Publications

2022

F. Afzal Maken, F. Ramos, L. Ott Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation. IEEE Robotics and Automation Letters, 2022

L. Bernreiter, S. Khattak, L. Ott, R. Siegwart, M. Hutter, C. Cadena Consistent Collaborative Robot Mapping using Spectral Graph Analysis. IEEE International Conference on Robotics & Automation, 2022

M. Kulkarni, M. Dharmadhikari, M. Tranzatto, S. Zimmermann, V. Reijgwart, P. De Petris, H. Nguyen, N. Khedekar, C. Papachristos, L. Ott, R Siegwart, M. Hutter, A. Kostas Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots. IEEE International Conference on Robotics & Automation, 2022


2021

L. Bernreiter, L. Ott, J. Nieto, R. Siegwart, C. Cadena Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems. IEEE International Conference on Robotics & Automation, 2021

L. Bernreiter, L. Ott, J. Nieto, R. Siegwart, C. Cadena PHASER: A Robust and Correspondence-Free Global Pointcloud Registration. IEEE Robotics and Automation Letters, 2021

R. Oliveira, L. Ott, F. Ramos No-regret approximate inference via Bayesian optimisation. Uncertainty in Artificial Intelligence, 2021

M. Pantic, L. Ott, C. Cadena, R. Siegwart, J. Nieto Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles. IEEE Robotics and Automation Letters, 2021

L. Schmid, V. Reijgwart, L. Ott, J. Nieto, R. Siegwart, C. Cadena A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift. IEEE Robotics and Automation Letters, 2021

W. Zhang, L. Ott, M. Tognon, R. Siegwart, J. Nieto Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots. IEEE International Conference on Robotics & Automation, 2021

W. Zhi, T. Lai, L. Ott, F. Ramos Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. IEEE International Conference on Robotics & Automation, 2021


2020

F. Afzal Maken, F. Ramos, L. Ott Estimating Motion Uncertainty with Bayesian ICP. IEEE International Conference on Robotics & Automation, 2020

L. Barcelos, R. Oliveira, R. Possas, L. Ott, F. Ramos DISCO: Double Likelihood-free Inference Stochastic Control. IEEE International Conference on Robotics & Automation, 2020

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

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

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


2019

F. Afzal Maken, F. Ramos, L. Ott Speeding up Iterative Closest Point Using Stochastic Gradient Descent. IEEE International Conference on Robotics & Automation, 2019

G. Francis, L. Ott, F. Ramos Fast Stochastic Functional Path Planning in Occupancy Maps. IEEE International Conference on Robotics & Automation, 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

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

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

W. Zhi, L. Ott, R. Senanayake, F. Ramos Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. IEEE International Conference on Robotics & Automation, 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. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

R. Oliveira, F. Rocha, L. Ott, V. Guizilini, F. Ramos, V. Grassi Learning to Race through Coordinate Descent Bayesian Optimisation. IEEE International Conference on Robotics & Automation, 2018


2017

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

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

G. Francis, L. Ott, F. Ramos Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps. IEEE International Conference on Robotics & Automation, 2017

C. De Alvis, L. Ott, F. Ramos Online Learning for Scene Segmentation With Laser-Constrained CRFs. IEEE International Conference on Robotics & Automation, 2017

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


2016

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

C. De Alvis, L. Ott, F. Ramos Urban scene segmentation with laser-constrained CRFs. IEEE/RSJ International Conference on Intelligent Robots and Systems, 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}. IEEE International Conference on Robotics & Automation, 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. Neural Information Processing Systems, 2016


2015

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


2014

L. Ott, L. Pang, F. Ramos, S. Chawla {On Integrated Clustering and Outlier Detection}. 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}. IEEE International Conference on Robotics & Automation, 2014


2013

L. Ott, F. Ramos {Multi-Sensor Clustering using Layered Affinity Propagation}. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013


2012

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

L. Ott, F. Ramos {Unsupervised Incremental Learning for Long-Term Autonomy}. IEEE International Conference on Robotics & Automation, 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