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Our latest publications - ROBIN

  • Stensby, Emma; Glette, Kyrre & Ellefsen, Kai Olav (2022). Open-Ended Search for Environments and Adapted Agents Using MAP-Elites, Applications of Evolutionary Computation. EvoApplications 2022.. Springer. ISSN 978-3-031-02461-0.
  • Potel, Pierre; Veenstra, Frank & Glette, Kyrre (2021). SoloJam Island : a platform for rhythmic experimentation in spatially segmented multi-agent systems. In Kantan, Prithvi Ravi; Paisa, Razvan & Willemsen, Silvin (Ed.), Proceedings of the 2nd Nordic Sound and Music Computing (NordicSMC) Conference. Aalborg University Copenhagen. doi: 10.5281/zenodo.5717860. Full text in Research Archive
  • Nordmoen, Jørgen; Nygaard, Tønnes Frostad; Samuelsen, Eivind & Glette, Kyrre (2021). On Restricting Real-Valued Genotypes in Evolutionary Algorithms. In Castillo, Pedro A. & Jiménez Laredo, Juan Luiz (Ed.), Applications of Evolutionary Computation. Springer. ISSN 978-3-030-72699-7. p. 3–16. doi: 10.1007/978-3-030-72699-7_1. Full text in Research Archive
  • Tariverdi, Abbas; Venkiteswaran, Venkatasubramanian Kalpathy; Richter, Michiel; Elle, Ole Jakob; Tørresen, Jim & Mathiassen, Kim [Show all 7 contributors for this article] (2021). A Recurrent Neural-Network-Based Real-Time Dynamic Model for Soft Continuum Manipulators. Frontiers in Robotics and AI. ISSN 2296-9144. doi: 10.3389/frobt.2021.631303. Full text in Research Archive
  • Hosseinpoor, Sadegh; Mantelli, Mathias; Pittol, Diego; Kolberg, Mariana; Maffei, Renan & Prestes, Edson [Show all 7 contributors for this article] (2021). Traversability Analysis by Semantic Terrain Segmentation for Mobile Robots. In Xie, Xiaolan & Dauzère-Pérès, Stéphane (Ed.), Proceedings of the 17th International Conference on Automation Science and Engineering (CASE2021). IEEE. ISSN 978-0-7381-2502-2. p. 1407–1413. doi: 10.1109/CASE49439.2021.9551629.
  • Khaksar, Weria; Neggers, Margot; Barakova, Emilia Ivanova & Tørresen, Jim (2021). Generation Differences in Perception of the Elderly Care Robot. In Caleb-Solly, Praminda; Ghafurian, Moojan; Johnson, Michelle & Wada, Kazuyoshi (Ed.), Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication (ROMAN). IEEE. ISSN 978-1-6654-0492-1. p. 551–558. doi: 10.1109/RO-MAN50785.2021.9515534.
  • van Otterdijk, Marieke; Neggers, Margot; Tørresen, Jim & Barakova, Emilia Ivanova (2021). Preferences of Seniors for Robots Delivering a Message With Congruent Approaching Behavior, Proceedings of the 2021 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO) Virtual Conference, July 8-10, 2021. IEEE Robotics and Automation Society. ISSN 978-1-6654-4952-6. doi: 10.1109/ARSO51874.2021.9542833.
  • Nordmoen, Jørgen Halvorsen; Veenstra, Frank; Ellefsen, Kai Olav & Glette, Kyrre (2021). MAP-Elites Enables Powerful Stepping Stones and Diversity for Modular Robotics. Frontiers in Robotics and AI. ISSN 2296-9144. 8. doi: 10.3389/frobt.2021.639173. Full text in Research Archive
  • Nygaard, Tønnes; Howard, David & Glette, Kyrre (2020). Real world morphological evolution is feasible. In Coello Coello, Carlos A. (Eds.), GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM). ISSN 978-1-4503-7127-8. p. 1392–1394. doi: 10.1145/3377929.3398095.
  • Nordmoen, Jørgen Halvorsen; Veenstra, Frank; Ellefsen, Kai Olav & Glette, Kyrre (2020). Quality and Diversity in Evolutionary Modular Robotics, 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. ISSN 978-1-7281-2547-3. p. 2109–2116. doi: 10.1109/SSCI47803.2020.9308511.
