Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization. - Olov Andersson; Fredrik Heintz; Patrick Doherty 001 (AAAI, 2015)

Model-predictive control with stochastic collision avoidance using Bayesian policy optimization. - Olov Andersson; Mariusz Wzorek; Piotr Rudol; Patrick Doherty 001 (ICRA, 2016)

Deep Learning Quadcopter Control via Risk-Aware Active Learning. - Olov Andersson; Mariusz Wzorek; Patrick Doherty 001 (AAAI, 2017)

Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance. - Olov Andersson; Oskar Ljungqvist; Mattias Tiger; Daniel Axehill; Fredrik Heintz (CDC, 2018)

Deep RL for autonomous robots: limitations and safety challenges. - Olov Andersson; Patrick Doherty 001 (ESANN, 2019)

Real-Time Robotic Search using Structural Spatial Point Processes. - Olov Andersson; Per Sidén; Johan Dahlin; Patrick Doherty 001; Mattias Villani (UAI, 2019)

Real-Time Robotic Search using Hierarchical Spatial Point Processes. - Olov Andersson; Per Sidén; Johan Dahlin; Patrick Doherty 001; Mattias Villani (CoRR, 2019)

Learning to Make Safe Real-Time Decisions Under Uncertainty for Autonomous Robots. - Olov Andersson (2020)

WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation. - Olov Andersson; Patrick Doherty 001; Mårten Lager; Jens-Olof Lindh; Linnea Persson; Elin Anna Topp; Jesper Tordenlid; Bo Wahlberg (Auton. Intell. Syst., 2021)

NavDreams: Towards Camera-Only RL Navigation Among Humans. - Daniel Dugas; Olov Andersson; Roland Siegwart; Jen Jen Chung (IROS, 2022)

FlowBot: Flow-based Modeling for Robot Navigation. - Daniel Dugas; Kuanqi Cai; Olov Andersson; Nicholas R. J. Lawrance; Roland Siegwart; Jen Jen Chung (IROS, 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 (IROS, 2022)

Fast and Compute-Efficient Sampling-Based Local Exploration Planning via Distribution Learning. - Lukas Schmid 001; Chao Ni 007; Yuliang Zhong; Roland Siegwart; Olov Andersson (IEEE Robotics Autom. Lett., 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 001; Roland Siegwart; Kostas Alexis (Sci. Robotics, 2022)

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 001; Roland Siegwart; Lionel Ott (ICRA, 2023)

Resilient Terrain Navigation with a 5 DOF Metal Detector Drone. - Patrick Pfreundschuh; Rik Bähnemann; Tim Kazik; Thomas Mantel; Roland Siegwart; Olov Andersson (ICRA, 2023)

Credible Online Dynamics Learning for Hybrid UAVs. - David Rohr; Nicholas R. J. Lawrance; Olov Andersson; Roland Siegwart (ICRA, 2023)

Material-Agnostic Shaping of Granular Materials with Optimal Transport. - Nikhilesh Alatur; Olov Andersson; Roland Siegwart; Lionel Ott (IROS, 2023)

Learning to Open Doors with an Aerial Manipulator. - Eugenio Cuniato; Ismail Geles; Weixuan Zhang; Olov Andersson; Marco Tognon; Roland Siegwart (IROS, 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 (ISER, 2023)

Dynablox: Real-Time Detection of Diverse Dynamic Objects in Complex Environments. - Lukas Schmid 001; Olov Andersson; Aurelio L. Sulser; Patrick Pfreundschuh; Roland Siegwart (IEEE Robotics Autom. Lett., 2023)

SeFlow: A Self-supervised Scene Flow Method in Autonomous Driving. - Qingwen Zhang; Yi Yang 095; Peizheng Li; Olov Andersson; Patric Jensfelt (ECCV (1), 2024)

COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry. - Patrick Pfreundschuh; Helen Oleynikova; César Cadena 001; Roland Siegwart; Olov Andersson (ICRA, 2024)

One Map to Find Them All: Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation. - Finn Lukas Busch; Timon Homberger; Jesús Ortega-Peimbert; Quantao Yang; Olov Andersson (CoRR, 2024)

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; et al. (Field Robotics, 2024)

Unified Guidance and Jerk-Level Dynamic Inversion for Accurate Position Control of Hybrid UAVs. - David Rohr; Olov Andersson; Nicholas R. J. Lawrance; Thomas Stastny; Roland Siegwart (IEEE Trans. Robotics, 2025)

S2-Diffusion: Generalizing from Instance-level to Category-level Skills in Robot Manipulation. - Quantao Yang; Michael C. Welle; Danica Kragic; Olov Andersson (CoRR, 2025)

HiMo: High-Speed Objects Motion Compensation in Point Clouds. - Qingwen Zhang; Ajinkya Khoche; Yi Yang 095; Li Ling; Sina Sharif Mansouri; Olov Andersson; Patric Jensfelt (CoRR, 2025)

FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions. - Daniel Marta; Simon Holk; Miguel Vasco; Jens Lundell; Timon Homberger; Finn Busch; Olov Andersson; Danica Kragic; Iolanda Leite (CoRR, 2025)

ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow. - Changhe Chen; Quantao Yang; Xiaohao Xu; Nima Fazeli; Olov Andersson (CoRR, 2025)

CompSLAM: Complementary Hierarchical Multi-Modal Localization and Mapping for Robot Autonomy in Underground Environments. - Shehryar Khattak; Timon Homberger; Lukas Bernreiter; Julian Nubert; Olov Andersson; Roland Siegwart; Kostas Alexis; Marco Hutter 001 (CoRR, 2025)

Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games. - Alejandro Sánchez-Roncero; Olov Andersson; Petter Ögren (CoRR, 2025)