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Amy Loutfi

Befattning: Professor Organisation: Institutionen för naturvetenskap och teknik

E-post: amy.loutfi@oru.se

Telefon: 019 303000 (växel)

Rum: T2243, E3103

Forskningsämne

Datavetenskap

Forskningsmiljöer

Centrum för tillämpade autonoma sensorsystem (AASS)

Om Amy Loutfi

Amy Loutfi är professor i datavetenskap vid Örebro universitet (AASS) och leder
forskargruppen AASS Machine Perception and Interaction Lab. Hon är vicerektor för AI och innovation.

Forskning

Amy Loutfi fick sin doktorsexamen i datavetenskap 2006 inom maskin-perception. Hon undersökte specifikt hur gassensorer kunde integreras på robotplattformar och hur dessa robotar kan jobba med människor för att lösa en rad problem.

Sedan dess har Amy Loutfi utvidgat sina forskningsintressen till att inkludera allmän forskning inom maskin-perception, där AI-metoder som maskininlärning används för tolkning av sensordata.

Hon har också utvidgat sin forskning inom området Human-Robot Interaction och studerat olika plattformar som inkluderar helt autonoma robotar, men också teleopererade robotar. Hon har lång erfarenhet av att samarbeta med industrin och den offentliga sektorn inom sina forskningsprojekt, som innefattar AI, robotik och människa-robot-interaktion.

Samarbeten och uppdrag

Amy Loutfi har ett omfattande engagemang för strategiska frågor inom AI för hela Sverige. Hon är aktiv i WASP, Wallenberg Autonomous Sensor Systems Program. I sin roll som vicerektor för AI är hon involverad i AI Sweden, AI Competence for Sweden, Omstartskommissionen och regeringens samverkansprogram Näringslivets digitala strukturomvandling. Läs mer: www.oru.se/ai.

Amy Loutfi valdes 2020 till ledamot inom Kungliga Ingenjörsvetenskapsakademien.

För en fullständig lista över hennes publikationer och bibliometri, se Googles profilsida.

