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Publikationer

Här listas avdelningens 50 senaste publikationer från KTH:s publikationsportal DiVA.

Länk till hela publikationslistan för RPL i DiVA hittas i botten av denna lista.

Publikationer av författare från RPL

[1]
P. Khanna et al., "Early detection of human handover intentions in human–robot collaboration: Comparing EEG, gaze, and hand motion," Robotics and Autonomous Systems, vol. 196, 2026.
[2]
A. Larsson Forsberg et al., "Temporal Intent-Aware Multi-agent Learning for Network Optimization," i Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops - CoC3CPS, DECSoS, SASSUR, SENSEI, SRToITS, and WAISE, 2025, Proceedings, 2026, s. 29-40.
[3]
R. Johansson, P. Hammer och T. Lofthouse, "Arbitrarily Applicable Same/Opposite Relational Responding with NARS," i Artificial General Intelligence - 18th International Conference, AGI 2025, Proceedings, 2026, s. 314-324.
[4]
H. Fang och H. Azizpour, "Leveraging Satellite Image Time Series for Accurate Extreme Event Detection," i 2025 Ieee/Cvf Winter Conference On Applications Of Computer Vision Workshops, Wacvw, 2025, s. 489-498.
[5]
C. Ceylan, "Towards Unsupervised, Analysable and Scalable Node Embedding Models for Transaction Networks," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:100, 2025.
[6]
F. Zangeneh, "Camera Relocalization through Distribution Modeling," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:106, 2025.
[7]
X. Zhu et al., "Towards Automated Assembly Quality Inspection with Synthetic Data and Domain Randomization," i Proceedings : IEEE/CVF International Conference on Computer Vision Workshop, ICCVW, 2025, 2025, s. 1395-1403.
[8]
X. Zhu, "Towards Automated Parts Recognition in Manufacturing with Synthetic Data," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:105, 2025.
[9]
Q. Yang et al., "S2-Diffusion : Generalizing from Instance-level to Category-level Skills in Robot Manipulation," IEEE Robotics and Automation Letters, 2025.
[10]
Q. Zhang et al., "HiMo: High-Speed Objects Motion Compensation in Point Clouds," IEEE Transactions on robotics, vol. 41, s. 5896-5911, 2025.
[11]
S. Qamar et al., "ScaleFusionNet: transformer-guided multi-scale feature fusion for skin lesion segmentation," Scientific Reports, vol. 15, no. 1, 2025.
[12]
Y. Xu et al., "Skor-Xg : Skeleton-Oriented Expected Goal Estimation in Soccer," i Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025, 2025, s. 5957-5967.
[13]
M. Kartašev et al., "SMaRCSim : Maritime Robotics Simulation Modules," i 2025 Symposium on Maritime Informatics and Robotics, MARIS 2025, 2025.
[14]
Z. Gong et al., "Bridging Cultures : A Framework for Facial Expression and Empathy," i IEEE International Conference on Multimedia and Expo Workshops: Journey to the Center of Machine Imagination, ICMEW 2025 - Proceedings, 2025.
[15]
L. Bruns et al., "ACE-G : Improving Generalization of Scene Coordinate Regression Through Query Pre-Training," i Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, s. 26751-26761.
[16]
L. Bruns, J. Zhang och P. Jensfelt, "Neural Graph Map : Dense Mapping with Efficient Loop Closure Integration," i 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, s. 2900-2909.
[17]
L. Bruns, "Improving Spatial Understanding Through Learning and Optimization," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:97, 2025.
[18]
P. Isaev och P. Hammer, "NARS-GPT : An Integrated Reasoning System for Natural Language Interactions," i Intelligent Systems and Applications - Proceedings of the 2025 Intelligent Systems Conference IntelliSys, 2025, s. 404-420.
[19]
X. Wang et al., "LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model," i Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2025, s. 2912-2923.
[20]
H. Lu et al., "Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation," IEEE Robotics and Automation Letters, vol. 10, no. 11, s. 11880-11887, 2025.
[21]
R. Wang et al., "Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor Policies," i 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, s. 3654-3661.
[22]
C. Liu et al., "Message from the General and Program Chairs CVPR 2025," i Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2025, s. ccclxxxii-ccclxxxiii.
[23]
A. Sánchez Roncero, R. I. Cabral Muchacho och P. Ögren, "Multi-Agent Obstacle Avoidance Using Velocity Obstacles and Control Barrier Functions," i 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, s. 6638-6644.
[24]
R. I. Cabral Muchacho och F. T. Pokorny, "Adaptive Distance Functions via Kelvin Transformation," i 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, s. 3015-3021.
[25]
M. Iovino et al., "Comparison between Behavior Trees and Finite State Machines," IEEE Transactions on Automation Science and Engineering, vol. 22, s. 21098-21117, 2025.
[26]
J. Styrud et al., "Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation," i 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, s. 1225-1232.
