS), Barcelona, 2016 Placeholder image