Pågående projekt

Avslutade projekt

Forskargrupper

Maskin Perception och Interaktion

Publikationer

Artiklar i tidskrifter

Akalin, N. , Kiselev, A. , Kristoffersson, A. & Loutfi, A. (2023). A Taxonomy of Factors Influencing Perceived Safety in Human-Robot Interaction. International Journal of Social Robotics.
Liao, Q. , Sun, D. , Zhang, S. , Loutfi, A. & Andreasson, H. (2023). Fuzzy Cluster-based Group-wise Point Set Registration with Quality Assessment. IEEE Transactions on Image Processing, 32, 550-564.
Giaretta, A. & Loutfi, A. (2023). On the people counting problem in smart homes: undirected graphs and theoretical lower-bounds. Journal of Ambient Intelligence and Humanized Computing, 14 (4), 3839-3851.
Morillo-Mendez, L. , Schrooten, M. G. S. , Loutfi, A. & Martinez Mozos, O. (2022). Age-Related Differences in the Perception of Robotic Referential Gaze in Human-Robot Interaction. International Journal of Social Robotics, 1-13.
Krishna Pathi, S. , Kiselev, A. & Loutfi, A. (2022). Detecting Groups and Estimating F-Formations for Social Human-Robot Interactions. Multimodal Technologies and Interaction, 6 (3).
Akalin, N. , Kristoffersson, A. & Loutfi, A. (2022). Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures. International journal of human-computer studies, 158.
Olatunji, S. , Potenza, A. , Kiselev, A. , Oron-Gilad, T. , Loutfi, A. & Edan, Y. (2022). Levels of Automation for a Mobile Robot Teleoperated by a Caregiver. ACM Transactions on Human-Robot Interaction, 11 (2).
Sun, D. , Liao, Q. & Loutfi, A. (2022). Type-2 Fuzzy Model-based Movement Primitives for Imitation Learning. IEEE Transactions on robotics, 38 (4), 2462-2480.
Spagnolo, P. , Aghajan, H. , Bebis, G. , Gong, S. , Loutfi, A. , Sigal, L. & Zheng, W. (2021). Guest Editorial Introduction to the Special Issue on Large-Scale Visual Sensor Networks: Architectures and Applications. IEEE transactions on circuits and systems for video technology (Print), 31 (4), 1249-1252.
Chimamiwa, G. , Alirezaie, M. , Pecora, F. & Loutfi, A. (2021). Multi-sensor dataset of human activities in a smart home environment. Data in Brief, 34.
Karlsson, A. , Stassen, W. , Loutfi, A. , Wallgren, U. M. , Larsson, E. & Kurland, L. (2021). Predicting mortality among septic patients presenting to the emergency department-a cross sectional analysis using machine learning. BMC Emergency Medicine, 21 (1).
Sun, D. , Kiselev, A. , Liao, Q. , Stoyanov, T. & Loutfi, A. (2020). A New Mixed Reality - based Teleoperation System for Telepresence and Maneuverability Enhancement. IEEE Transactions on Human-Machine Systems, 50 (1), 55-67.
Köckemann, U. , Alirezaie, M. , Renoux, J. , Tsiftes, N. , Ahmed, M. U. , Morberg, D. , Lindén, M. & Loutfi, A. (2020). Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes. Sensors, 20 (3).
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.
Sun, D. , Liao, Q. , Kiselev, A. , Stoyanov, T. & Loutfi, A. (2020). Shared mixed reality-bilateral telerobotic system. Robotics and Autonomous Systems, 134.
Sun, D. , Liao, Q. & Loutfi, A. (2020). Single Master Bimanual Teleoperation System with Efficient Regulation. IEEE Transactions on robotics, 36 (4), 1022-1037.
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.
Ackum, S. , Borg, T. , Braunerhjelm, P. , Calmfors, L. , Eklund, K. , Hansson, Å. , Hultkrantz, L. , Loutfi, A. & et al. (2020). Vi tar fram en handfast plan för en omstart av Sverige. Dagens Nyheter (27 april).
Krishna, S. , Kiselev, A. , Kristoffersson, A. , Repsilber, D. & Loutfi, A. (2019). A Novel Method for Estimating Distances from a Robot to Humans Using Egocentric RGB Camera. Sensors, 19 (14).
Sun, D. , Liao, Q. , Stoyanov, T. , Kiselev, A. & Loutfi, A. (2019). Bilateral telerobotic system using Type-2 fuzzy neural network based moving horizon estimation force observer for enhancement of environmental force compliance and human perception. Automatica, 106, 358-373.
Krishna, S. , Kristoffersson, A. , Kiselev, A. & Loutfi, A. (2019). F-Formations for Social Interaction in Simulation Using Virtual Agents and Mobile Robotic Telepresence Systems. Multimodal Technologies and Interaction, 3 (4).
Alirezaie, M. , Längkvist, M. , Sioutis, M. & Loutfi, A. (2019). Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation. Semantic Web, 10 (5), 863-880.
Kristoffersson, A. , Kolkowska, E. & Loutfi, A. (2019). Summative evaluation of a sensor-based cognitive assistive technology: Impact on quality of life and perceived utility. Gerontechnology, 18 (2), 59-69.
Akalin, N. , Kristoffersson, A. & Loutfi, A. (2019). The Influence of Feedback Type in Robot-Assisted Training. Multimodal Technologies and Interaction, 3 (4).
Längkvist, M. , Jendeberg, J. , Thunberg, P. , Loutfi, A. & Lidén, M. (2018). Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks. Computers in Biology and Medicine, 97, 153-160.
Banaee, H. , Schaffernicht, E. & Loutfi, A. (2018). Data-Driven Conceptual Spaces: Creating Semantic Representations for Linguistic Descriptions of Numerical Data. The journal of artificial intelligence research, 63, 691-742.
Alirezaie, M. , Renoux, J. , Köckemann, U. , Kristoffersson, A. , Karlsson, L. , Blomqvist, E. , Tsiftes, N. , Voigt, T. & et al. (2017). An Ontology-based Context-aware System for Smart Homes: E-care@home. Sensors, 17 (7).
Alirezaie, M. , Kiselev, A. , Längkvist, M. , Klügl, F. & Loutfi, A. (2017). An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring. Sensors, 17 (11).
Persson, A. , Längkvist, M. & Loutfi, A. (2017). Learning Actions to Improve the Perceptual Anchoring of Object. Frontiers in Robotics and AI, 3 (76).
Längkvist, M. , Kiselev, A. , Alirezaie, M. & Loutfi, A. (2016). Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks. Remote Sensing, 8 (4).
