Publications

 
Author:
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[1] D. Sun and Q. Liao. A Framework of Robot Manipulability Learning and Control and Its Application in Telerobotics. IEEE transactions on fuzzy systems, 32(1):266-280, 2024BibTeX | DiVA  ]
[2] D. Sun and Q. Liao. A Fuzzy Cluster-based Framework for Robot-Environment Collision Reaction. IEEE transactions on fuzzy systems, 32(1):75-89, 2024BibTeX | DiVA  ]
[3] S. Zhang, D. Sun and Q. Liao. A Receding Horizon Online Trajectory Generation Method for Time-Efficient Path Tracking with Dynamic Factors. IEEE/ASME transactions on mechatronics 2024BibTeX | DiVA  ]
[4] A. Alhashimi, D. Adolfsson, H. Andreasson, A. Lilienthal and M. Magnusson. BFAR : improving radar odometry estimation using a bounded false alarm rate detector. Autonomous Robots, 48(8), 2024BibTeX | DiVA  ]
[5] J. Le Du-Carrée, C. K. Palacios, A. Rotander, M. Larsson, A. Alijagic, O. Kotlyar, M. Engwall, V. Sjöberg, S. Keiter and R. Almeda. Cocktail effects of tire wear particles leachates on diverse biological models : A multilevel analysis. Journal of Hazardous Materials, 471, 2024BibTeX | DiVA  ]
[6] A. Alijagic, F. Södergren Seilitz, A. Bredberg, A. Hakonen, M. Larsson, V. Sjöberg, O. Kotlyar, A. Persson, N. Scherbak, D. Repsilber, A. Kärrman, T. Wang, E. Särndahl and M. Engwall. Comprehensive chemical and toxicological screening of e-waste plastic chemicals. Toxicology Letters, 399(Suppl. 2):S66-S66, 2024BibTeX | DiVA  ]
[7] R. Palm and A. J. Lilienthal. Crossing-Point Estimation in Human-Robot Navigation-Statistical Linearization versus Sigma-Point Transformation. Sensors, 24(11), 2024BibTeX | DiVA  ]
[8] S. Gugliermo, D. C. Dominguez, M. Iannotta, T. Stoyanov and E. Schaffernicht. Evaluating behavior trees. Robotics and Autonomous Systems, 178, 2024BibTeX | DiVA  ]
[9] N. P. Winkler, P. P. Neumann, E. Schaffernicht and A. J. Lilienthal. Gas Distribution Mapping With Radius-Based, Bi-directional Graph Neural Networks (RABI-GNN). In 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 2024BibTeX | DiVA  ]
[10] B. Bazzana, H. Andreasson and G. Grisetti. How-to Augmented Lagrangian on Factor Graphs. IEEE Robotics and Automation Letters, 9(3):2806-2813, 2024BibTeX | DiVA  ]
[11] A. A. Lahoud, E. Schaffernicht and J. A. Stork. Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. In Artificial Neural Networks and Machine Learning – ICANN 2024 : 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part I, 15016:147-162, 2024BibTeX | DiVA  ]
[12] L. Baumanns, D. Pitta-Pantazi, E. Demosthenous, A. J. Lilienthal, C. Christou and M. Schindler. Pattern-Recognition Processes of First-Grade Students : An Explorative Eye-Tracking Study. International Journal of Science and Mathematics Education 2024BibTeX | DiVA  ]
[13] H. Gupta, O. Kotlyar, H. Andreasson and A. J. Lilienthal. Robust Object Detection in Challenging Weather Conditions. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) : Conference Proceedings, pages 7508-7517, 2024BibTeX | DiVA  | PDF ]
[14] N. P. Winkler, O. Kotlyar, E. Schaffernicht, H. Matsukura, H. Ishida, P. P. Neumann and A. J. Lilienthal. Super-resolution for Gas Distribution Mapping. Sensors and actuators. B, Chemical, 419, 2024BibTeX | DiVA  ]
