Publications

2020

M Breyer, J. J. Chung, L. Ott, R. Siegwart, J. Nieto Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. Proc. of the Conference on Robot Learning, 2020

T. Blau, L. Ott, F. Ramos Bayesian Curiosity for Efficient Exploration in Reinforcement Learning. Proc. of the Australasian Conference on Robotics and Automation, 2020

W. Zhang, M. Brunner, L. Ott, M. Kamel, R. Siegwart, J. Nieto Learning dynamics for improving control of overactuated flying systems. IEEE Robotics and Automation Letters, 2020

F. Afzal Maken, F. Ramos, L. Ott Estimating Motion Uncertainty with Bayesian ICP. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020

L. Barcelos, R. Oliveira, R. Possas, L. Ott, F. Ramos DISCO: Double Likelihood-free Inference Stochastic Control. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020

L. Schmid, M. Pantic, R. Khanna, L. Ott, R. Siegwart, J. Nieto An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments. IEEE Robotics and Automation Letters, 2020


2019

F. Afzal Maken, F. Ramos, L. Ott Speeding up Iterative Closest Point Using Stochastic Gradient Descent. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2019

R. Oliveira, L. Ott, F. Ramos Bayesian Optimisation under Uncertain Inputs. Proc. of the International Conference on Artificial Intelligence and Statistics, 2019

G. Francis, L. Ott, F. Ramos Fast Stochastic Functional Path Planning in Occupancy Maps. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2019

G. Francis, L. Ott, R. Marchant, F. Ramos Occupancy Map Building through Bayesian Exploration. International Journal of Robotics Research, 2019

P. Morere, L. Ott, F. Ramos Learning to Plan Hierarchically from Curriculum. IEEE Robotics and Automation Letters, 2019

W. Zhi, L. Ott, R. Senanayake, F. Ramos Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. Proc. of the Conference on Robot Learning, 2019

W. Zhi, L. Ott, R. Senanayake, F. Ramos Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2019

W. Zhi, R. Senanayake, L. Ott, F. Ramos Spatiotemporal Learning of Directional Uncertainty in Urban Environments with Kernel Recurrent Mixture Density Networks. IEEE Robotics and Automation Letters, 2019


2018

T. Blau, L. Ott, F. Ramos Improving Reinforcement Learning Pre-Training with Variational Dropout. Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2018

R. Oliveira, F. Rocha, L. Ott, V. Guizilini, F. Ramos, V. Grassi Learning to Race through Coordinate Descent Bayesian Optimisation. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2018


2017

G. Francis, L. Ott, F. Ramos Functional Path Optimisation for Exploration in Continuous Occupancy Maps. Int. Symp. on Robotics Research, 2017

R. Oliveira, L. Ott, V. Guizilini, F. Ramos Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. Int. Symp. on Robotics Research, 2017

G. Francis, L. Ott, F. Ramos Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2017

C. De Alvis, L. Ott, F. Ramos Online Learning for Scene Segmentation With Laser-Constrained CRFs. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2017

T. Ganegedara, L. Ott, F. Ramos Learning to Navigate by Growing Deep Networks. Proc. of the Australasian Conference on Robotics and Automation, 2017


2016

R. Oliveira, L. Ott, F. Ramos Active Perception for Modelling Energy Consumption in Off-Road Navigation. Proc. of the Australasian Conference on Robotics and Automation, 2016

C. De Alvis, L. Ott, F. Ramos Urban scene segmentation with laser-constrained CRFs. Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2016

A. Bewley, Z. Ge, L. Ott, F. Ramos, B. Upcroft Simple online and realtime tracking. Proc. of the IEEE Int. Conf. on Image Processing (ICIP), 2016

T. Ganegedara, L. Ott, F. Ramos Online Adaptation of Deep Architectures with Reinforcement Learning. European Conference on Artificial Intelligence (ECAI), 2016

A. Bewley, L. Ott, F. Ramos, B. Upcroft {Alextrac: Affinity learning by exploring temporal reinforcement within association chains}. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2016

F. Ramos, L. Ott Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent. International Journal of Robotics Research, 2016

R. Senanayake, L. Ott, S. O'Callaghan, F. Ramos Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments. Proc. of Advances in Neural Information Processing Systems, 2016


2015

F. Ramos, L. Ott {Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent}. Proc. of Robotics: Science and Systems (RSS), 2015


2014

L. Ott, L. Pang, F. Ramos, S. Chawla {On Integrated Clustering and Outlier Detection}. Proc. of Advances in Neural Information Processing Systems, 2014

L. Ott, F. Ramos {Unsupervised Online Learning for Long-Term Autonomy}. International Journal of Robotics Research, 2014

J. Souza, R. Marchant, L. Ott, D. Wolf, F. Ramos {Bayesian Pptimisation for Active Perception and Smooth Navigation}. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2014


2013

L. Ott, F. Ramos {Multi-Sensor Clustering using Layered Affinity Propagation}. Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2013


2012

L. Ott, F. Ramos {Real-Time Clustering for Long-Term Autonomy}. Int. Symp. on Experimental Robotics, 2012

L. Ott, F. Ramos {Unsupervised Incremental Learning for Long-Term Autonomy}. Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2012


2009

H. Schulz, L. Ott, J. Sturm, W. Burgard {Learning Kinematics from Direct Self-Observation using Nearest-Neighbor Methods}. German Workshop on Robotics, 2009