Lionel Ott

Orcid: 0000-0001-6554-0575

According to our database1, Lionel Ott authored at least 85 papers between 2012 and 2024.

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Bibliography

2024
NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models.
CoRR, 2024

Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies.
CoRR, 2024

Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation.
CoRR, 2024

Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Chasing millimeters: design, navigation and state estimation for precise in-flight marking on ceilings.
Auton. Robots, December, 2023

Robust Sampling-Based Control of Mobile Manipulators for Interaction With Articulated Objects.
IEEE Trans. Robotics, June, 2023

Automatic extension of a symbolic mobile manipulation skill set.
Robotics Auton. Syst., 2023

To Fuse or Not to Fuse: Measuring Consistency in Multi-Sensor Fusion for Aerial Robots.
CoRR, 2023

Soliro - a hybrid dynamic tilt-wing aerial manipulator with minimal actuators.
CoRR, 2023

Efficient volumetric mapping of multi-scale environments using wavelet-based compression.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps.
IROS, 2023

Neural Implicit Vision-Language Feature Fields.
IROS, 2023

Material-Agnostic Shaping of Granular Materials with Optimal Transport.
IROS, 2023

Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Obstacle avoidance using Raycasting and Riemannian Motion Policies at kHz rates for MAVs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

NeRFing it: Offline Object Segmentation Through Implicit Modeling.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SphNet: A Spherical Network for Semantic Pointcloud Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing.
IEEE Robotics Autom. Lett., 2022

Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation.
IEEE Robotics Autom. Lett., 2022

Stein ICP for Uncertainty Estimation in Point Cloud Matching.
IEEE Robotics Autom. Lett., 2022

Visual Loop Closure Detection for a Future Mars Science Helicopter.
IEEE Robotics Autom. Lett., 2022

Bayesian iterative closest point for mobile robot localization.
Int. J. Robotics Res., 2022

A Framework for Collaborative Multi-Robot Mapping using Spectral Graph Wavelets.
CoRR, 2022

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned.
CoRR, 2022

Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF).
CoRR, 2022

Aerial Layouting: Design and Control of a Compliant and Actuated End-Effector for Precise In-flight Marking on Ceilings.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Robotic Maintenance of Road Infrastructures: The HERON Project.
Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Diffeomorphic Transforms for Generalised Imitation Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2022

It's Just Semantics: How to Get Robots to Understand the World the Way We Do.
Proceedings of the Robotics Research, 2022

Closed-Loop Next-Best-View Planning for Target-Driven Grasping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Collaborative Robot Mapping using Spectral Graph Analysis.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

2021
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments Under Severe Odometry Drift.
IEEE Robotics Autom. Lett., 2021

Mesh Manifold Based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles.
IEEE Robotics Autom. Lett., 2021

PHASER: A Robust and Correspondence-Free Global Pointcloud Registration.
IEEE Robotics Autom. Lett., 2021

Learning ODEs via Diffeomorphisms for Fast and Robust Integration.
CoRR, 2021

No-regret approximate inference via Bayesian optimisation.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Probabilistic Trajectory Prediction with Structural Constraints.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Trajectory Generation in New Environments from Past Experiences.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Learning Dynamics for Improving Control of Overactuated Flying Systems.
IEEE Robotics Autom. Lett., 2020

An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments.
IEEE Robotics Autom. Lett., 2020

Autonomous Extension of a Symbolic Mobile Manipulation Skill Set.
CoRR, 2020

Go Fetch: Mobile Manipulation in Unstructured Environments.
CoRR, 2020

Estimating Motion Uncertainty with Bayesian ICP.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DISCO: Double Likelihood-free Inference Stochastic Control.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks.
IEEE Robotics Autom. Lett., 2019

Learning to Plan Hierarchically From Curriculum.
IEEE Robotics Autom. Lett., 2019

Occupancy map building through Bayesian exploration.
Int. J. Robotics Res., 2019

Bayesian Curiosity for Efficient Exploration in Reinforcement Learning.
CoRR, 2019

OCTNet: Trajectory Generation in New Environments from Past Experiences.
CoRR, 2019

Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps.
Proceedings of the International Conference on Robotics and Automation, 2019

Speeding Up Iterative Closest Point Using Stochastic Gradient Descent.
Proceedings of the International Conference on Robotics and Automation, 2019

Fast Stochastic Functional Path Planning in Occupancy Maps.
Proceedings of the International Conference on Robotics and Automation, 2019

Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Bayesian optimisation under uncertain inputs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Improving Reinforcement Learning Pre-Training with Variational Dropout.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning to Race Through Coordinate Descent Bayesian Optimisation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Learning to Navigate by Growing Deep Networks.
CoRR, 2017

Stochastic Functional Gradient Path Planning in Occupancy Maps.
CoRR, 2017

Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Functional Path Optimisation for Exploration in Continuous Occupancy Maps.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Stochastic functional gradient for motion planning in continuous occupancy maps.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Online learning for scene segmentation with laser-constrained CRFs.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent.
Int. J. Robotics Res., 2016

Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Urban scene segmentation with laser-constrained CRFs.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Alextrac: Affinity learning by exploring temporal reinforcement within association chains.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Simple online and realtime tracking.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Online Adaptation of Deep Architectures with Reinforcement Learning.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Unsupervised learning for long-term autonomy.
PhD thesis, 2015

2014
Integer Programming Relaxations for Integrated Clustering and Outlier Detection.
CoRR, 2014

On Integrated Clustering and Outlier Detection.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Bayesian optimisation for active perception and smooth navigation.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Unsupervised online learning for long-term autonomy.
Int. J. Robotics Res., 2013

Multi-sensor clustering using Layered Affinity Propagation.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012
Real-Time Clustering for Long-Term Autonomy.
Proceedings of the Experimental Robotics, 2012

Unsupervised incremental learning for long-term autonomy.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012


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