[15] D. Pitta-Pantazi, E. Demosthenous, M. Schindler, A. J. Lilienthal and C. Christou. Structure sense in students' quantity comparison and repeating pattern extension tasks : an eye-tracking study with first graders. Educational Studies in Mathematics 2024BibTeX | DiVA  ]
[16] T. Schreiter, T. R. d. Almeida, Y. Zhu, E. Gutiérrez Maestro, L. Morillo-Mendez, A. Rudenko, L. Palmieri, T. P. Kucner, M. Magnusson and A. J. Lilienthal. THÖR-MAGNI : A large-scale indoor motion capture recording of human movement and robot interaction. The international journal of robotics research 2024BibTeX | DiVA  ]
[17] T. R. d. Almeida, Y. Zhu, A. Rudenko, T. P. Kucner, J. A. Stork, M. Magnusson and A. J. Lilienthal. Trajectory Prediction for Heterogeneous Agents : A Performance Analysis on Small and Imbalanced Datasets. IEEE Robotics and Automation Letters, 9(7):6576-6583, 2024BibTeX | DiVA  ]
[18] H. Gupta, O. Kotlyar, H. Andreasson and A. J. Lilienthal. Video WeAther RecoGnition (VARG) : An Intensity-Labeled Video Weather Recognition Dataset. Journal of imaging, 10(11), 2024BibTeX | DiVA  ]
[19] A. Alijagic, N. Scherbak, O. Kotlyar, P. Karlsson, X. Wang, I. Odnevall, O. Benada, A. Amiryousefi, L. Andersson, A. Persson, J. Felth, H. Andersson, M. Larsson, A. Hedbrant, S. Salihovic, T. Hyötyläinen, D. Repsilber, E. Särndahl and M. Engwall. A Novel Nanosafety Approach Using Cell Painting, Metabolomics, and Lipidomics Captures the Cellular and Molecular Phenotypes Induced by the Unintentionally Formed Metal-Based (Nano)Particles. Cells, 12(2), 2023BibTeX | DiVA  ]
[20] D. Sun and Q. Liao. A Reactive Approach to Handling Multirobot Collision Based on p-Norm Approximation. IEEE Transactions on Industrial Electronics, 71(8):9265-9275, 2023BibTeX | DiVA  ]
[21] V. Ravi, M. Alazab, S. Srinivasan, A. Arunachalam and K. Soman. Adversarial Defense : DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning. IEEE transactions on engineering management, 70(1):249-266, 2023BibTeX | DiVA  ]
[22] L. Morillo-Mendez, R. Stower, A. Sleat, T. Schreiter, I. Leite, O. Martinez Mozos and M. G. S. Schrooten. Can the robot see what I see? Robot gaze drives attention depending on mental state attribution. Frontiers in Psychology, 14, 2023BibTeX | DiVA  ]
[23] S. Gugliermo, E. Schaffernicht, C. Koniaris and A. Saffiotti. Extracting Planning Domains from Execution Traces : a Progress Report. 2023BibTeX | DiVA  | PDF ]
[24] F. Rietz, S. Magg, F. Heintz, T. Stoyanov, S. Wermter and J. A. Stork. Hierarchical goals contextualize local reward decomposition explanations. Neural Computing & Applications, 35(23):16693-16704, 2023BibTeX | DiVA  ]
[25] S. Gugliermo, E. Schaffernicht, C. Koniaris and F. Pecora. Learning Behavior Trees From Planning Experts Using Decision Tree and Logic Factorization. IEEE Robotics and Automation Letters, 8(6):3534-3541, 2023BibTeX | DiVA  ]
[26] D. Adolfsson, M. Magnusson, A. Alhashimi, A. Lilienthal and H. Andreasson. Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments. IEEE Transactions on robotics, 39(2):1476-1495, 2023BibTeX | DiVA  | PDF ]
[27] H. Gupta, A. Lilienthal, H. Andreasson and P. Kurtser. NDT-6D for color registration in agri-robotic applications. Journal of Field Robotics, 40(6):1603-1619, 2023BibTeX | DiVA  ]