Orlandini, A. , Kristoffersson, A. , Almquist, L. , Björkman, P. , Cesta, A. , Cortellessa, G. , Galindo, C. , Gonzalez-Jimenez, J. & et al. (2016). ExCITE Project: A Review of Forty-Two Months of Robotic Telepresence Technology. Presence - Teleoperators and Virtual Environments, 25 (3), 204-221.
Persson, A. & Loutfi, A. (2016). Fast Matching of Binary Descriptors for Large-scale Applications in Robot Vision. International Journal of Advanced Robotic Systems, 13.
Banaee, H. & Loutfi, A. (2015). Data-driven rule mining and representation of temporal patterns in physiological sensor data. IEEE journal of biomedical and health informatics, 19 (5), 1557-1566.
Loutfi, A. , Coradeschi, S. , Mani, G. , Shankar, P. & Rayappan, J. (2015). Electronic noses for food quality: a review. Journal of Food Engineering, 144, 103-111.
Längkvist, M. & Loutfi, A. (2015). Learning feature representations with a cost-relevant sparse autoencoder. International Journal of Neural Systems, 25 (1), 1450034.
Alirezaie, M. & Loutfi, A. (2015). Reasoning for sensor data interpretation: an application to air quality monitoring. Journal of Ambient Intelligence and Smart Environments, 7 (4), 579-597.
d. C. Silva-Lopez, L. S. , Broxvall, M. , Loutfi, A. & Karlsson, L. (2015). Towards configuration planning with partially ordered preferences: representation and results. Künstliche Intelligenz, 9 (2), 173-183.
Kristoffersson, A. , Coradeschi, S. , Loutfi, A. & Severinson Eklundh, K. (2014). Assessment of interaction quality in mobile robotic telepresence: an elderly perspective. Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems, 15 (2), 343-357.
Alirezaie, M. & Loutfi, A. (2014). Automated reasoning using abduction for interpretation of medical signals. Journal of Biomedical Semantics, 5.
Koshmak, G. , Linden, M. & Loutfi, A. (2014). Dynamic Bayesian Networks for Context-Aware Fall Risk Assessment. Sensors, 14 (5), 9330-9348.
Persson, A. , Al Moubayed, S. & Loutfi, A. (2014). Fluent human–robot dialogues about grounded objects in home environments. Cognitive Computation, 6 (4), 914-927.
Coradeschi, S. , Loutfi, A. & Wrede, B. (2013). A short review of symbol grounding in robotic and intelligent systems. Künstliche Intelligenz, 27 (2), 129-136.
Banaee, H. , Ahmed, M. U. & Loutfi, A. (2013). Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges. Sensors, 13 (12), 17472-17500.
Längkvist, M. , Coradeschi, S. , Loutfi, A. & Rayappan, J. B. B. (2013). Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning. Sensors, 13 (2), 1578-1592.
Ahmed, M. U. , Banaee, H. & Loutfi, A. (2013). Health monitoring for elderly: an application using case-based reasoning and cluster analysis. ISRN Artificial Intelligence, 2013 (2013), 1-11.
Kristoffersson, A. , Severinson Eklundh, K. & Loutfi, A. (2013). Measuring the quality of interaction in mobile robotic telepresence: a pilot's perspective. International Journal of Social Robotics, 5 (1), 89-101.
Ahmed, M. U. & Loutfi, A. (2013). Physical activity identification using supervised machine learning and based on pulse rate. International Journal of Advanced Computer Sciences and Applications, 4 (7), 210-217.
Alirezaie, M. & Loutfi, A. (2013). Towards Automatic Ontology Alignment for Enriching Sensor Data Analysis. Communications in Computer and Information Science, 415, 179-193.
Kristoffersson, A. , Coradeschi, S. , Severinson Eklundh, K. & Loutfi, A. (2013). Towards measuring quality of interaction in mobile robotic telepresence using sociometric badges. Paladyn - Journal of Behavioral Robotics, 4 (1), 34-48.
Mosiello, G. , Kiselev, A. & Loutfi, A. (2013). Using augmented reality to improve usability of the user interface for driving a telepresence robot. Paladyn - Journal of Behavioral Robotics, 4 (3), 174-181.
Daoutis, M. , Coradeschi, S. & Loutfi, A. (2012). Cooperative knowledge based perceptual anchoring. International journal on artificial intelligence tools, 21 (3).
Längkvist, M. , Karlsson, L. & Loutfi, A. (2012). Sleep stage classification using unsupervised feature learning. Advances in Artificial Neural Systems, 107046.
Daoutis, M. , Coradeschi, S. & Loutfi, A. (2012). Towards concept anchoring for cognitive robots. Intelligent Service Robotics, 5 (4), 213-228.
Kristoffersson, A. , Coradeschi, S. , Loutfi, A. & Severinson Eklundh, K. (2011). An exploratory study of health professionals' attitudes about robotic telepresence technology. Journal of technology in human services, 29 (4), 263-283.
Trincavelli, M. , Coradeschi, S. , Loutfi, A. , Söderquist, B. & Thunberg, P. (2010). Direct identification of bacteria in blood culture samples using an electronic nose. IEEE Transactions on Biomedical Engineering, 57 (12), 2884-2890.
Loutfi, A. , Coradeschi, S. , Lilienthal, A. J. & Gonzalez, J. (2009). Gas Distribution Mapping of Multiple Odour Sources using a Mobile Robot. Robotica (Cambridge. Print), 27 (2), 311-319.
Daoutis, M. , Coradeschi, S. & Loutfi, A. (2009). Grounding commonsense knowledge in intelligent systems. Journal of Ambient Intelligence and Smart Environments, 1 (4), 311-321.
Trincavelli, M. , Coradeschi, S. & Loutfi, A. (2009). Odour classification system for continuous monitoring applications. Sensors and actuators. B, Chemical, 58 (2), 265-273.
Loutfi, A. & Coradeschi, S. (2008). Odor Recognition for Intelligent Systems. IEEE Intelligent Systems, 23 (1), 41-48.
Loutfi, A. , Coradeschi, S. , Daoutis, M. & Melchert, J. (2008). Using Knowledge Representation for Perceptual Anchoring in a Robotic System. International Journal on Artificial Intelligence Tools, 17 (5), 925-944.
Loutfi, A. & Coradeschi, S. (2006). Smell, think and act: a cognitive robot discriminating odours. Autonomous Robots, 20 (3), 239-249.
Loutfi, A. , Broxvall, M. , Coradeschi, S. & Karlsson, L. (2005). Object recognition: a new application for smelling robots. Robotics and Autonomous Systems, 52 (4), 272-289.