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2020). Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). IEEE. ISSN 978-1-7281-7278-1. p. 129–138. doi: 10.1109/ACSOS49614.2020.00034.
  • Ionescu, Bogdan; Müller, Henning; Péteri, Renaud; Abacha, Asma Ben; Datla, Vivek & Hasan, Sadid A. [Show all 33 contributors for this article] (2020). Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 12260, p. 311–341. doi: 10.1007/978-3-030-58219-7_22. Full text in Research Archive
  • Uddin, Md Zia; Noori, Farzan Majeed & Tørresen, Jim (2020). In-Home Emergency Detection Using an Ambient Ultra-Wideband Radar Sensor and Deep Learning. In Noori, Farzan Majeed (Eds.), IEEE 10th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS). IEEE. ISSN 978-1-7281-7314-6. p. 1089–1093. doi: 10.1109/UkrMW49653.2020.9252708.
  • Jakobsen, Petter; Garcia-Ceja, Enrique; Riegler, Michael; Stabell, Lena Antonsen; Nordgreen, Tine & Tørresen, Jim [Show all 8 contributors for this article] (2020). Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls. PLOS ONE. ISSN 1932-6203. 15:e0231995(8), p. 1–16. doi: 10.1371/journal.pone.0231995. Full text in Research Archive
  • Martin, Charles Patrick; Glette, Kyrre; Nygaard, Tønnes & Tørresen, Jim (2020). Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning. Frontiers in Artificial Intelligence. ISSN 2624-8212. 3(6). doi: 10.3389/frai.2020.00006.
  • Saplacan, Diana (2020). Situated Ability: A Case from Higher Education on Digital Learning Environments. In Antona, M. & Stepahnidis, C. (Ed.), Universal Access in Human-Computer Interaction, Applications and Practice. Springer Nature. ISSN 978-3-030-49107-9. p. 256–274. doi: 10.1007/978-3-030-49108-6_19.
  • Woll, Anita & Tørresen, Jim (2020). Bridging the User Barriers of Home Telecare. Advances in Intelligent Systems and Computing. ISSN 2194-5357. 1069, p. 816–835. doi: 10.1007/978-3-030-32520-6_59.
  • Ahmadi, Arash; Till, Katharina; Hafting, Yngve; Schuttpelz, Mark; Bjørås, Magnar & Glette, Kyrre [Show all 8 contributors for this article] (2019). Additive manufacturing of laminar flow cells for single-molecule experiments. Scientific Reports. ISSN 2045-2322. 9(1). doi: 10.1038/s41598-019-53151-z. Full text in Research Archive
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing, Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer. ISSN 978-3-030-35664-4. p. 58–68. doi: https%3A/doi.org/10.1007/978-3-030-35664-4_6.
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Self-adapting Goals Allow Transfer of Predictive Models to New Tasks, Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer. ISSN 978-3-030-35664-4. p. 28–39. doi: https%3A/doi.org/10.1007/978-3-030-35664-4_3.
  • Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria & Tørresen, Jim [Show all 7 contributors for this article] (2019). Functional Data Analysis of Rowing Technique Using Motion Capture Data. In Coleman, Grisha (Eds.), Proceedings of the 6th International Conference on Movement and Computing. ACM Publications. ISSN 978-1-4503-7654-9. doi: 10.1145/3347122.3347135.
  • St-Onge, David; Côté-Allard, Ulysse; Glette, Kyrre Harald; Benoit, Gosselin & Beltrame, Giovanni (2019). Engaging with Robotic Swarms: Commands from Expressive Motion. ACM Transactions on Human-Robot Interaction. ISSN 2573-9522. 8(2). doi: 10.1145/3323213. Full text in Research Archive
  • Frogner, Joakim Ihle; Noori, Farzan Majeed; Halvorsen, Pål; Hicks, Steven; Garcia-Ceja, Enrique & Tørresen, Jim [Show all 7 contributors for this article] (2019). One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. In Boll, Susanne; Lee, Jeannie T; Meyer, Jochen; Nag, Nitish & O’Connor, Noel E. (Ed.), HealthMedia '19: Proceedings of the 4th International Workshop on Multimedia for Personal Health & Health Care. Association for Computing Machinery (ACM). ISSN 978-1-4503-6914-5. p. 9–15. doi: 10.1145/3347444.3356238.
