Olov Andersson

52 papers A* 10A 6B 1Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	HiMo: High-Speed Objects Motion Compensation in Point Clouds (Abstract Reprint). AAAI Qingwen Zhang, Ajinkya Khoche, Yi Yang, Li Ling, Sina Sharif Mansouri, Olov Andersson, Patric Jensfelt
2026	J	`jnl`	Learning to Localize Reference Trajectories in Image-Space for Visual Navigation. CoRR Finn Lukas Busch, Matti Vahs, Quantao Yang, Jesús Ortega-Peimbert, Yixi Cai, Jana Tumova, Olov Andersson
2026	J	`jnl`	TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation. CoRR Qingwen Zhang, Chenhan Jiang, Xiaomeng Zhu, Yunqi Miao, Yushan Zhang, Olov Andersson, Patric Jensfelt
2025	J	`jnl`	CompSLAM: Complementary Hierarchical Multi-Modal Localization and Mapping for Robot Autonomy in Underground Environments. CoRR Shehryar Khattak, Timon Homberger, Lukas Bernreiter, Julian Nubert, Olov Andersson, Roland Siegwart, Kostas Alexis, Marco Hutter
2025	J	`jnl`	DIV-Nav: Open-Vocabulary Spatial Relationships for Multi-Object Navigation. CoRR Jesús Ortega-Peimbert, Finn Lukas Busch, Timon Homberger, Quantao Yang, Olov Andersson
2025	J	`jnl`	DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method. CoRR Qingwen Zhang, Xiaomeng Zhu, Yushan Zhang, Yixi Cai, Olov Andersson, Patric Jensfelt
2025	J	`jnl`	FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions. CoRR Daniel Marta, Simon Holk, Miguel Vasco, Jens Lundell, Timon Homberger, Finn Busch, Olov Andersson, Danica Kragic, Iolanda Leite
2025	A*	`conf`	Flora: Sample-Efficient Preference-Based Rl Via Low-Rank Style Adaptation of Reward Functions. ICRA Daniel Marta, Simon Holk, Miguel Vasco, Jens Lundell, Timon Homberger, Finn Busch, Olov Andersson, Danica Kragic, Iolanda Leite
2025	J	`jnl`	HiMo: High-Speed Objects Motion Compensation in Point Clouds. CoRR Qingwen Zhang, Ajinkya Khoche, Yi Yang, Li Ling, Sina Sharif Mansouri, Olov Andersson, Patric Jensfelt
2025	J	`jnl`	HiMo: High-Speed Objects Motion Compensation in Point Clouds. IEEE Trans. Robotics Qingwen Zhang, Ajinkya Khoche, Yi Yang, Li Ling, Sina Sharif Mansouri, Olov Andersson, Patric Jensfelt
2025	J	`jnl`	Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games. CoRR Alejandro Sánchez-Roncero, Olov Andersson, Petter Ögren
2025	A*	`conf`	One Map to Find Them All: Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation. ICRA Finn Lukas Busch, Timon Homberger, Jesús Ortega-Peimbert, Quantao Yang, Olov Andersson
2025	J	`jnl`	S CoRR Quantao Yang, Michael C. Welle, Danica Kragic, Olov Andersson
2025	J	`jnl`	S$^{2}$-Diffusion: Generalizing From Instance-Level to Category-Level Skills in Robot Manipulation. IEEE Robotics Autom. Lett. Quantao Yang, Michael C. Welle, Danica Kragic, Olov Andersson
2025	J	`jnl`	Unified Guidance and Jerk-Level Dynamic Inversion for Accurate Position Control of Hybrid UAVs. IEEE Trans. Robotics David Rohr, Olov Andersson, Nicholas R. J. Lawrance, Thomas Stastny, Roland Siegwart
2025	J	`jnl`	ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow. CoRR Changhe Chen, Quantao Yang, Xiaohao Xu, Nima Fazeli, Olov Andersson
2024	A*	`conf`	COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry. ICRA Patrick Pfreundschuh, Helen Oleynikova, César Cadena, Roland Siegwart, Olov Andersson
2024	J	`jnl`	One Map to Find Them All: Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation. CoRR Finn Lukas Busch, Timon Homberger, Jesús Ortega-Peimbert, Quantao Yang, Olov Andersson
2024	J	`jnl`	SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving. CoRR Qingwen Zhang, Yi Yang, Peizheng Li, Olov Andersson, Patric Jensfelt
2024	—	`conf`	SeFlow: A Self-supervised Scene Flow Method in Autonomous Driving. ECCV (1) Qingwen Zhang, Yi Yang, Peizheng Li, Olov Andersson, Patric Jensfelt
2024	J	`jnl`	Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned. Field Robotics Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann, Mihir Kulkarni, Victor Reijgwart, Benoît 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
2023	J	`jnl`	COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry. CoRR Patrick Pfreundschuh, Helen Oleynikova, César Cadena, Roland Siegwart, Olov Andersson
2023	A*	`conf`	Credible Online Dynamics Learning for Hybrid UAVs. ICRA David Rohr, Nicholas R. J. Lawrance, Olov Andersson, Roland Siegwart
2023	J	`jnl`	Dynablox: Real-Time Detection of Diverse Dynamic Objects in Complex Environments. IEEE Robotics Autom. Lett. Lukas Schmid, Olov Andersson, Aurelio L. Sulser, Patrick Pfreundschuh, Roland Siegwart
2023	J	`jnl`	Dynablox: Real-time Detection of Diverse Dynamic Objects in Complex Environments. CoRR Lukas Schmid, Olov Andersson, Aurelio L. Sulser, Patrick Pfreundschuh, Roland Siegwart