Artiklar, forskningsöversikter

Chimamiwa, G. , Giaretta, A. , Alirezaie, M. , Pecora, F. & Loutfi, A. (2022). Are Smart Homes Adequate for Older Adults with Dementia?. Sensors, 22 (11).
Akalin, N. & Loutfi, A. (2021). Reinforcement Learning Approaches in Social Robotics. Sensors, 21 (4).
Koshmak, G. , Loutfi, A. & Linden, M. (2016). Challenges and Issues in Multisensor Fusion Approach for Fall Detection: Review Paper. Journal of Sensors.
Längkvist, M. , Karlsson, L. & Loutfi, A. (2014). A review of unsupervised feature learning and deep learning for time-series modeling. Pattern Recognition Letters, 42 (1), 11-24.
Kristoffersson, A. , Coradeschi, S. & Loutfi, A. (2013). A review of mobile robotic telepresence. Advances in Human-Computer Interaction, 2013, 902316.
Lilienthal, A. J. , Loutfi, A. & Duckett, T. (2006). Airborne chemical sensing with mobile robots. Sensors, 6 (11), 1616-1678.

Böcker

Alexopoulou, S. , Fart, F. , Jonsson, A. , Karni, L. , Kenalemang, L. M. , Krishna, S. , Lindblad, K. , Loutfi, A. & et al. Kristoffersson, E. (ed.) & Nilsson, K. (ed.) (2018). Successful ageing in an interdisciplinary context: popular science presentations. Örebro: Örebro University.

Doktorsavhandlingar

Loutfi, A. (2006). Odour recognition using electronic noses in robotic and intelligent systems. (Doctoral dissertation). Örebro: Öerbro universitetsbibliotek.