[28] U. Norinder and S. Lowry. Predicting Larch Casebearer damage with confidence using Yolo network models and conformal prediction. Remote Sensing Letters, 14(10):1023-1035, 2023BibTeX | DiVA  ]
[29] P. Kurtser and S. Lowry. RGB-D datasets for robotic perception in site-specific agricultural operations : A survey. Computers and Electronics in Agriculture, 212, 2023BibTeX | DiVA  ]
[30] H. Gupta, H. Andreasson, A. J. Lilienthal and P. Kurtser. Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors. Sensors, 23(10), 2023BibTeX | DiVA  ]
[31] H. Gupta, H. Andreasson, M. Magnusson, S. Julier and A. J. Lilienthal. Revisiting Distribution-Based Registration Methods. In 2023 European Conference on Mobile Robots (ECMR), pages 43-48, 2023BibTeX | DiVA  ]
[32] D. Adolfsson. Robust large-scale mapping and localization : Combining robust sensing and introspection. Örebro University, School of Science and Technology, Ph.D. Thesis, 2023BibTeX | DiVA  | PDF ]
[33] T. P. Kucner, M. Magnusson, S. Mghames, L. Palmieri, F. Verdoja, C. S. Swaminathan, T. Krajnik, E. Schaffernicht, N. Bellotto, M. Hanheide and A. J. Lilienthal. Survey of maps of dynamics for mobile robots. The international journal of robotics research, 42(11):977-1006, 2023BibTeX | DiVA  ]
[34] A. Arunachalam, V. Ravi, V. Acharya and T. D. Pham. Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform : COVID-19 Autoannotation Use Case. IEEE transactions on engineering management, 70(8):2695-2706, 2023BibTeX | DiVA  ]
[35] E. Gutiérrez Maestro, T. R. d. Almeida, E. Schaffernicht and O. Martinez Mozos. Wearable-Based Intelligent Emotion Monitoring in Older Adults during Daily Life Activities. Applied Sciences, 13(9), 2023BibTeX | DiVA  ]
[36] V. Sureshkumar, S. Balasubramaniam, V. Ravi and A. Arunachalam. A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine. Expert systems (Print), 39(1), 2022BibTeX | DiVA  ]
[37] H. Andreasson, J. Larsson and S. Lowry. A Local Planner for Accurate Positioning for a Multiple Steer-and-Drive Unit Vehicle Using Non-Linear Optimization. Sensors, 22(7), 2022BibTeX | DiVA  | PDF ]
[38] D. C. Dominguez, M. Iannotta, J. A. Stork, E. Schaffernicht and T. Stoyanov. A Stack-of-Tasks Approach Combined With Behavior Trees : A New Framework for Robot Control. IEEE Robotics and Automation Letters, 7(4):12110-12117, 2022BibTeX | DiVA  ]
[39] C. S. Swaminathan, T. P. Kucner, M. Magnusson, L. Palmieri, S. Molina, A. Mannucci, F. Pecora and A. J. Lilienthal. Benchmarking the utility of maps of dynamics for human-aware motion planning. Frontiers in Robotics and AI, 9, 2022BibTeX | DiVA  | PDF ]
[40] P. Seeburger, A. P. F. Herdenstam, P. Kurtser, A. Arunachalam, V. Castro Alves, T. Hyötyläinen and H. Andreasson. Controlled mechanical stimuli reveal novel associations between basil metabolism and sensory quality. Food Chemistry, 404(Pt A), 2022BibTeX | DiVA  ]
[41] D. Adolfsson, M. Castellano-Quero, M. Magnusson, A. J. Lilienthal and H. Andreasson. CorAl : Introspection for robust radar and lidar perception in diverse environments using differential entropy. Robotics and Autonomous Systems, 155, 2022BibTeX | DiVA  ]
[42] J. Salvado, M. Mansouri and F. Pecora. DiMOpt : a Distributed Multi-robot Trajectory Optimization Algorithm. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 10110-10117, 2022BibTeX | DiVA  ]
