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Publications

Below are the divisions's 50 latest publications according to the KTH library database DiVA.

Link to the full list for RPL in KTH's publication portal can be found at the bottom of this list. Researchers also maintain individual publication lists, see People in the menu on the main page.

Publikationer av författare från RPL

[1]
A. Larsson Forsberg et al., "Temporal Intent-Aware Multi-agent Learning for Network Optimization," in Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops - CoC3CPS, DECSoS, SASSUR, SENSEI, SRToITS, and WAISE, 2025, Proceedings, 2026, pp. 29-40.
[2]
R. Johansson, P. Hammer and T. Lofthouse, "Arbitrarily Applicable Same/Opposite Relational Responding with NARS," in Artificial General Intelligence - 18th International Conference, AGI 2025, Proceedings, 2026, pp. 314-324.
[3]
X. Zhu et al., "Towards Automated Assembly Quality Inspection with Synthetic Data and Domain Randomization," in Proceedings : IEEE/CVF International Conference on Computer Vision Workshop, ICCVW, 2025, 2025, pp. 1395-1403.
[4]
X. Zhu, "Towards Automated Parts Recognition in Manufacturing with Synthetic Data," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:105, 2025.
[5]
Q. Yang et al., "S2-Diffusion : Generalizing from Instance-level to Category-level Skills in Robot Manipulation," IEEE Robotics and Automation Letters, 2025.
[6]
Q. Zhang et al., "HiMo: High-Speed Objects Motion Compensation in Point Clouds," IEEE Transactions on robotics, vol. 41, pp. 5896-5911, 2025.
[7]
S. Qamar et al., "ScaleFusionNet: transformer-guided multi-scale feature fusion for skin lesion segmentation," Scientific Reports, vol. 15, no. 1, 2025.
[8]
Y. Xu et al., "Skor-Xg : Skeleton-Oriented Expected Goal Estimation in Soccer," in Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025, 2025, pp. 5957-5967.
[9]
M. Kartašev et al., "SMaRCSim : Maritime Robotics Simulation Modules," in 2025 Symposium on Maritime Informatics and Robotics, MARIS 2025, 2025.
[10]
Z. Gong et al., "Bridging Cultures : A Framework for Facial Expression and Empathy," in IEEE International Conference on Multimedia and Expo Workshops: Journey to the Center of Machine Imagination, ICMEW 2025 - Proceedings, 2025.
[11]
L. Bruns et al., "ACE-G : Improving Generalization of Scene Coordinate Regression Through Query Pre-Training," in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, pp. 26751-26761.
[12]
L. Bruns, "Improving Spatial Understanding Through Learning and Optimization," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:97, 2025.
[13]
L. Bruns, J. Zhang and P. Jensfelt, "Neural Graph Map : Dense Mapping with Efficient Loop Closure Integration," in 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 2900-2909.
[14]
P. Isaev and P. Hammer, "NARS-GPT : An Integrated Reasoning System for Natural Language Interactions," in Intelligent Systems and Applications - Proceedings of the 2025 Intelligent Systems Conference IntelliSys, 2025, pp. 404-420.
[15]
X. Wang et al., "LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2025, pp. 2912-2923.
[16]
H. Lu et al., "Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation," IEEE Robotics and Automation Letters, vol. 10, no. 11, pp. 11880-11887, 2025.
[17]
R. Wang et al., "Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor Policies," in 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, pp. 3654-3661.
[18]
C. Liu et al., "Message from the General and Program Chairs CVPR 2025," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2025, pp. ccclxxxii-ccclxxxiii.
[19]
A. Sánchez Roncero, R. I. Cabral Muchacho and P. Ögren, "Multi-Agent Obstacle Avoidance Using Velocity Obstacles and Control Barrier Functions," in 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, pp. 6638-6644.
[20]
R. I. Cabral Muchacho and F. T. Pokorny, "Adaptive Distance Functions via Kelvin Transformation," in 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, pp. 3015-3021.
[21]
M. Iovino et al., "Comparison between Behavior Trees and Finite State Machines," IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 21098-21117, 2025.
[22]
J. Styrud et al., "Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation," in 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, pp. 1225-1232.
[23]
M. Vahs et al., "Forward Invariance in Trajectory Spaces for Safety-Critical Control," in 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, pp. 3926-3932.
[24]
A. Khoche et al., "SSF: Sparse Long-Range Scene Flow for Autonomous Driving," in 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, pp. 6394-6400.