Kapitel i böcker, del av antologier

Alirezaie, M. , Längkvist, M. & Loutfi, A. (2020). Knowledge Representation and Reasoning Methods to Explain Errors in Machine Learning. I: Ilaria Tiddi, Freddy Lécué, Pascal Hitzler, Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges. . IOS Press.
Akalin, N. , Kristoffersson, A. & Loutfi, A. (2019). Evaluating the Sense of Safety and Security in Human - Robot Interaction with Older People. I: Oliver Korn, Social Robots: Technological, Societal and Ethical Aspects of Human-Robot Interaction (ss. 237-264). . Springer.
Kristoffersson, A. , Ulfvarson, J. & Loutfi, A. (2019). Teknik i hemmet - tekniska förutsättningar. I: Mirjam Ekstedt & Maria Flink, Hemsjukvård: olika perspektiv på trygg och säker vård (ss. 396-421). . Liber.
Krishna, S. & Loutfi, A. (2018). Robotics for Successful Ageing. I: Eleonor Kristoffersson & Kerstin Nilsson, Successful ageing in an interdisciplinary context: popular science presentations (ss. 29-35). Örebro, Sweden: Örebro University.
Daoutis, M. , Coradeschi, S. & Loutfi, A. (2012). Knowledge representation for anchoring symbolic concepts to perceptual data. I: Springet Publishing, Bridges between the Methodological and Practical Work of the Robotics and Cognitive Systems Communities - From Sensors to Concepts. . Springer Publishing Company.
Coradeschi, S. & Loutfi, A. (2008). A review of Past and Future Trends in Perceptual Anchoring. I: Tools in Artificial Intelligence. Vienna: I-Tech Eduacation and Publishing.
Broxvall, M. , Loutfi, A. & Saffiotti, A. (2007). Interacting with a robot ecology using task templates. I: 2007 RO-MAN: 16TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1-3 (ss. 486-491). NEW YORK: IEEE.