[43] H. Fan, E. Schaffernicht and A. Lilienthal. Ensemble Learning-Based Approach for Gas Detection Using an Electronic Nose in Robotic Applications. Frontiers in Chemistry, 10, 2022BibTeX | DiVA  | PDF ]
[44] M. Brandão, M. Mansouri and M. Magnusson. Editorial : Responsible Robotics. Frontiers in Robotics and AI, 9, 2022BibTeX | DiVA  ]
[45] Y. Yang, J. A. Stork and T. Stoyanov. Learning differentiable dynamics models for shape control of deformable linear objects. Robotics and Autonomous Systems, 158, 2022BibTeX | DiVA  ]
[46] Y. Yang, J. A. Stork and T. Stoyanov. Learn to Predict Posterior Probability in Particle Filtering for Tracking Deformable Linear Objects. In 3rd Workshop on Robotic Manipulation of Deformable Objects: Challenges in Perception, Planning and Control for Soft Interaction (ROMADO-SI), IROS 2022, Kyoto, Japan 2022BibTeX | DiVA  | PDF ]
[47] N. P. Winkler, O. Kotlyar, E. Schaffernicht, H. Fan, H. Matsukura, H. Ishida, P. P. Neumann and A. Lilienthal. Learning From the Past : Sequential Deep Learning for Gas Distribution Mapping. In ROBOT2022 : Fifth Iberian Robotics Conference: Advances in Robotics, Volume 2, 590(590):178-188, 2022BibTeX | DiVA  ]
[48] Q. Yang, J. A. Stork and T. Stoyanov. MPR-RL : Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer. IEEE Robotics and Automation Letters, 7(3):7652-7659, 2022BibTeX | DiVA  ]
[49] A. Arunachalam and H. Andreasson. MSI-RPi : Affordable, Portable, and Modular Multispectral Imaging Prototype Suited to Operate in UV, Visible and Mid-Infrared Regions. Journal of Mobile Multimedia, 18(3):723-742, 2022BibTeX | DiVA  ]
[50] A. P. F. Herdenstam, P. Kurtser, J. Swahn and A. Arunachalam. Nature versus machine : A pilot study using a semi-trained culinary panel to perform sensory evaluation of robot-cultivated basil affected by mechanically induced stress. International Journal of Gastronomy and Food Science, 29, 2022BibTeX | DiVA  ]
[51] A. Arunachalam and H. Andreasson. RaspberryPi‐Arduino (RPA) powered smart mirrored and reconfigurable IoT facility for plant science research. Internet Technology Letters, 5(1), 2022BibTeX | DiVA  | PDF ]
[52] M. Luperto, T. P. Kucner, A. Tassi, M. Magnusson and F. Amigoni. Robust Structure Identification and Room Segmentation of Cluttered Indoor Environments From Occupancy Grid Maps. IEEE Robotics and Automation Letters, 7(3):7974-7981, 2022BibTeX | DiVA  ]
[53] H. Fan. Robot-aided Gas Sensing for Emergency Responses. Örebro University, School of Science and Technology, Ph.D. Thesis, 2022BibTeX | DiVA  ]
[54] M. Schindler and A. Lilienthal. Students’ collaborative creative process and its phases in mathematics : an explorative study using dual eye tracking and stimulated recall interviews. ZDM - the International Journal on Mathematics Education, 54(1):163-178, 2022BibTeX | DiVA  | PDF ]
[55] N. P. Winkler, H. Matsukura, P. P. Neumann, E. Schaffernicht, H. Ishida and A. J. Lilienthal. Super-Resolution for Gas Distribution Mapping : Convolutional Encoder-Decoder Network. In 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 2022BibTeX | DiVA  ]
[56] Q. Yang, A. Dürr, E. A. Topp, J. A. Stork and T. Stoyanov. Variable Impedance Skill Learning for Contact-Rich Manipulation. IEEE Robotics and Automation Letters, 7(3):8391-8398, 2022BibTeX | DiVA  | PDF ]
