Olov Andersson

Computer Science · Physical Sciences

12h-index605citations55works2.32yr avg
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Research Topics

Robotic Path Planning Algorithms(18), Robotics and Sensor-Based Localization(11), Reinforcement Learning in Robotics(10), Advanced Vision and Imaging(8), Multimodal Machine Learning Applications(7)

Publications55 total

TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation
ArXiv.org·2026Open Access
TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation
arXiv (Cornell University)·2026Open Access
Learning to Localize Reference Trajectories in Image-Space for Visual Navigation
arXiv (Cornell University)·2026Open Access
Learning to Localize Reference Trajectories in Image-Space for Visual Navigation
ArXiv.org·2026Open Access
S$^{2}$-Diffusion: Generalizing From Instance-Level to Category-Level Skills in Robot Manipulation
IEEE Robotics and Automation Letters·2025· 2 cited
DIV-Nav: Open-Vocabulary Spatial Relationships for Multi-Object Navigation
arXiv (Cornell University)·2025Open Access
Evaluating machine‐learning models for wind‐speed downscaling from ECMWF‐IFS data
Quarterly Journal of the Royal Meteorological Society·2025Open Access
Learned Controllers for Agile Quadrotors in Pursuit-Evasion Games
arXiv (Cornell University)·2025Open Access
One Map to Find Them All: Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation
2025· 1 cited
Flora: Sample-Efficient Preference-Based Rl Via Low-Rank Style Adaptation of Reward Functions
2025· 1 cited
CompSLAM: Complementary Hierarchical Multi-Modal Localization and Mapping for Robot Autonomy in Underground Environments
arXiv (Cornell University)·2025Open Access
ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow
arXiv (Cornell University)·2025Open Access
FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions
arXiv (Cornell University)·2025Open Access
HiMo: High-Speed Objects Motion Compensation in Point Clouds
arXiv (Cornell University)·2025Open Access
S$^2$-Diffusion: Generalizing from Instance-level to Category-level Skills in Robot Manipulation
arXiv (Cornell University)·2025Open Access
HiMo: High-Speed Objects Motion Compensation in Point Clouds
IEEE Transactions on Robotics·2025· 1 citedOpen Access
Unified Guidance and Jerk-Level Dynamic Inversion for Accurate Position Control of Hybrid UAVs
IEEE Transactions on Robotics·2024· 3 cited
SeFlow: A Self-supervised Scene Flow Method in Autonomous Driving
Lecture notes in computer science·2024· 13 cited
One Map to Find Them All: Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation
arXiv (Cornell University)·2024Open Access
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Roland Siegwart(24), Patrick Pfreundschuh(8), Patrick Doherty(7), Quantao Yang(7), César Cadena(6), Timon Homberger(6), Lionel Ott(6), Patric Jensfelt(6), Finn Lukas Busch(6), Lukas Bernreiter(4), Shehryar Khattak(4), Marco Hutter(4), Kostas Alexis(4), Helen Oleynikova(4), Qingwen Zhang(4), Michael Pantic(4), Rik Bähnemann(4), Nikhilesh Alatur(4), Marco Tranzatto(3), Mihir Dharmadhikari(3)