Konferensbidrag

Landin, C. , Zhao, X. , Längkvist, M. & Loutfi, A. (2023). An Intelligent Monitoring Algorithm to Detect Dependencies between Test Cases in the Manual Integration Process. I: 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). Konferensbidrag vid 16th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW 2023), Dublin, Ireland, April 16-20, 2023. (ss. 353-360). IEEE.
Rahaman, G. M. A. , Längkvist, M. & Loutfi, A. (2022). Deep Learning based Aerial Image Segmentation for Computing Green Area Factor. I: 2022 10th European Workshop on Visual Information Processing (EUVIP). Konferensbidrag vid 10th European Workshop on Visual Information Processing (EUVIP), Lisbon, Portugal, September 11-14, 2022. IEEE.
Persson, A. & Loutfi, A. (2022). Embodied Affordance Grounding using Semantic Simulations and Neural-Symbolic Reasoning: An Overview of the PlayGround Project. I: AIC 2022 Abstracts of accepted papers. Konferensbidrag vid 8th International Workshop on Artificial Intelligence and Cognition (AIC 2022), Örebro, Sweden, June 15-17, 2022. Technical University of Aachen.
Blad, S. , Längkvist, M. , Klügl, F. & Loutfi, A. (2022). Empirical analysis of the convergence of Double DQN in relation to reward sparsity. I: Wani, MA; Kantardzic, M; Palade, V; Neagu, D; Yang, L; Chan, KY, 21st IEEE International Conference on Machine Learning and Applications. ICMLA 2022 Proceedings. Konferensbidrag vid 21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), Nassau, Bahamas, December 12-14, 2022. (ss. 591-596). IEEE.
Morillo-Mendez, L. , Schrooten, M. G. S. , Loutfi, A. & Martinez Mozos, O. (2021). Age-Related Differences in the Perception of Eye-Gaze from a Social Robot. I: Haizhou Li; Shuzhi Sam Ge; Yan Wu; Agnieszka Wykowska; Hongsheng He; Xiaorui Liu; Dongyu Li; Jairo Perez-Osorio, Social Robotics 13th International Conference, ICSR 2021, Singapore, Singapore, November 10–13, 2021, Proceedings. Konferensbidrag vid 13th International Conference (ICSR 2021), Singapore, Singapore, November 10–13, 2021. (ss. 350-361). Springer.
Persson, A. , Martires, P. Z. D. , De Raedt, L. & Loutfi, A. (2021). ProbAnch: a Modular Probabilistic Anchoring Framework. I: Christian Bessiere, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20. Konferensbidrag vid International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, January 7-15, 2021. (ss. 5285-5287). International Joint Conferences on Artificial Intelligence Organization (IJCAI).
Akalin, N. , Krakovsky, M. , Avioz-Sarig, O. , Loutfi, A. & Edan, Y. (2021). Robot-Assisted Training with Swedish and Israeli Older Adults. I: Haizhou Li; Shuzhi Sam Ge; Yan Wu; Agnieszka Wykowska; Hongsheng He; Xiaorui Liu; Dongyu Li; Jairo Perez-Osorio, Social Robotics 13th International Conference, ICSR 2021, Singapore, Singapore, November 10–13, 2021, Proceedings. Konferensbidrag vid 13th International Conference on Social Robotics (ICSR 2021), Singapore, Singapore, November 10–13, 2021. (ss. 487-496). Springer.
Renoux, J. , Luperto, M. , Basilico, N. , Romeo, M. , Milis, M. , Lunardini, F. , Ferrante, S. , Loutfi, A. & et al. (2020). A Virtual Caregiver for Assisted Daily Living of Pre-Frail Users. I: Ute Schmid, Franziska Klügl, Diedrich Wolter, KI 2020: Advances in Artificial Intelligence 43rd German Conference on AI, Bamberg, Germany, September 21–25, 2020, Proceedings. Konferensbidrag vid 43rd German Conference on Artificial Intelligence (KI 2020), (virtual conference), Bamberg, Germany, September 21-25, 2020. (ss. 176-189). Cham: Springer.
Landin, C. , Tahvili, S. , Haggren, H. , Längkvist, M. , Muhammad, A. & Loutfi, A. (2020). Cluster-Based Parallel Testing Using Semantic Analysis. I: 2020 IEEE International Conference On Artificial Intelligence Testing (AITest). Konferensbidrag vid 2nd IEEE International Conference on Artificial Intelligence Testing (AITest 2020), Oxford, United Kingdom, August 3-6, 2020. (ss. 99-106). IEEE.
Banaee, H. , Chimamiwa, G. , Alirezaie, M. & Loutfi, A. (2020). Explaining Habits and Changes of Activities in Smart Homes. Konferensbidrag vid Artificial Intelligence for Health, Personalised Medicine and Wellbeing (HELPLINE), in conjunction with ECAI 2020, Santiago de Compostela, Spain (Digital Conference), August 29 - September 8, 2020.
Längkvist, M. , Persson, A. & Loutfi, A. (2020). Learning Generative Image Manipulations from Language Instructions. Konferensbidrag vid Concepts in Action: Representation, Learning, and Application (CARLA 2020), Virtual workshop, September 22-23, 2020.
Landin, C. , Hatvani, L. , Tahvili, S. , Haggren, H. , Längkvist, M. , Loutfi, A. & Håkansson, A. (2020). Performance Comparison of Two Deep Learning Algorithms in Detecting Similarities Between Manual Integration Test Cases. I: The Fifteenth International Conference on Software Engineering Advances. Konferensbidrag vid The Fifteenth International Conference on Software Engineering Advances (ICSEA 2020), Porto, Portugal, October 18-22, 2020. (ss. 90-97). International Academy, Research and Industry Association (IARIA).
Olatunji, S. , Potenza, A. , Oron-Gilad, T. , Kiselev, A. , Loutfi, A. & Edan, Y. (2020). Usability Testing for the Operation of a Mobile Robotic Telepresence System by Older Adults. I: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Konferensbidrag vid Human Factors and Ergonomics Society (HFES 2020) 64th International Annual Meeting, Virtual Meeting, October 5-9, 2020. (ss. 1191-1195). Sage Publications.
Krishna, S. , Kristoffersson, A. , Kiselev, A. & Loutfi, A. (2019). Estimating Optimal Placement for a Robot in Social Group Interaction. I: IEEE International Workshop on Robot and Human Communication (ROMAN). Konferensbidrag vid The 28th IEEE International Conference on Robot and Human Interactive Communication – RO-MAN 2019, New Delhi, India, October 14-18, 2019. IEEE.
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. I: Archna Bhatia, Yonatan Bisk, Parisa Kordjamshidi, Jesse Thomason, Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP). Konferensbidrag vid Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP), Minneapolis, Minnesota, USA, June, 2019. (ss. 29-39). Association for Computational Linguistics.