[57] P. Güler, J. A. Stork and T. Stoyanov. Visual state estimation in unseen environments through domain adaptation and metric learning. Frontiers in Robotics and AI, 9, 2022BibTeX | DiVA  ]
[58] D. C. Hoang, J. A. Stork and T. Stoyanov. Voting and Attention-Based Pose Relation Learning for Object Pose Estimation From 3D Point Clouds. IEEE Robotics and Automation Letters, 7(4):8980-8987, 2022BibTeX | DiVA  ]
[59] A. Montazeri, A. Lilienthal and J. D. Albertson. A spatial land use clustering framework for investigating the role of land use in mediating the effect of meteorology on urban air quality. Atmospheric Environment: X, 12, 2021BibTeX | DiVA  ]
[60] A. Arunachalam, V. Ravi, M. Krichen, R. Alroobaea and J. S. Alqurni. Analytical Comparison of Resource Search Algorithms in Non-DHT Mobile Peer-to-Peer Networks. Computers, Materials and Continua, 68(1):983-1001, 2021BibTeX | DiVA  ]
[61] D. Sun and Q. Liao. Asymmetric Bilateral Telerobotic System with Shared Autonomy Control. IEEE Transactions on Control Systems Technology, 29(5):1863-1876, 2021BibTeX | DiVA  | PDF ]
[62] A. Alhashimi, D. Adolfsson, M. Magnusson, H. Andreasson and A. Lilienthal. BFAR – Bounded False Alarm Rate detector for improved radar odometry estimation. 2021BibTeX | DiVA  ]
[63] J. Salvado, M. Mansouri and F. Pecora. Combining Multi-Robot Motion Planning and Goal Allocation using Roadmaps. In 2021 IEEE International Conference on Robotics and Automation (ICRA), pages 10016-10022, 2021BibTeX | DiVA  ]
[64] A. Alhashimi, M. Magnusson, S. Knorn and D. Varagnolo. Calibrating Range Measurements of Lidars Using Fixed Landmarks in Unknown Positions. Sensors, 21(1), 2021BibTeX | DiVA  ]
[65] D. Adolfsson, M. Magnusson, A. Alhashimi, A. Lilienthal and H. Andreasson. CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), pages 5462-5469, 2021BibTeX | DiVA  | PDF ]
[66] T. Wiedemann, D. Shutin and A. Lilienthal. Experimental Validation of Domain Knowledge Assisted Robotic Exploration and Source Localization. In 2021 IEEE International Conference on Autonomous Systems (ICAS) 2021BibTeX | DiVA  | PDF ]
[67] S. Paul, A. Arunachalam, D. Khodadad, H. Andreasson and O. Rubanenko. Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator. International Journal of Automation and Computing, 18(4):568-580, 2021BibTeX | DiVA  | PDF ]
[68] A. Rudenko, L. Palmieri, J. Doellinger, A. Lilienthal and K. O. Arras. Learning Occupancy Priors of Human Motion From Semantic Maps of Urban Environments. IEEE Robotics and Automation Letters, 6(2):3248-3255, 2021BibTeX | DiVA  ]
[69] Q. Yang, A. Dürr, E. A. Topp, J. A. Stork and T. Stoyanov. Learning Impedance Actions for Safe Reinforcement Learning in Contact-Rich Tasks. In NeurIPS 2021 Workshop on Deployable Decision Making in Embodied Systems (DDM) 2021BibTeX | DiVA  | PDF ]
[70] Z. Zhou, C. Zhao, D. Adolfsson, S. Su, Y. Gao, T. Duckett and L. Sun. NDT-Transformer : Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation. In 2021 IEEE International Conference on Robotics and Automation (ICRA) 2021BibTeX | DiVA  ]
[71] Q. Yang, J. A. Stork and T. Stoyanov. Null space based efficient reinforcement learning with hierarchical safety constraints. In 2021 European Conference on Mobile Robots (ECMR) 2021BibTeX | DiVA  | PDF ]
