Olov Andersson

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Predictive Control

Point Processes

Collision Avoidance

Visual Navigation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Qingwen Zhang, Yi Yang, Peizheng Li, Olov Andersson, Patric Jensfelt
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving. CoRR (2024)
Patrick Pfreundschuh, Helen Oleynikova, César Cadena, Roland Siegwart, Olov Andersson
COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry. ICRA (2024)
Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Cadena, Roland Siegwart, Lionel Ott
Obstacle avoidance using Raycasting and Riemannian Motion Policies at kHz rates for MAVs. ICRA (2023)
Patrick Pfreundschuh, Rik Bähnemann, Tim Kazik, Thomas Mantel, Roland Siegwart, Olov Andersson
Resilient Terrain Navigation with a 5 DOF Metal Detector Drone. ICRA (2023)
Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott
Material-Agnostic Shaping of Granular Materials with Optimal Transport. IROS (2023)
Lukas Schmid, Olov Andersson, Aurelio Sulser, Patrick Pfreundschuh, Roland Siegwart
Dynablox: Real-Time Detection of Diverse Dynamic Objects in Complex Environments. IEEE Robotics Autom. Lett. 8 (10) (2023)
Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott
Material-agnostic Shaping of Granular Materials with Optimal Transport. CoRR (2023)
Patrick Pfreundschuh, Helen Oleynikova, César Cadena, Roland Siegwart, Olov Andersson
COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry. CoRR (2023)
Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Dario Cadena Lerma, Roland Siegwart, Lionel Ott
Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs. CoRR (2023)
Lukas Maximilian Schmid, Olov Andersson, Aurelio Sulser, Patrick Pfreundschuh, Roland Siegwart
Dynablox: Real-time Detection of Diverse Dynamic Objects in Complex Environments. CoRR (2023)
David Rohr, Nicholas R. J. Lawrance, Olov Andersson, Roland Siegwart
Credible Online Dynamics Learning for Hybrid UAVs. ICRA (2023)
Eugenio Cuniato, Olov Andersson, Helen Oleynikova, Roland Siegwart, Michael Pantic
Learning to Fly Omnidirectional Micro Aerial Vehicles with an End-To-End Control Network. CoRR (2023)
Eugenio Cuniato, Ismail Geles, Weixuan Zhang, Olov Andersson, Marco Tognon, Roland Siegwart
Learning to Open Doors with an Aerial Manipulator. IROS (2023)
Eugenio Cuniato, Ismail Geles, Weixuan Zhang, Olov Andersson, Marco Tognon, Roland Siegwart
Learning to Open Doors with an Aerial Manipulator. CoRR (2023)
Daniel Dugas, Kuanqi Cai, Olov Andersson, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung
FlowBot: Flow-based Modeling for Robot Navigation. IROS (2022)
Lukas Maximilian Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson
Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning. CoRR (2022)
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
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned. CoRR (2022)
Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
NavDreams: Towards Camera-Only RL Navigation Among Humans. IROS (2022)
Patrick Pfreundschuh, Rik Bähnemann, Tim Kazik, Thomas Mantel, Roland Siegwart, Olov Andersson
Resilient Terrain Navigation with a 5 DOF Metal Detector Drone. CoRR (2022)
Liping Shi, Michael Pantic, Olov Andersson, Marco Tognon, Roland Siegwart, Rune Hylsberg Jacobsen
Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots. IROS (2022)
Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
NavDreams: Towards Camera-Only RL Navigation Among Humans. CoRR (2022)
Lukas Maximilian Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson
Fast and Compute-Efficient Sampling-Based Local Exploration Planning via Distribution Learning. IEEE Robotics Autom. Lett. 7 (3) (2022)
Marco Tranzatto, Takahiro Miki, Mihir Dharmadhikari, Lukas Bernreiter, Mihir Kulkarni, Frank Mascarich, Olov Andersson, Shehryar Khattak, Marco Hutter, Roland Siegwart, Kostas Alexis
CERBERUS in the DARPA Subterranean Challenge. Sci. Robotics 7 (66) (2022)
Olov Andersson, Patrick Doherty, Mårten Lager, Jens-Olof Lindh, Linnea Persson, Elin A. Topp, Jesper Tordenlid, Bo Wahlberg
WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation. Auton. Intell. Syst. 1 (1) (2021)
Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani
Real-Time Robotic Search using Hierarchical Spatial Point Processes. CoRR (2019)
Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani
Real-Time Robotic Search using Structural Spatial Point Processes. UAI (2019)
Olov Andersson, Patrick Doherty
Deep RL for autonomous robots: limitations and safety challenges. ESANN (2019)
Olov Andersson, Oskar Ljungqvist, Mattias Tiger, Daniel Axehill, Fredrik Heintz
Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance. CDC (2018)
Olov Andersson, Mariusz Wzorek, Patrick Doherty
Deep Learning Quadcopter Control via Risk-Aware Active Learning. AAAI (2017)
Olov Andersson, Mariusz Wzorek, Piotr Rudol, Patrick Doherty
Model-predictive control with stochastic collision avoidance using Bayesian policy optimization. ICRA (2016)
Olov Andersson, Fredrik Heintz, Patrick Doherty
Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization. AAAI (2015)