Chimamiwa, G. , Alirezaie, M. , Banaee, H. , Köckemann, U. & Loutfi, A. (2019). Towards Habit Recognition in Smart Homes for People with Dementia. I: Ioannis Chatzigiannakis, Boris De Ruyter, Irene Mavrommati, Ambient Intelligence 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings. Konferensbidrag vid 15th European Conference on Ambient Intelligence (AmI 2019), Rome, Italy, November 13-15, 2019. (ss. 363-369). Springer Nature.
Alirezaie, M. , Längkvist, M. , Sioutis, M. & Loutfi, A. (2018). A Symbolic Approach for Explaining Errors in Image Classification Tasks. Konferensbidrag vid 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 13-19, 2018.
Stoyanov, T. , Krug, R. , Kiselev, A. , Sun, D. & Loutfi, A. (2018). Assisted Telemanipulation: A Stack-Of-Tasks Approach to Remote Manipulator Control. I: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Konferensbidrag vid IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 1-5, 2018. (ss. 6640-6645). IEEE Press.
Lidén, M. , Jendeberg, J. , Längkvist, M. , Loutfi, A. & Thunberg, P. (2018). Discrimination between distal ureteral stones and pelvic phleboliths in CT using a deep neural network: more than local features needed. Konferensbidrag vid European Congress of Radiology (ECR) 2018, Vienna, Austria, 28 Feb.-4 Mar., 2018.
Akalin, N. , Kiselev, A. , Kristoffersson, A. & Loutfi, A. (2018). Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning.. I: Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction, 2018. Konferensbidrag vid FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction (AI-MHRI), Stockholm, Sweden 14-15 July, 2018. (ss. 48-50). MHRI.
Köckemann, U. , Tsiftes, N. & Loutfi, A. (2018). Integrating Constraint-based Planning with LwM2M for IoT Network Scheduling. Konferensbidrag vid Workshop on AI for Internet of Things (AI4IoT), Stockholm, July 15, 2018.
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Renoux, J. , Köckemann, U. & Loutfi, A. (2018). Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning. I: Achilles Kameas, Kostas Stathis, Ambient Intelligence. Konferensbidrag vid 14th European Conference on Ambient Intelligence, Larnaca, Cyprus, November 12-14. (ss. 74-89). Springer.
Vuono, A. , Luperto, M. , Banfi, J. , Basilico, N. , Borghese, N. A. , Sioutis, M. , Renoux, J. & Loutfi, A. (2018). Seeking Prevention of Cognitive Decline in Elders via Activity Suggestion by A Virtual Caregiver. I: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '18). Konferensbidrag vid 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden, July 10-15, 2018. (ss. 1835-1837). Association for Computing Machinery (ACM).
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Akalin, N. , Kiselev, A. , Kristoffersson, A. & Loutfi, A. (2017). An Evaluation Tool of the Effect of Robots in Eldercare on the Sense of Safety and Security. I: Kheddar, Abderrahmane; Yoshida, Eiichi; Ge, Shuzhi Sam; Suzuki, Kenji; Cabibihan, John-John; Eyssel, Friederike; He, Hongsheng, Social Robotics 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings. Konferensbidrag vid 9th International Conference on Social Robotics (ICSR 2017), Tsukuba, Japan, November 22-24, 2017. (ss. 628-637). Springer International Publishing.
Renoux, J. , Alirezaie, M. , Karlsson, L. , Köckemann, U. , Pecora, F. & Loutfi, A. (2017). Context Recognition in Multiple Occupants Situations: Detecting the Number of Agents in a Smart Home Environment with Simple Sensors. I: Knowledge-based techniques for problem solving and reasoning(KnowProS 2017) A workshop at AAAI 2017, February 5, 2017, San Francisco, U.S.A.. Konferensbidrag vid Workshop on Knowledge-Based Techniques for Problem Solving and Reasoning (KnowProS’17). (ss. 758-764). Palo Alto: AAAI Press.
Pathi, S. K. , Kiselev, A. & Loutfi, A. (2017). Estimating F-Formations for Mobile Robotic Telepresence. I: Estimating F-Formations for Mobile Robotic Telepresence. Konferensbidrag vid 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2017), March 6-9, 2017, Vienna, Austria. (ss. 255-256). Vienna, Austria: ACM Digital Library.
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Krishna, S. , Kiselev, A. & Loutfi, A. (2017). Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups. I: Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups. Konferensbidrag vid ECCE Workshop 2017: : Robots in Contexts: Human-Robot Interaction as Physically and Socially Embedded conducted at Umeå University, Sweden, 19 September, 2017. Umeå, Sweden: Umeå University.
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Kiselev, A. , Scherlund, M. , Kristoffersson, A. , Efremova, N. & Loutfi, A. (2015). Auditory immersion with stereo sound in a mobile robotic telepresence system. I: 10th ACM/IEEE International Conference on Human-Robot Interaction, 2015. Konferensbidrag vid 10th ACM/IEEE International Conference on Human-Robot Interaction, Portland, USA, March 2-5, 2015. Association for Computing Machinery (ACM).
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Loutﬁ, A. , Coradeschi, S. , Karlsson, L. & Broxvall, M. (2005). Putting olfaction into action: anchoring symbols to sensor data using olfaction and planning. I: Workshop on planning and learning in a priori unknown or dynamic domains Proceedings of the 19th IJCAI conference Edinburgh, UK, August 2005. Konferensbidrag vid 19th IJCAI conference, Edinburgh, UK, August 2005. (ss. 35-40).
Loutﬁ, A. & Coradeschi, S. (2004). Forming odour categories using an electronic nose. I: Proceedings of the European conference on artificial intelligence. Konferensbidrag vid European conference on artificial intelligence, ECAI, Valencia, Spain, 2004. (ss. 119-124).
Loutﬁ, A. , Coradeschi, S. , Karlsson, L. & Broxvall, M. (2004). Putting olfaction into action: using an electronic nose on an multi-sensing mobile robot. I: Proceedings of the 2004 IEEE/RSJ international conference on intelligent robots and systems (IROS 2004). Konferensbidrag vid The 2004 IEEE/RSJ international conference on intelligent robots and systems (IROS 2004), Sendai, Japan, 28 Sept.-2 Oct. (ss. 337-342).
Loutﬁ, A. , Coradeschi, S. , Duckett, T. & Wide, P. (2001). Odor source identification by grounding linguistic descriptions in an artificial nose. I: Proceedings of the the sensor fusion conference architectures, algorithms, and applications. Konferensbidrag vid Sensor Fusion Conference: Architectures, Algorithms, and Applications, SPIE, Orlando, FL, 2001. (ss. 273-281).

