Olov Andersson

According to our database, Olov Andersson authored at least 23 papers between 2015 and 2023.

Collaborative distances:

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

2023

Dynablox: Real-Time Detection of Diverse Dynamic Objects in Complex Environments.

Lukas Schmid, Olov Andersson, Aurelio Sulser, Patrick Pfreundschuh, Roland Siegwart

IEEE Robotics Autom. Lett., October, 2023

Learning to Fly Omnidirectional Micro Aerial Vehicles with an End-To-End Control Network.

Eugenio Cuniato, Olov Andersson, Helen Oleynikova, Roland Siegwart, Michael Pantic

CoRR, 2023

COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry.

Patrick Pfreundschuh, Helen Oleynikova, César Cadena, Roland Siegwart, Olov Andersson

CoRR, 2023

Learning to Open Doors with an Aerial Manipulator.

Eugenio Cuniato, Ismail Geles, Weixuan Zhang, Olov Andersson, Marco Tognon, Roland Siegwart

IROS, 2023

Material-Agnostic Shaping of Granular Materials with Optimal Transport.

Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott

IROS, 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

Resilient Terrain Navigation with a 5 DOF Metal Detector Drone.

Patrick Pfreundschuh, Rik Bähnemann, Tim Kazik, Thomas Mantel, Roland Siegwart, Olov Andersson

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

Obstacle avoidance using Raycasting and Riemannian Motion Policies at kHz rates for MAVs.

Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Cadena, Roland Siegwart, Lionel Ott

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

2022

CERBERUS in the DARPA Subterranean Challenge.

Marco Tranzatto, Takahiro Miki, Mihir Dharmadhikari, Lukas Bernreiter, Mihir Kulkarni, Frank Mascarich, Olov Andersson, Shehryar Khattak, Marco Hutter, Roland Siegwart, Kostas Alexis

Sci. Robotics, 2022

Fast and Compute-Efficient Sampling-Based Local Exploration Planning via Distribution Learning.

Lukas Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson

IEEE Robotics Autom. Lett., 2022

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

Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann, Mihir Kulkarni, Victor Reijgwart, Benoit Casseau, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Russell Buchanan, Lorenz Wellhausen, Nikhil Khedekar, Olov Andersson, Lintong Zhang, Takahiro Miki, Tung Dang, Matías Mattamala, Markus Montenegro, Konrad Meyer, Xiangyu Wu, Adrien Briod, Mark W. Mueller, Maurice F. Fallon, Roland Siegwart, Marco Hutter, Kostas Alexis

CoRR, 2022

Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots.

Liping Shi, Michael Pantic, Olov Andersson, Marco Tognon, Roland Siegwart, Rune Hylsberg Jacobsen

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

NavDreams: Towards Camera-Only RL Navigation Among Humans.

Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung

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

2021

WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation.

Olov Andersson, Patrick Doherty, Mårten Lager, Jens-Olof Lindh, Linnea Persson, Elin A. Topp, Jesper Tordenlid, Bo Wahlberg

Auton. Intell. Syst., 2021

2020

Learning to Make Safe Real-Time Decisions Under Uncertainty for Autonomous Robots.

Olov Andersson

PhD thesis, 2020

2019

Real-Time Robotic Search using Hierarchical Spatial Point Processes.

Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani

CoRR, 2019

Real-Time Robotic Search using Structural Spatial Point Processes.

Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Deep RL for autonomous robots: limitations and safety challenges.

Olov Andersson, Patrick Doherty

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance.

Olov Andersson, Oskar Ljungqvist, Mattias Tiger, Daniel Axehill, Fredrik Heintz

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Deep Learning Quadcopter Control via Risk-Aware Active Learning.

Olov Andersson, Mariusz Wzorek, Patrick Doherty

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Model-predictive control with stochastic collision avoidance using Bayesian policy optimization.

Olov Andersson, Mariusz Wzorek, Piotr Rudol, Patrick Doherty

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

2015

Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization.

Olov Andersson, Fredrik Heintz, Patrick Doherty

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015