Nicholas R. J. Lawrance

According to our database, Nicholas R. J. Lawrance authored at least 32 papers between 2009 and 2024.

Collaborative distances:

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

2024

Safe Low-Altitude Navigation in Steep Terrain With Fixed-Wing Aerial Vehicles.

Jaeyoung Lim, Florian Achermann, Rik Girod, Nicholas R. J. Lawrance, Roland Siegwart

IEEE Robotics Autom. Lett., May, 2024

WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV.

Florian Achermann, Thomas Stastny, Bogdan Danciu, Andrey Kolobov, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance

CoRR, 2024

ForestTrav: 3D LiDAR-Only Forest Traversability Estimation for Autonomous Ground Vehicles.

Fabio Ruetz, Nicholas R. J. Lawrance, Emili Hernández, Paulo V. K. Borges, Thierry Peynot

IEEE Access, 2024

2023

Automatic extension of a symbolic mobile manipulation skill set.

Julian Förster, Lionel Ott, Juan I. Nieto, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung

Robotics Auton. Syst., 2023

ForestTrav: Accurate, Efficient and Deployable Forest Traversability Estimation for Autonomous Ground Vehicles.

Fabio Ruetz, Nicholas R. J. Lawrance, Emili Hernández, Paulo V. K. Borges, Thierry Peynot

CoRR, 2023

Credible Online Dynamics Learning for Hybrid UAVs.

David Rohr, Nicholas R. J. Lawrance, Olov Andersson, Roland Siegwart

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Fisher Information Based Active Planning for Aerial Photogrammetry.

Jaeyoung Lim, Nicholas R. J. Lawrance, Florian Achermann, Thomas Stastny, Rik Bähnemann, Roland Siegwart

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground-Penetrating Synthetic Aperture Radar.

Rik Bähnemann, Nicholas R. J. Lawrance, Lucas Streichenberg, Jen Jen Chung, Michael Pantic, Alexander Grathwohl, Christian Waldschmidt, Roland Siegwart

Field Robotics, March, 2022

Power-Based Safety Layer for Aerial Vehicles in Physical Interaction Using Lyapunov Exponents.

Eugenio Cuniato, Nicholas R. J. Lawrance, Marco Tognon, Roland Siegwart

IEEE Robotics Autom. Lett., 2022

It's Just Semantics: How to Get Robots to Understand the World the Way We Do.

Jen Jen Chung, Julian Förster, Paula Wulkop, Lionel Ott, Nicholas R. J. Lawrance, Roland Siegwart

Proceedings of the Robotics Research, 2022

FlowBot: Flow-based Modeling for Robot Navigation.

Daniel Dugas, Kuanqi Cai, Olov Andersson, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung

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

Towards 6DoF Bilateral Teleoperation of an Omnidirectional Aerial Vehicle for Aerial Physical Interaction.

Mike Allenspach, Nicholas R. J. Lawrance, Marco Tognon, Roland Siegwart

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

2021

Nonlinear Model Predictive Velocity Control of a VTOL Tiltwing UAV.

David Rohr, Matthias Studiger, Thomas Stastny, Nicholas R. J. Lawrance, Roland Siegwart

IEEE Robotics Autom. Lett., 2021

Under the Sand: Navigation and Localization of a Small Unmanned Aerial Vehicle for Landmine Detection with Ground Penetrating Synthetic Aperture Radar.

Rik Bähnemann, Nicholas R. J. Lawrance, Lucas Streichenberg, Jen Jen Chung, Michael Pantic, Alexander Grathwohl, Christian Waldschmidt, Roland Siegwart

CoRR, 2021

Dipper: A Dynamically Transitioning Aerial-Aquatic Unmanned Vehicle.

Friedrich M. Rockenbauer, Simon Jeger, Liberto Beltran, Maximilian Berger, Marvin Harms, Noah Kaufmann, Marc Rauch, Moritz Reinders, Nicholas R. J. Lawrance, Thomas Stastny, Roland Siegwart

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Online Informative Path Planning for Active Information Gathering of a 3D Surface.

Hai Zhu, Jen Jen Chung, Nicholas R. J. Lawrance, Roland Siegwart, Javier Alonso-Mora

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

Learn to Path: Using neural networks to predict Dubins path characteristics for aerial vehicles in wind.

Trevor Phillips, Maximilian Stölzle, Erick Turricelli, Florian Achermann, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung

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

2020

MultiPoint: Cross-spectral registration of thermal and optical aerial imagery.

Florian Achermann, Andrey Kolobov, Debadeepta Dey, Timo Hinzmann, Jen Jen Chung, Roland Siegwart, Nicholas R. J. Lawrance

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Shared autonomy for low-cost underwater vehicles.

Nicholas R. J. Lawrance, Robert DeBortoli, Dylan Jones, Seth McCammon, Lauren Milliken, Austin Nicolai, Thane Somers, Geoffrey A. Hollinger

J. Field Robotics, 2019

Deep learning of structured environments for robot search.

Jeffrey A. Caley, Nicholas R. J. Lawrance, Geoffrey A. Hollinger

Auton. Robots, 2019

Learning to Predict the Wind for Safe Aerial Vehicle Planning.

Florian Achermann, Nicholas R. J. Lawrance, René Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart

Proceedings of the International Conference on Robotics and Automation, 2019

Revisiting Boustrophedon Coverage Path Planning as a Generalized Traveling Salesman Problem.

Rik Bähnemann, Nicholas R. J. Lawrance, Jen Jen Chung, Michael Pantic, Roland Siegwart, Juan I. Nieto

Proceedings of the Field and Service Robotics, 2019

2017

Fast Marching Adaptive Sampling.

Nicholas R. J. Lawrance, Jen Jen Chung, Geoffrey A. Hollinger

IEEE Robotics Autom. Lett., 2017

2016

Real-time path planning for long-term information gathering with an aerial glider.

Joseph L. Nguyen, Nicholas R. J. Lawrance, Robert Fitch, Salah Sukkarieh

Auton. Robots, 2016

Informative soaring with drifting thermals.

Joseph L. Nguyen, Nicholas R. J. Lawrance, Robert Fitch, Salah Sukkarieh

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Learning to soar: Resource-constrained exploration in reinforcement learning.

Jen Jen Chung, Nicholas R. J. Lawrance, Salah Sukkarieh

Int. J. Robotics Res., 2015

2014

Persistent monitoring with a team of autonomous gliders using static soaring.

José Joaquín Acevedo, Nicholas R. J. Lawrance, Begoña C. Arrue, Salah Sukkarieh, Aníbal Ollero

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Nonmyopic planning for long-term information gathering with an aerial glider.

Joseph L. Nguyen, Nicholas R. J. Lawrance, Salah Sukkarieh

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Energy-constrained motion planning for information gathering with autonomous aerial soaring.

Joseph L. Nguyen, Nicholas R. J. Lawrance, Robert Fitch, Salah Sukkarieh

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Gaussian processes for informative exploration in reinforcement learning.

Jen Jen Chung, Nicholas R. J. Lawrance, Salah Sukkarieh

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2011

Path planning for autonomous soaring flight in dynamic wind fields.

Nicholas R. J. Lawrance, Salah Sukkarieh

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2009

A guidance and control strategy for dynamic soaring with a gliding UAV.

Nicholas R. J. Lawrance, Salah Sukkarieh

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009