Olov Andersson
Olov Andersson
Postdoctoral researcher (KAW Scholarship) at ETH Zürich
Verified email at - Homepage
Cited by
Cited by
Deep learning quadcopter control via risk-aware active learning
O Andersson, M Wzorek, P Doherty
Thirty-First AAAI Conference on Artificial Intelligence, 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
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
Model-based reinforcement learning in continuous environments using real-time constrained optimization
O Andersson, F Heintz, P Doherty
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Deep RL for autonomous robots: limitations and safety challenges
O Andersson, P Doherty
Proceedings of the European Symposium on Neural Networks (ESANN), 2019
Toward Robust Deep RL via Better Benchmarks: Identifying Neglected Problem Dimensions
O Andersson, P Doherty
ICML'18 Workshop on Reproducible Machine Learning, 2018
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
Learning to Make Safe Real-Time Decisions Under Uncertainty for Autonomous Robots
O Andersson
Linköping University, 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
CERBERUS in the DARPA Subterranean Challenge
M Tranzatto, T Miki, M Dharmadhikari, L Bernreiter, M Kulkarni, ...
Science Robotics 7 (66), eabp9742, 2022
NavDreams: Towards Camera-Only RL Navigation Among Humans
D Dugas, O Andersson, R Siegwart, JJ Chung
arXiv preprint arXiv:2203.12299, 2022
Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning
L Schmid, C Ni, Y Zhong, R Siegwart, O Andersson
arXiv preprint arXiv:2202.13715, 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), 1-31, 2021
Towards Robust DeepRL: Stochastic Benchmark Environments
O Andersson
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