Olov Andersson

Assistant Professor, RPL, KTH Royal Institute of Technology

Joined

June 2018

Names

Olov Andersson (Preferred)

Emails

****@liu.se (Confirmed)

****@gmail.com (Confirmed)

****@mavt.ethz.ch (Confirmed)

****@kth.se (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Assistant Professor

RPL, KTH Royal Institute of Technology (kth.se)

2023 – Present

Researcher

ETH Zurich (mavt.ethz.ch)

2022 – 2023

Postdoc

ETH Zurich (mavt.ethz.ch)

2020 – 2022

WASP Doctoral Student

Linköping University (liu.se)

2016 – 2020

Advisors, Relations & Conflicts

Postdoc Advisor

Roland Siegwart

Present

Coworker

Fredrik Heintz

Present

PhD Advisor

Patrick Doherty

Present

PhD Advisor

Mattias Villani

Present

Expertise

reinforcement learning

deep learning

Present

robot learning

semantic mapping

embodied AI

Present

robotics

motion planning

navigation

mapping

field robotics

uav

legged robots

manipulation

Present

Publications

TeFlow: Enabling Multi-frame Supervision for Feed-forward Scene Flow Estimation
Qingwen Zhang, Chenhan Jiang, Xiaomeng Zhu, Yunqi Miao, Yushan Zhang, Olov Andersson, Patric Jensfelt
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
Qingwen Zhang, Xiaomeng Zhu, Yushan Zhang, Yixi Cai, Olov Andersson, Patric Jensfelt
- NeurIPS 2025 spotlight
- Readers: Everyone
Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs
Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Dario Cadena Lerma, Roland Siegwart, Lionel Ott
- 2023 (modified: 16 Apr 2023)
- CoRR 2023
- Readers: Everyone
Material-agnostic Shaping of Granular Materials with Optimal Transport
Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott
- 2023 (modified: 16 Apr 2023)
- CoRR 2023
- Readers: Everyone
NavDreams: Towards Camera-Only RL Navigation Among Humans
Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
- 2022 (modified: 15 Jun 2022)
- CoRR 2022
- Readers: Everyone
Fast and Compute-Efficient Sampling-Based Local Exploration Planning via Distribution Learning
Lukas Maximilian Schmid, Chao Ni, Yuliang Zhong, Roland Siegwart, Olov Andersson
- 2022 (modified: 31 Oct 2022)
- IEEE Robotics Autom. Lett. 2022
- Readers: Everyone
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, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Russell Buchanan et al. (16 additional authors not shown)
- 2022 (modified: 14 Apr 2023)
- CoRR 2022
- Readers: Everyone
CERBERUS in the DARPA Subterranean Challenge
Marco Tranzatto, Takahiro Miki, Mihir Dharmadhikari, Lukas Bernreiter, Mihir Kulkarni, Frank Mascarich, Olov Andersson, Shehryar Khattak, Marco Hutter, Roland Siegwart, Kostas Alexis
- 2022 (modified: 16 Apr 2023)
- Sci. Robotics 2022
- Readers: Everyone
NavDreams: Towards Camera-Only RL Navigation Among Humans
Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung
- 2022 (modified: 16 Apr 2023)
- IROS 2022
- Readers: Everyone
FlowBot: Flow-based Modeling for Robot Navigation
Daniel Dugas, Kuanqi Cai, Olov Andersson, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung
- 2022 (modified: 16 Apr 2023)
- IROS 2022
- Readers: Everyone

View all 22 publications

Co-Authors

View all 75 co-authors