2023	J	`jnl`	Learning to Fly Omnidirectional Micro Aerial Vehicles with an End-To-End Control Network. CoRR Eugenio Cuniato, Olov Andersson, Helen Oleynikova, Roland Siegwart, Michael Pantic
2023	—	`conf`	Learning to Fly Omnidirectional Micro Aerial Vehicles with an End-to-End Control Network. ISER Eugenio Cuniato, Olov Andersson, Helen Oleynikova, Roland Siegwart, Michael Pantic
2023	A	`conf`	Learning to Open Doors with an Aerial Manipulator. IROS Eugenio Cuniato, Ismail Geles, Weixuan Zhang, Olov Andersson, Marco Tognon, Roland Siegwart
2023	J	`jnl`	Learning to Open Doors with an Aerial Manipulator. CoRR Eugenio Cuniato, Ismail Geles, Weixuan Zhang, Olov Andersson, Marco Tognon, Roland Siegwart
2023	A	`conf`	Material-Agnostic Shaping of Granular Materials with Optimal Transport. IROS Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott
2023	J	`jnl`	Material-agnostic Shaping of Granular Materials with Optimal Transport. CoRR Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott
2023	A*	`conf`	Obstacle avoidance using Raycasting and Riemannian Motion Policies at kHz rates for MAVs. ICRA Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Cadena, Roland Siegwart, Lionel Ott
2023	J	`jnl`	Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs. CoRR Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Dario Cadena Lerma, Roland Siegwart, Lionel Ott
2023	A*	`conf`	Resilient Terrain Navigation with a 5 DOF Metal Detector Drone. ICRA Patrick Pfreundschuh, Rik Bähnemann, Tim Kazik, Thomas Mantel, Roland Siegwart, Olov Andersson
2022	J	`jnl`	CERBERUS in the DARPA Subterranean Challenge. Sci. Robotics Marco Tranzatto, Takahiro Miki, Mihir Dharmadhikari, Lukas Bernreiter, Mihir Kulkarni, Frank Mascarich, Olov Andersson, Shehryar Khattak, Marco Hutter, Roland Siegwart, Kostas Alexis
2022	J	`jnl`	Fast and Compute-Efficient Sampling-Based Local Exploration Planning via Distribution Learning. IEEE Robotics Autom. Lett. Lukas Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson
2022	J	`jnl`	Fast and Compute-efficient Sampling-based Local Exploration Planning via Distribution Learning. CoRR Lukas Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson
2022	A	`conf`	FlowBot: Flow-based Modeling for Robot Navigation. IROS Daniel Dugas, Kuanqi Cai, Olov Andersson, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung
2022	A	`conf`	NavDreams: Towards Camera-Only RL Navigation Among Humans. IROS Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
2022	J	`jnl`	NavDreams: Towards Camera-Only RL Navigation Among Humans. CoRR Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
2022	A	`conf`	Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots. IROS Liping Shi, Michael Pantic, Olov Andersson, Marco Tognon, Roland Siegwart, Rune Hylsberg Jacobsen
2022	J	`jnl`	Resilient Terrain Navigation with a 5 DOF Metal Detector Drone. CoRR Patrick Pfreundschuh, Rik Bähnemann, Tim Kazik, Thomas Mantel, Roland Siegwart, Olov Andersson
2022	J	`jnl`	Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned. CoRR Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann, Mihir Kulkarni, Victor Reijgwart, Benoît 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
2021	J	`jnl`	WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation. Auton. Intell. Syst. Olov Andersson, Patrick Doherty, Mårten Lager, Jens-Olof Lindh, Linnea Persson, Elin Anna Topp, Jesper Tordenlid, Bo Wahlberg
2020	—	`—`	Learning to Make Safe Real-Time Decisions Under Uncertainty for Autonomous Robots. Olov Andersson
2019	B	`conf`	Deep RL for autonomous robots: limitations and safety challenges. ESANN Olov Andersson, Patrick Doherty
2019	J	`jnl`	Real-Time Robotic Search using Hierarchical Spatial Point Processes. CoRR Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani
2019	A	`conf`	Real-Time Robotic Search using Structural Spatial Point Processes. UAI Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani
2018	—	`conf`	Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance. CDC Olov Andersson, Oskar Ljungqvist, Mattias Tiger, Daniel Axehill, Fredrik Heintz
2017	A*	`conf`	Deep Learning Quadcopter Control via Risk-Aware Active Learning. AAAI Olov Andersson, Mariusz Wzorek, Patrick Doherty
2016	A*	`conf`	Model-predictive control with stochastic collision avoidance using Bayesian policy optimization. ICRA Olov Andersson, Mariusz Wzorek, Piotr Rudol, Patrick Doherty
2015	A*	`conf`	Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization. AAAI Olov Andersson, Fredrik Heintz, Patrick Doherty