  • Noori, Farzan Majeed; Kahlon, Smiti ; Lindner, Philip; Nordgreen, Tine; Tørresen, Jim & Riegler, Michael (2019). Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety, Proceedings of Content Based Multimedia Information (CBMI 2019). IEEE conference proceedings. ISSN 978-1-7281-4673-7. doi: 10.1109/CBMI.2019.8877454.
  • Casagrande, Flavia Dias; Tørresen, Jim & Zouganeli, Evi (2019). Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11730 LNCS, p. 462–473. doi: 10.1007/978-3-030-30490-4_37.
  • Weber, Aline; Alegre, Lucas N.; Tørresen, Jim & Castro da Silva, Bruno (2019). Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise. In Visi, Federico (Eds.), Music Proceedings of the International Conference on New Interfaces for Musical Expression. Universidade Federal do Rio Grande do Sul. ISSN 2220-4792. p. 174–179. Full text in Research Archive
  • Garcia, Rafael; Falcao, Alexandre Xavier; Telea, Alexandru C.; Castro da Silva, Bruno; Tørresen, Jim & Comba, Joao Luiz Dihl (2019). A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. In Jayne, Chrisina & Somogyvári, Zoltán (Ed.), 2019 International Joint Conference on Neural Networks (IJCNN) . IEEE. ISSN 978-1-7281-1985-4. doi: 10.1109/IJCNN.2019.8852223.
  • Noori, Farzan Majeed; Uddin, Md Zia & Tørresen, Jim (2019). Robot-Care for the Older People: Ethically Justified or Not? Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. IEEE. ISSN 978-1-5386-8129-9. p. 43–47. doi: 10.1109/DEVLRN.2019.8850706.
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2019). Multi-Query Motion Planning in Uncertain Spaces: Incremental Adaptive Randomized Roadmaps. International Journal of Applied Mathematics and Computer Science. ISSN 1641-876X. 29(4), p. 641–654. doi: 10.2478/amcs-2019-0047. Full text in Research Archive
  • Khaksar, Weria; Uddin, Md Zia & Tørresen, Jim (2019). Fuzzy Motion Planning for Nonholonomic Mobile Robot Navigation in Unknown Indoor Environments. International Journal of Mechanical Engineering and Robotics Research (IJMERR). ISSN 2278-0149. 8(1), p. 6–11. doi: 10.18178/ijmerr.8.1.6-11.
  • Teigen, Bjørn Ivar; Ellefsen, Kai Olav & Tørresen, Jim (2019). A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods, Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. IEEE. ISSN 978-1-5386-8129-9. p. 189–194. doi: 10.1109/DEVLRN.2019.8850685.
  • Weber, Aline; Martin, Charles Patrick; Tørresen, Jim & da Silva, Bruno Castro (2019). Identifying Reusable Early-Life Options, Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. IEEE. ISSN 978-1-5386-8129-9. doi: 10.1109/DEVLRN.2019.8850725.
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2019). Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN. IEEE International Conference on Robotics and Automation (ICRA). ISSN 1050-4729. 2019-May, p. 8883–8889. doi: 10.1109/ICRA.2019.8794077. Full text in Research Archive
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. IEEE International Conference on Robotics and Automation (ICRA). ISSN 1050-4729. 2019-May, p. 9446–9452. doi: 10.1109/ICRA.2019.8793663. Full text in Research Archive
  • Rokkones, Anders Skibeli; Uddin, Md Zia & Tørresen, Jim (2019). Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network, 9TH IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS. IEEE. ISSN 978-1-7281-2745-3. p. 283–288. doi: 10.1109/ICCE-Berlin47944.2019.8966234.

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  • Gurrin, Cathal; Schoeffmann, Klaus; Joho, Hideo; Dang Nguyen, Duc Tien; Riegler, Michael & Piras, Luca (2019). LSC '19: Proceedings of the ACM Workshop on Lifelog Search Challenge. Association for Computing Machinery (ACM). ISBN 978-1-4503-6781-3. 50 p.
