Julian Nubert

According to our database, Julian Nubert authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

X-ICP: Localizability-Aware LiDAR Registration for Robust Localization in Extreme Environments.

Turcan Tuna, Julian Nubert, Yoshua Nava, Shehryar Khattak, Marco Hutter

IEEE Trans. Robotics, 2024

Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools.

Filippo A. Spinelli, Pascal Egli, Julian Nubert, Fang Nan, Thilo Bleumer, Patrick Goegler, Stephan Brockes, Ferdinand Hofmann, Marco Hutter

CoRR, 2024

ETHcavation: A Dataset and Pipeline for Panoptic Scene Understanding and Object Tracking in Dynamic Construction Environments.

Lorenzo Terenzi, Julian Nubert, Pol Eyschen, Pascal Roth, Simin Fei, Edo Jelavic, Marco Hutter

CoRR, 2024

Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild.

Turcan Tuna, Julian Nubert, Patrick Pfreundschuh, Cesar Cadena, Shehryar Khattak, Marco Hutter

CoRR, 2024

MultiViPerFrOG: A Globally Optimized Multi-Viewpoint Perception Framework for Camera Motion and Tissue Deformation.

Guido Caccianiga, Julian Nubert, Cesar Cadena, Marco Hutter, Katherine J. Kuchenbecker

CoRR, 2024

RoadRunner - Learning Traversability Estimation for Autonomous Off-road Driving.

Jonas Frey, Shehryar Khattak, Manthan Patel, Deegan Atha, Julian Nubert, Curtis Padgett, Marco Hutter, Patrick Spieler

CoRR, 2024

Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue.

Guido Caccianiga, Julian Nubert, Marco Hutter, Katherine J. Kuchenbecker

CoRR, 2024

ViPlanner: Visual Semantic Imperative Learning for Local Navigation.

Pascal Roth, Julian Nubert, Fan Yang, Mayank Mittal, Marco Hutter

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022

Learning-based Localizability Estimation for Robust LiDAR Localization.

Julian Nubert, Etienne Walther, Shehryar Khattak, Marco Hutter

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Graph-based Multi-sensor Fusion for Consistent Localization of Autonomous Construction Robots.

Julian Nubert, Shehryar Khattak, Marco Hutter

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Self-supervised Learning of LiDAR Odometry for Robotic Applications.

Julian Nubert, Shehryar Khattak, Marco Hutter

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control.

Julian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe

IEEE Robotics Autom. Lett., 2020

2019

Safe and Fast Tracking Control on a Robot Manipulator: Robust MPC and Neural Network Control.

Julian Nubert, Johannes Köhler, Vincent Berenz, Frank Allgöwer, Sebastian Trimpe

CoRR, 2019

Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning.

Leo Stanislas, Julian Nubert, Daniel Dugas, Julia Nitsch, Niko Sünderhauf, Roland Siegwart, César Cadena, Thierry Peynot

Proceedings of the Field and Service Robotics, 2019

2018

Traffic Density Estimation using a Convolutional Neural Network.

Julian Nubert, Nicholas Giai Truong, Abel Lim, Herbert Ilhan Tanujaya, Leah Lim, Mai Anh Vu

CoRR, 2018

Developing a Purely Visual Based Obstacle Detection using Inverse Perspective Mapping.

Julian Nubert, Niklas Funk, Fabio Vito Meier, Fabrice Oehler

CoRR, 2018

2017

Autonomous Electric Race Car Design.

Niklas Funk, Nikhilesh Alatur, Robin Deuber, Frederick Gonon, Nico Messikommer, Julian Nubert, Moritz Patriarca, Simon Schaefer, Dominic Scotoni, Nicholas Bünger, Renaud Dubé, Raghav Khanna, Mark Pfeiffer, Erik Wilhelm, Roland Siegwart

CoRR, 2017