[25]
X. Zhu et al., "Domain Randomization for Object Detection in Manufacturing Applications Using Synthetic Data: A Comprehensive Study," in 2025 IEEE International Conference on Robotics and Automation, ICRA 2025, 2025, pp. 16715-16721.
[26]
A. Gorm Hoffmann et al., "Gaussian Process Regression for Value-Censored Functional and Longitudinal Data," Statistics in Medicine, vol. 44, no. 20-22, 2025.
[27]
I. Leite et al., "A Call for Deeper Collaboration Between Robotics and Game Development," in Proceedings of the IEEE 2025 Conference on Games, CoG 2025, 2025.
[28]
C. R. Sidrane and J. Tumova, "TTT : A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems," in 2025 American Control Conference, ACC 2025, 2025, pp. 1288-1293.
[29]
A. Terán Espinoza et al., "A Consistent Dataset for Dynamic Underwater Proximity Operations," in OCEANS 2025 Brest, OCEANS 2025, 2025.
[30]
A. R. Asadi, Y. Zhang and 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.
[31]
C. Nguyen et al., "TinyKube : A Middleware for Dynamic Resource Management in Cloud-Edge Platforms for Large-Scale Cloud Robotics," in Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025, 2025.
[32]
K. J. D'souza, S. A. Muthukumaraswamy and G. Balasubramanian, "On the Analysis of Swarm Robotics in Sensor-Based Environmental Monitoring for Sustainable Poultry Farming," in Intelligent Strategies for ICT - Proceedings of ICTCS 2024, 2025, pp. 73-84.
[33]
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, pp. 149087-149099, 2025.
[34]
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.
[35]
H. Ding et al., "Fast and Robust Visuomotor Riemannian Flow Matching Policy," IEEE Transactions on robotics, vol. 41, pp. 5327-5343, 2025.
[36]
E. Banzuzi, J. D'Ciofalo Khodaverdian and 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.
[37]
A. Reichlin, M. Vasco and D. Kragic Jensfelt, "Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks," Transactions on Machine Learning Research, vol. 2025-July, 2025.
[38]
M. Tarle, "Coordinated Control of FACTS Setpoints Using Reinforcement Learning," Doctoral thesis Stocholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:80, 2025.
[39]
C. Ceylan, K. Ghoorchian and 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.
[40]
W. Ericson et al., "Evaluating machine-learning models for wind-speed downscaling from ECMWF-IFS data," Quarterly Journal of the Royal Meteorological Society, 2025.
[41]
Y. Mohamed et al., "Are You an Expert? Instruction Adaptation Using Multi-Modal Affect Detections with Thermal Imaging and Context," in IEEE International Conference on Robot and Human Interactive Communication, Eindhoven University of Technology, Eindhoven, The Netherlands, Aug 25-29, 2025., 2025.
[42]
Y. Mohamed et al., "Fusion in Context : A Multimodal Approach to Affective State Recognition," in 34th IEEE International Conference on Robot and Human Interactive Communication, Eindhoven University of Technology, Eindhoven, The Netherlands, Aug 25-29, 2025., 2025.
[43]
A. N. Costa and P. Ögren, "A Control- Theoretic Framework for Voronoi-like Space Partitioning in Multi-Agent Drone Systems with Second-Order Costs," in 2025 International Conference on Unmanned Aircraft Systems, ICUAS 2025, 2025, pp. 1049-1056.
[44]
Y. Mohamed, "Multi-Modal Affective State Detection For Dyadic Interactions Using Thermal Imaging and Context," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:74, 2025.
[45]
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, pp. 1144-1150, 2025.
[46]
F. Zangeneh et al., "Quantifying Epistemic Uncertainty in Absolute Pose Regression," in Image Analysis - 23rd Scandinavian Conference, SCIA 2025, Proceedings, 2025, pp. 180-195.
[47]
R. Maus and A. Maki, "Efficient Object-Centric Learning for Videos," in Image Analysis - 23rd Scandinavian Conference, SCIA 2025, Proceedings, 2025, pp. 104-117.
[48]
B. Zhou et al., "FAST-LIVO2 on Resource-Constrained Platforms : LiDAR-Inertial-Visual Odometry with Efficient Memory and Computation," IEEE Robotics and Automation Letters, vol. 10, no. 8, pp. 7931-7938, 2025.
[49]
A. Kiessling et al., "Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path Planning," in 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025, pp. 1692-1698.
[50]
C. Ceylan, K. Ghoorchian and D. Kragic Jensfelt, "Disobeying Directions : Switching Random Walk Filters for Unsupervised Node Embedding Learning on Directed Graphs," Transactions on Machine Learning Research, 2025.
Full list in the KTH publications portal