[72] A. Arunachalam and H. Andreasson. Real-time plant phenomics under robotic farming setup : A vision-based platform for complex plant phenotyping tasks. Computers & electrical engineering, 92, 2021BibTeX | DiVA  | PDF ]
[73] T. P. Kucner, M. Luperto, S. Lowry, M. Magnusson and A. Lilienthal. Robust Frequency-Based Structure Extraction. In 2021 IEEE International Conference on Robotics and Automation (ICRA), pages 1715-1721, 2021BibTeX | DiVA  | PDF ]
[74] D. Sun, A. Kiselev, Q. Liao, T. Stoyanov and A. Loutfi. A New Mixed Reality - based Teleoperation System for Telepresence and Maneuverability Enhancement. IEEE Transactions on Human-Machine Systems, 50(1):55-67, 2020BibTeX | DiVA  | PDF ]
[75] R. T. Chadalavada, H. Andreasson, M. Schindler, R. Palm and A. J. Lilienthal. Bi-directional navigation intent communication using spatial augmented reality and eye-tracking glasses for improved safety in human-robot interaction. Robotics and Computer-Integrated Manufacturing, 61, 2020BibTeX | DiVA  ]
[76] A. Rudenko, T. P. Kucner, C. S. Swaminathan, R. T. Chadalavada, K. O. Arras and A. Lilienthal. Benchmarking Human Motion Prediction Methods. 2020BibTeX | DiVA  | PDF ]
[77] L. v. Herck, P. Kurtser, L. Wittemans and Y. Edan. Crop design for improved robotic harvesting : A case study of sweet pepper harvesting. Biosystems Engineering, 192:294-308, 2020BibTeX | DiVA  ]
[78] O. Kotlyar, M. Pankratova, M. Kamalian-Kopae, A. Vasylchenkova, J. Prilepsky and S. Turitsyn. Combining nonlinear Fourier transform and neural network-based processing in optical communications. Optics Letters, 45(13):3462-3465, 2020BibTeX | DiVA  | PDF ]
[79] S. Srinivasan, R. Vinayakumar, A. Arunachalam and M. Alazab. DURLD : Malicious URL Detection Using Deep Learning-Based Character Level Representations. In Malware Analysis Using Artificial Intelligence and Deep Learning, pages 535-554, 2020BibTeX | DiVA  ]
[80] T. Wiedemann. Domain Knowledge Assisted Robotic Exploration and Source Localization. Örebro University, School of Science and Technology, Ph.D. Thesis, 2020BibTeX | DiVA  | PDF ]
[81] J. A. Stork and T. Stoyanov. Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. In IEEE International Conference on Robotics and Automation, pages 10758-10764, 2020BibTeX | DiVA  ]
[82] W. Yu, F. Amigoni, T. P. Kucner and Y. C. Lee. Exploring the Possibility of Semantic Map Data Representation as an Extension of the IEEE 2D and 3D Map Data Representation Standards. In 2020 20th International Conference on Control, Automation and Systmes (ICCAS 2020) 2020BibTeX | DiVA  ]
[83] M. A. Arain. Efficient Remote Gas Inspection with an Autonomous Mobile Robot. Örebro University, School of Science and Technology, Ph.D. Thesis, 2020BibTeX | DiVA  | PDF ]
[84] L. Sun, D. Adolfsson, M. Magnusson, H. Andreasson, I. Posner and T. Duckett. Localising Faster : Efficient and precise lidar-based robot localisation in large-scale environments. In 2020 IEEE International Conference on Robotics and Automation (ICRA), pages 4386-4392, 2020BibTeX | DiVA  ]
[85] T. P. Kucner, A. Lilienthal, M. Magnusson, L. Palmieri and C. S. Swaminathan. Maps of Dynamics. In Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots, pages 15-32, 2020BibTeX | DiVA  ]
[86] T. P. Kucner, A. Lilienthal, M. Magnusson, L. Palmieri and C. S. Swaminathan. Modelling Motion Patterns with Circular-Linear Flow Field Maps. In Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots, pages 65-113, 2020BibTeX | DiVA  ]