[27]
M. Vahs et al., "Forward Invariance in Trajectory Spaces for Safety-Critical Control," i 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, s. 3926-3932.
[28]
A. Khoche et al., "SSF: Sparse Long-Range Scene Flow for Autonomous Driving," i 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, s. 6394-6400.
[29]
X. Zhu et al., "Domain Randomization for Object Detection in Manufacturing Applications Using Synthetic Data: A Comprehensive Study," i 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, s. 16715-16721.
[30]
A. Gorm Hoffmann et al., "Gaussian Process Regression for Value-Censored Functional and Longitudinal Data," Statistics in Medicine, vol. 44, no. 20-22, 2025.
[31]
I. Leite et al., "A Call for Deeper Collaboration Between Robotics and Game Development," i Proceedings of the IEEE 2025 Conference on Games, CoG 2025, 2025.
[32]
C. R. Sidrane och J. Tumova, "TTT : A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems," i 2025 American Control Conference, ACC 2025, 2025, s. 1288-1293.
[33]
A. Terán Espinoza et al., "A Consistent Dataset for Dynamic Underwater Proximity Operations," i OCEANS 2025 Brest, OCEANS 2025, 2025.
[34]
A. R. Asadi, Y. Zhang och H. Said, "What do personas say about privacy & security: a systematic literature review through human-AI collaboration," Journal of Ambient Intelligence and Humanized Computing, 2025.
[35]
C. Nguyen et al., "TinyKube : A Middleware for Dynamic Resource Management in Cloud-Edge Platforms for Large-Scale Cloud Robotics," i Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025, 2025.
[36]
K. J. D'souza, S. A. Muthukumaraswamy och G. Balasubramanian, "On the Analysis of Swarm Robotics in Sensor-Based Environmental Monitoring for Sustainable Poultry Farming," i Intelligent Strategies for ICT - Proceedings of ICTCS 2024, 2025, s. 73-84.
[37]
L. F. Wu et al., "Airborne Underwater Vehicle Recovery System: Eagle-Inspired Trajectory Generation and Control for UAV-Assisted Recovery of AUVs," IEEE Access, vol. 13, s. 149087-149099, 2025.
[38]
S. Hafner et al., "DisasterAdaptiveNet: A robust network for multi-hazard building damage detection from very-high-resolution satellite imagery," International Journal of Applied Earth Observation and Geoinformation, vol. 143, 2025.
[39]
H. Ding et al., "Fast and Robust Visuomotor Riemannian Flow Matching Policy," IEEE Transactions on robotics, vol. 41, s. 5327-5343, 2025.
[40]
E. Banzuzi, J. D'Ciofalo Khodaverdian och K. Deckenbach, "A Reproducibility Study of Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks," Transactions on Machine Learning Research, vol. June-2025, 2025.
[41]
A. Reichlin, M. Vasco och D. Kragic Jensfelt, "Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks," Transactions on Machine Learning Research, vol. 2025-July, 2025.
[42]
M. Tarle, "Coordinated Control of FACTS Setpoints Using Reinforcement Learning," Doktorsavhandling Stocholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:80, 2025.
[43]
C. Ceylan, K. Ghoorchian och D. Kragic Jensfelt, "Disobeying Directions : Switching Random Walk Filters for Unsupervised Node Embedding Learning on Directed Graphs," Transactions on Machine Learning Research, vol. 2025-June, 2025.
[44]
W. Ericson et al., "Evaluating machine-learning models for wind-speed downscaling from ECMWF-IFS data," Quarterly Journal of the Royal Meteorological Society, 2025.
[45]
Y. Mohamed et al., "Are You an Expert? Instruction Adaptation Using Multi-Modal Affect Detections with Thermal Imaging and Context," i IEEE International Conference on Robot and Human Interactive Communication, Eindhoven University of Technology, Eindhoven, The Netherlands, Aug 25-29, 2025., 2025.
[46]
Y. Mohamed et al., "Fusion in Context : A Multimodal Approach to Affective State Recognition," i 34th IEEE International Conference on Robot and Human Interactive Communication, Eindhoven University of Technology, Eindhoven, The Netherlands, Aug 25-29, 2025., 2025.
[47]
A. N. Costa och P. Ögren, "A Control- Theoretic Framework for Voronoi-like Space Partitioning in Multi-Agent Drone Systems with Second-Order Costs," i 2025 International Conference on Unmanned Aircraft Systems, ICUAS 2025, 2025, s. 1049-1056.
[48]
Y. Mohamed, "Multi-Modal Affective State Detection For Dyadic Interactions Using Thermal Imaging and Context," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:74, 2025.
[49]
A. Katriniok et al., "Guest Editorial Special Issue on Intelligent Decision-Making, Motion Planning, and Control of Automated Vehicles in Interaction-Driven Traffic Scenarios," IEEE Transactions on Control Systems Technology, vol. 33, no. 4, s. 1144-1150, 2025.
[50]
R. Maus och A. Maki, "Efficient Object-Centric Learning for Videos," i Image Analysis - 23rd Scandinavian Conference, SCIA 2025, Proceedings, 2025, s. 104-117.
Fullständig lista i KTH:s publikationsportal