Licentiatavhandlingar

Loutfi, A. (2003). Communicating perceptions: grounding symbols to artificial olfactory signals. Lic.-avh. Örebro: Örebro universitetsbibliotek.

Manuskript

Längkvist, M. , Loutfi, A. & Karlsson, L. Selective attention auto-encoder for automatic sleep staging.
Persson, A. & Loutfi, A. A Database-Centric Architecture for Efficient Matching of Object Instances in Context of Perceptual Anchoring.
Akalin, N. , Kristoffersson, A. , Kiselev, A. & Loutfi, A. Guidelines for Identifying Factors Influencing Perceived Safety in Human-Robot Interaction.
Persson, A. , Zuidberg Dos Martires, P. , Loutfi, A. & De Raedt, L. Semantic Relational Object Tracking.
Kristoffersson, A. , Coradeschi, S. , Eklundh, K. S. & Loutfi, A. Towards measuring quality of interaction in mobile robotic telepresence using sociometric badges..
Kristoffersson, A. , Coradeschi, S. , Loutfi, A. & Eklundh, K. S. Using retrospective interviews to assess interaction quality in mobile robotic telepresence.

Proceedings (redaktörskap)

Coradeschi, S. (ed.) , Cortellessa, G. (ed.) , Kristoffersson, A. (ed.) & Loutfi, A. (ed.) (2012). Proceedings of the Ro-man 2012 Workshop on Social Robotics Telepresence.. Consiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie della Cognizione.
Coradeschi, S. (ed.) , Cortellessa, G. (ed.) , Kristoffersson, A. (ed.) , Loutfi, A. (ed.) & Severinson Eklundh, K. (ed.) (2011). Proceedings of the 2011 HRI Workshop on Social Robotic Telepresence. Rome, Italy: Consiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie della Cognizione.

Rapporter

Kristoffersson, A. , Kolkowska, E. & Loutfi, A. (2015). En metod för mätning av ett sensornätverks inverkan på trygghet: Slutrapport. Örebro, Sweden: Örebro University.