[87] T. P. Kucner, A. Lilienthal, M. Magnusson, L. Palmieri and C. S. Swaminathan. Modelling Motion Patterns with Conditional Transition Map. In Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots, pages 33-64, 2020BibTeX | DiVA  ]
[88] T. P. Kucner, A. Lilienthal, M. Magnusson, L. Palmieri and C. S. Swaminathan. Motion Planning Using MoDs. In Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots, pages 115-141, 2020BibTeX | DiVA  ]
[89] T. Vintr, Z. Yan, K. Eyisoy, F. Kubis, J. Blaha, J. Ulrich, C. S. Swaminathan, S. Molina, T. P. Kucner, M. Magnusson, G. Cielniak, J. Faigl, T. Duckett, A. J. Lilienthal and T. Krajnik. Natural Criteria for Comparison of Pedestrian Flow Forecasting Models. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 11197-11204, 2020BibTeX | DiVA  ]
[90] D. C. Hoang, A. Lilienthal and T. Stoyanov. Object-RPE : Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks. Robotics and Autonomous Systems, 133, 2020BibTeX | DiVA  | PDF ]
[91] P. Kurtser and Y. Edan. Planning the sequence of tasks for harvesting robots. Robotics and Autonomous Systems, 131, 2020BibTeX | DiVA  ]
[92] J. A. Stork. Preparing to adapt is key for Olympic curling robots. Science robotics, 5(46), 2020BibTeX | DiVA  ]
[93] T. P. Kucner, M. Magnusson, C. S. Swaminathan, A. Lilienthal and L. Palmieri. Preface. In Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots, pages vii-x, 2020BibTeX | DiVA  ]
[94] S. Sun, M. Mielle, A. J. Lilienthal and M. Magnusson. 3QFP : Efficient neural implicit surface reconstruction using Tri-Quadtrees and Fourier feature Positional encoding. 2024BibTeX | DiVA  | PDF ]
[95] S. Sun, M. Mielle, A. J. Lilienthal and M. Magnusson. High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization. 2024BibTeX | DiVA  | PDF ]
[96] A. Alijagic, O. Kotlyar, M. Larsson, S. Salihovic, A. Hedbrant, U. Eriksson, P. Karlsson, A. Persson, N. Scherbak, K. Färnlund, M. Engwall and E. Särndahl. Immunotoxic, genotoxic, and endocrine disrupting impacts of polyamide microplastic particles and chemicals. Environment International, 183, 2024BibTeX | DiVA  ]
[97] H. Fan, E. Schaffernicht and A. J. Lilienthal. Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks. In 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 2024BibTeX | DiVA  ]
[98] A. Alijagic, L. Sinisalu, D. Duberg, O. Kotlyar, N. Scherbak, M. Engwall, M. Oresic and T. Hyötyläinen. Metabolic and phenotypic changes induced by PFAS exposure in two human hepatocyte cell models. Environment International, 190, 2024BibTeX | DiVA  ]
[99] I. Rudenko, A. Rudenko, A. J. Lilienthal, K. O. Arras and B. Bruno. The Child Factor in Child-Robot Interaction : Discovering the Impact of Developmental Stage and Individual Characteristics. International Journal of Social Robotics 2024BibTeX | DiVA  ]
[100] M. Hilger, V. Kubelka, D. Adolfsson, H. Andreasson and A. Lilienthal. Towards introspective loop closure in 4D radar SLAM. 2024BibTeX | DiVA  ]
[101] T. Schreiter, L. Morillo-Mendez, R. T. Chadalavada, A. Rudenko, E. Billing, M. Magnusson, K. O. Arras and A. J. Lilienthal. Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) : Proceedings, pages 293-300, 2023BibTeX | DiVA  ]
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