  • Ellefsen, Kai Olav & Rohlfing, Katharina J. (2019). Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. IEEE. ISBN 978-1-5386-8129-9. 340 p.
  • Uddin, Md Zia (2019). 9TH IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS. IEEE. ISBN 978-1-7281-2745-3.

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  • Sajadi, Seyed Mohammad Reza; Mathiassen, Kim; Brun, Henrik & Elle, Ole Jakob (2022). Design, Kinematic Modeling, and Validation of a Robotic-Assisted Transesophageal Echocardiography System.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). How to write a scientific paper.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). Deep Neural Networks.
  • da Silva, Bruno Castro & Tørresen, Jim (2021). Deep reinforcement learning.
  • Tørresen, Jim; Saplacan, Diana; Lintvedt, Mona Naomi; Mahler, Tobias & Fosch-Villaronga, Eduard (2021). Tutorial: Ethical and Legal Assessments Related to Robots and Systems .
  • Tørresen, Jim (2021). Tutorial: Intelligent System Research – AI Ethical Challenges and Opportunities.
  • Glette, Kyrre; Nygaard, Tønnes Frostad & Vogt, Yngve (2019). Her er universitetets nest selvlærende robot. [Business/trade/industry journal]. Teknisk ukeblad.
  • Nordmoen, Jørgen Halvorsen (2019). Evolutionary Robotics <3 Compute.
  • (2019). Her er universitetets mest avanserte, selvlærende robot. [Business/trade/industry journal]. Apollon.
  • Tørresen, Jim (2019). Etikk blir viktigare for tilgang til pengesekken . [Business/trade/industry journal]. Forskningsetikk.
  • Tørresen, Jim (2019). Folket bør få være med og styre KI-skuta. [Business/trade/industry journal]. Forskningsetikk.
  • Tørresen, Jim (2019). Roboter kan slå salto – men bryr de seg om applausen? [Internet]. LO Ingeniør.
  • Tørresen, Jim (2019). Intelligent Robots and Systems in Real-World Environment.
  • Becker, Artur; Herrebrøden, Henrik; Gonzalez Sanchez, Victor Evaristo; Nymoen, Kristian; Dal Sasso Freitas, Carla Maria & Tørresen, Jim [Show all 7 contributors for this article] (2019). Functional Data Analysis of Rowing Technique Using Motion Capture Data.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Intelligent, Adaptive Robots in Real-World Scenarios.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Adaptive Robot Body and Control for Real-World Environments.
  • Ellefsen, Kai Olav (2019). Hva Kan Roboter Lære av Biologisk Liv?
  • Langhammer, Birgitta; Woll, Anita & Skjønberg, Jeppe (2019). The use of Technology to promote activity and communication by the municipality services, examples from an urban area.
  • Rohlfing, Katharina J. & Tørresen, Jim (2019). Explainability: an interactive view.
  • Comba, Joao Luiz Dihl & Tørresen, Jim (2019). Visual Data Analysis of Unstructured and Big Data.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). Deep Neural Networks.
  • Castro da Silva, Bruno & Tørresen, Jim (2019). How to Write a Scientific Paper .
  • Miura, Jun & Tørresen, Jim (2019). Intelligent Robot Technologies for Care and Lifestyle Support .
  • Tørresen, Jim (2019). Hva er kunstig intelligens?
  • Tørresen, Jim (2019). Artificial Intelligence and Applications in Health and Care .
  • Ellefsen, Kai Olav & Tørresen, Jim (2019). Evolutionary Robotics: Automatic design of robot bodies and control.
  • Tørresen, Jim (2019). Supporting Older People with Robots for Independent Living.
  • Tørresen, Jim (2019). AI for Robots Interacting with Humans.
  • Tørresen, Jim (2019). Ethical Considerations for Healthcare Robots.
  • Tørresen, Jim (2019). Robots and Mobile Apps Solving Problems Better with Artificial Intelligence.
  • Tørresen, Jim (2019). Supporting Older People at Home with a Mobile Robot for Independent Living.
  • Tørresen, Jim (2019). Future and Ethical Perspectives of Robotics and AI.
  • Tørresen, Jim (2019). Sensing Human State with Application in Older People Care and Mental Health Treatment.
