| Deep learning quadcopter control via risk-aware active learning O Andersson, M Wzorek, P Doherty Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 57 | 2017 |
| Receding-horizon lattice-based motion planning with dynamic obstacle avoidance O Andersson, O Ljungqvist, M Tiger, D Axehill, F Heintz 2018 IEEE Conference on Decision and Control (CDC), 4467-4474, 2018 | 45 | 2018 |
| CERBERUS in the DARPA Subterranean Challenge M Tranzatto, T Miki, M Dharmadhikari, L Bernreiter, M Kulkarni, ... Science Robotics 7 (66), eabp9742, 2022 | 38 | 2022 |
| Model-predictive control with stochastic collision avoidance using bayesian policy optimization O Andersson, M Wzorek, P Rudol, P Doherty 2016 IEEE International Conference on Robotics and Automation (ICRA), 4597-4604, 2016 | 29 | 2016 |
| Model-based reinforcement learning in continuous environments using real-time constrained optimization O Andersson, F Heintz, P Doherty Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 22 | 2015 |
| Team cerberus wins the darpa subterranean challenge: Technical overview and lessons learned M Tranzatto, M Dharmadhikari, L Bernreiter, M Camurri, S Khattak, ... arXiv preprint arXiv:2207.04914, 2022 | 9 | 2022 |
| WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation O Andersson, P Doherty, M Lager, JO Lindh, L Persson, EA Topp, ... Autonomous Intelligent Systems 1, 1-31, 2021 | 7 | 2021 |
| Fast and compute-efficient sampling-based local exploration planning via distribution learning L Schmid, C Ni, Y Zhong, R Siegwart, O Andersson IEEE Robotics and Automation Letters 7 (3), 7810-7817, 2022 | 5 | 2022 |
| Deep RL for autonomous robots: limitations and safety challenges O Andersson, P Doherty Proceedings of the European Symposium on Neural Networks (ESANN), 2019 | 3 | 2019 |
| NavDreams: Towards Camera-Only RL Navigation Among Humans D Dugas, O Andersson, R Siegwart, JJ Chung 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 2 | 2022 |
| Toward Robust Deep RL via Better Benchmarks: Identifying Neglected Problem Dimensions O Andersson, P Doherty ICML'18 Workshop on Reproducible Machine Learning, 2018 | 2 | 2018 |
| Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots L Shi, M Pantic, O Andersson, M Tognon, R Siegwart, RH Jacobsen 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 1 | 2022 |
| Real-time robotic search using structural spatial point processes O Andersson, P Sidén, J Dahlin, P Doherty, M Villani Uncertainty in Artificial Intelligence, 995-1005, 2020 | 1 | 2020 |
| Learning to Make Safe Real-Time Decisions Under Uncertainty for Autonomous Robots O Andersson Linköping University, 2020 | 1 | 2020 |
| Real-Time Robotic Search using Hierarchical Spatial Point Processes O Andersson, P Sidén, J Dahlin, P Doherty, M Villani Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial …, 2019 | 1 | 2019 |
| Dynablox: Real-time Detection of Diverse Dynamic Objects in Complex Environments L Schmid, O Andersson, A Sulser, P Pfreundschuh, R Siegwart arXiv preprint arXiv:2304.10049, 2023 | | 2023 |
| Material-agnostic Shaping of Granular Materials with Optimal Transport N Alatur, O Andersson, R Siegwart, L Ott arXiv preprint arXiv:2303.17047, 2023 | | 2023 |
| Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs M Pantic, I Meijer, R Bähnemann, N Alatur, O Andersson, CC Lerma, ... arXiv preprint arXiv:2301.08068, 2023 | | 2023 |
| Resilient Terrain Navigation with a 5 DOF Metal Detector Drone P Pfreundschuh, R Bahnemann, T Kazik, T Mantel, R Siegwart, ... arXiv preprint arXiv:2212.07132, 2022 | | 2022 |
| FlowBot: Flow-based Modeling for Robot Navigation D Dugas, K Cai, O Andersson, N Lawrance, R Siegwart, JJ Chung 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | | 2022 |
Patrick DohertyProfessor of Computer Science, Linköping University, SwedenVerified email at liu.se
