Andreas Persson
Position: Researcher School/office: School of Science and TechnologyEmail: YW5kcmVhcy5wZXJzc29uO29ydS5zZQ==
Phone: +46 19 303714
Room: T2238
Research subject
Research environments
About Andreas Persson
Andreas Persson is currently working as a Researcher at the Machine Perception and Interaction Lab, Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University. Andreas concluded his Ph.D. studies in 2019 and received his Ph.D. in Information Technology by defending his thesis on the topic of semantic modeling of real-world objects using perceptual anchoring. In particular, he has studied how the concept of perceptual anchoring could be used to model semantically rich representations of real-world objects observed through sensory data.
Andreas's research interests include, besides perceptual anchoring: knowledge representation, human-robot interaction, machine learning, and computer vision.
The anchoring framework, which Andreas has developed alongside his research, is publically available on Github: https://github.com/probabilistic-anchoring/probanch
Research projects
Active projects
- Decoding the marketization of education in Sweden through computational analyses
- Decoding Education Policy: Computational Methods for Education Policy Research
Completed projects
Research groups
Publications
Articles in journals |
Conference papers |
Doctoral theses, comprehensive summaries |
Manuscripts |
Articles in journals
- Persson, A. , Zuidberg Dos Martires, P. , Loutfi, A. & De Raedt, L. (2020). Semantic Relational Object Tracking. IEEE Transactions on Cognitive and Developmental Systems, 12 (1), 84-97. [BibTeX]
- Zuidberg Dos Martires, P. , Kumar, N. , Persson, A. , Loutfi, A. & De Raedt, L. (2020). Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring. Frontiers in Robotics and AI, 7. [BibTeX]
- Persson, A. , Längkvist, M. & Loutfi, A. (2017). Learning Actions to Improve the Perceptual Anchoring of Object. Frontiers in Robotics and AI, 3 (76). [BibTeX]
- Persson, A. & Loutfi, A. (2016). Fast Matching of Binary Descriptors for Large-scale Applications in Robot Vision. International Journal of Advanced Robotic Systems, 13. [BibTeX]
- Persson, A. , Al Moubayed, S. & Loutfi, A. (2014). Fluent human–robot dialogues about grounded objects in home environments. Cognitive Computation, 6 (4), 914-927. [BibTeX]
Conference papers
- Persson, A. & Loutfi, A. (2022). Embodied Affordance Grounding using Semantic Simulations and Neural-Symbolic Reasoning: An Overview of the PlayGround Project. In: AIC 2022 Abstracts of accepted papers. Paper presented at 8th International Workshop on Artificial Intelligence and Cognition (AIC 2022), Örebro, Sweden, June 15-17, 2022. Technical University of Aachen. [BibTeX]
- Persson, A. , Martires, P. Z. D. , De Raedt, L. & Loutfi, A. (2021). ProbAnch: a Modular Probabilistic Anchoring Framework. In: Christian Bessiere, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20. Paper presented at International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, January 7-15, 2021. (pp. 5285-5287). International Joint Conferences on Artificial Intelligence Organization (IJCAI). [BibTeX]
- Längkvist, M. , Persson, A. & Loutfi, A. (2020). Learning Generative Image Manipulations from Language Instructions. Paper presented at Concepts in Action: Representation, Learning, and Application (CARLA 2020), Virtual workshop, September 22-23, 2020. [BibTeX]
- Can, O. A. , Zuidberg Dos Martires, P. , Persson, A. , Gaal, J. , Loutfi, A. , De Raedt, L. , Yuret, D. & Saffiotti, A. (2019). Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations. In: Archna Bhatia, Yonatan Bisk, Parisa Kordjamshidi, Jesse Thomason, Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP). Paper presented at Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP), Minneapolis, Minnesota, USA, June, 2019. (pp. 29-39). Association for Computational Linguistics. [BibTeX]
- Beeson, P. , Kortenkamp, D. , Bonasso, R. P. , Persson, A. , Loutfi, A. & Bona, J. P. (2014). An Ontology-Based Symbol Grounding System for Human-Robot Interaction. In: Artificial Intelligence for Human-Robot Interaction 2014 AAAI Fall Symposium. Paper presented at 2014 AAAI Fall Symposium series, Washington, USA, November 13-15, 2014. (pp. 48-50). AAAI Press. [BibTeX]
- Persson, A. & Loutfi, A. (2013). A Hash Table Approach for Large Scale Perceptual Anchoring. In: 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013). Paper presented at IEEE International Conference on Systems, Man, and Cybernetics (SMC), OCT 13-16, 2013, Manchester, ENGLAND. (pp. 3060-3066). [BibTeX]
- Persson, A. , Coradeschi, S. , Rajasekaran, B. , Krishna, V. , Loutfi, A. & Alirezaie, M. (2013). I would like some food: anchoring objects to semantic web informationin human-robot dialogue interactions. In: Guido Herrmann, Martin J. Pearson, Alexander Lenz, Paul Bremner, Adam Spiers, Ute Leonards, Social Robotics Proceedings of 5th International Conference, ICSR 2013, Bristol, UK, October 27-29, 2013.. Paper presented at International Conference on Social Robotics, ICSR, Bristol, UK, October 27-29, 2013. (pp. 361-370). Springer. [BibTeX]
Doctoral theses, comprehensive summaries
- Persson, A. (2019). Studies in Semantic Modeling of Real-World Objects using Perceptual Anchoring. (Doctoral dissertation). (Comprehensive summary) Örebro: Örebro University. [BibTeX]
Manuscripts
- Persson, A. & Loutfi, A. A Database-Centric Architecture for Efficient Matching of Object Instances in Context of Perceptual Anchoring. [BibTeX]
- Persson, A. , Zuidberg Dos Martires, P. , Loutfi, A. & De Raedt, L. Semantic Relational Object Tracking. [BibTeX]