  • Tørresen, Jim (2019). Design and Control of Robots for Real-World Environment.
  • Tørresen, Jim (2019). Introduction to Different Challenges in Ethical AI and Possible Ways of Addressing Them.
  • Tørresen, Jim (2019). Intelligent and Adaptive Robots in Real-World Environment.
  • Tørresen, Jim (2019). Ethics and artificial intelligence in healthcare.
  • Sioros, George; Câmara, Guilherme Schmidt; Danielsen, Anne & Nymoen, Kristian (2019). Timing and drummers’ movement: A novel methodology for performance analysis .
  • Noori, Farzan Majeed (2019). A Robust Human Activity Recognition Approach Using OpenPose, Motion Features, and Deep Recurrent Neural Network.
  • Noori, Farzan Majeed (2019). Robot-Care for the Older People: Ethically Justified or Not?
  • Câmara, Guilherme Schmidt; Nymoen, Kristian & Danielsen, Anne (2019). Timing is Everything... Or is it? Part II: Effects of Instructed Timing Style and Timing Reference on Drum-Kit Sound in Groove Performance.
  • Câmara, Guilherme Schmidt; Nymoen, Kristian; Lartillot, Olivier & Danielsen, Anne (2019). Timing is Everything... Or is it? Part I: Effects of Instructed Timing and Reference on Guitar and Bass Sound in Groove Performance.
  • Mahler, Tobias; Bygrave, Lee Andrew & Tørresen, Jim (2019). The VIROS Project: Vulnerability in the Robot Society.
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2019). Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN.
  • Rokkones, Anders Skibeli; Uddin, Md Zia & Torresen, Jim (2019). Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network.
  • Næss, Torgrim Rudland; Tørresen, Jim & Martin, Charles Patrick (2019). A Physical Intelligent Instrument using Recurrent Neural Networks.
  • Martin, Charles Patrick & Torresen, Jim (2019). An Interactive Music Prediction System with Mixture Density Recurrent Neural Networks.
  • Faitas, Andrei; Baumann, Synne Engdahl; Torresen, Jim & Martin, Charles Patrick (2019). Generating Convincing Harmony Parts with Simple Long Short-Term Memory Networks.
  • Martin, Charles Patrick; Næss, Torgrim Rudland; Faitas, Andrei & Baumann, Synne Engdahl (2019). Session on Musical Prediction and Generation with Deep Learning.
  • Martin, Charles Patrick & Tørresen, Jim (2019). An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks.
  • Martin, Charles Patrick (2019). Workshop on Making Predictive NIMEs with Neural Networks.
  • (2019). Kunstig intelligens for tilpasningsdyktige roboter .
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing.
  • Uddin, Md Zia (2019). Activity Recognition Using Smartphone Sensors, Robust Features, and Recurrent Neural Network.
  • Uddin, Md Zia (2019). A Thermal Camera-based Activity Recognition Using Discriminant Skeleton Features and RNN.
  • Nordmoen, Jørgen; Glette, Kyrre & Ellefsen, Kai Olav (2021). Enhancing MAP-Elites to overcome challenges in Evolutionary Robotics. University of Oslo. ISSN 1501-7710.
  • Eijsink, Henrik; Tørresen, Jim & Endestad, Tor (2021). Analyzing Brain Signals for Control. Universitetet i Oslo.
  • Nergård, Katrine Linnea; Tørresen, Jim & Endestad, Tor (2021). Analyzing Brain Signals for Robot Control. Universitetet i Oslo.
  • Orten, Mathias Kramer & Tørresen, Jim (2021). Machine Ethics for Autonomous systems – Learning verifiable rules from the environment. Universitetet i Oslo.
  • Næss, Torgrim Rudland; Martin, Charles Patrick & Tørresen, Jim (2019). A Physical Intelligent Instrument using Recurrent Neural Networks. Universitetet i Oslo.
  • Refsum, Vetle Kind; Khaksar, Weria & Tørresen, Jim (2019). Human aware navigation and reaction for a mobile service robot with a LIDAR unit. Universitetet i Oslo.
  • Lappyová, Veronika; Khaksar, Weria & Tørresen, Jim (2019). Development and implementation of human detection and following method on a mobile robot. Universitetet i Oslo.

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