Shih-Min Yang

Shih-Min Yang

PhD student

AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room T1210
Phone
shih-min.yang@oru.se

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I am a doctoral student in computer science at Örebro University. I am working in the DARKO EU project since August 2021.
My primary research direction is visual perception and robotic manipulation. Currently, my work focuses on grasping various and novel objects taking into account environmental constraint exploitation and nonprehensile manipulation using visual information, such as RGB-D images.
 
Besides, My research interests also include self-supervised learning, domain adaptation, deep reinforcement learning, and 2D/3D visual perception.
 

Publications

Refereed Conference and Workshop Articles

[1] Y. Zhu, Y. Shih-Min, M. Magnusson and A. Wang. HiCrowd : Hierarchical Crowd Flow Alignment for Dense Human Environments. 2026 [ BibTeX | DiVA ]
[2] Y. Zhu, Y. Shih-Min, A. Rudenko, T. P. Kucner, A. J. Lilienthal and M. Magnusson. NeMo-map : Neural implicit flow fields for spatio-temporal motion mapping. 2026 [ BibTeX | DiVA ]
[3] Y. Shih-Min, M. Magnusson, J. A. Stork and T. Stoyanov. KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies. In Proceedings of Machine Learning Research, 267(267):70927-70942, 2025 [ BibTeX | DiVA | PDF ]
[4] Y. Shih-Min, M. Magnusson, J. A. Stork and T. Stoyanov. Learning Extrinsic Dexterity with Parameterized Manipulation Primitives. In 2024 IEEE International Conference on Robotics and Automation (ICRA), pages 5404-5410, 2024 [ BibTeX | DiVA | PDF ]