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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]
R. Wang et al., "PALM: Enhanced Generalizability for Local Visuomotor Policies Via Perception Alignment," IEEE Robotics and Automation Letters, vol. 11, no. 4, pp. 4865-4872, 2026.
[2]
A. Khoche et al., "DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance," IEEE Robotics and Automation Letters, vol. 11, no. 3, pp. 3836-3843, 2026.
[3]
M. Vahs et al., "Parameter-Robust MPPI for Safe Online Learning of Unknown Parameters," IEEE Robotics and Automation Letters, vol. 11, no. 4, pp. 3931-3938, 2026.
[4]
L. Gulnaar, S. A. Muthukumaraswamy and K. J. D'souza, "MediCheck Express : A Smart Self-service Kiosk for Vital Monitoring," in ICT for Intelligent Systems - Proceedings of ICTIS 2025, 2026, pp. 563-573.
[5]
J. Styrud, "Creating Behavior Trees for Autonomous Versatile Robots," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2026:17, 2026.
[6]
S. Qamar et al., "UNet with self-adaptive Mamba-like attention and causal-resonance learning for medical image segmentation," Scientific Reports, vol. 16, no. 1, 2026.
[7]
S. An et al., "Dexterous Manipulation through Imitation Learning : A Survey," IEEE Transactions on Automation Science and Engineering, vol. 23, pp. 1760-1792, 2026.
[8]
A. Terán Espinoza et al., "STERN: Simultaneous Trajectory Estimation and Relative Navigation for Autonomous Underwater Proximity Operations," IEEE Journal of Oceanic Engineering, vol. 51, no. 1, pp. 293-316, 2026.
[9]
M. Tarle et al., "Reinforcement Learning for Optimizing FACTS Setpoints With Limited Set of Measurements," IEEE Open Access Journal of Power and Energy, vol. 13, pp. 51-63, 2026.
[10]
S. Jin, R. Wang and F. T. Pokorny, "RealCraft : Attention Control as A Tool for Zero-Shot Consistent Video Editing," in Neural Information Processing - 32nd International Conference, ICONIP 2025, Proceedings, 2026, pp. 137-152.
[11]
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.
[12]
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.
[13]
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.
[14]
M. Kartašev, J. Wagner and P. Ögren, "Using Control Barrier Functions for Constrained Reinforcement Learning in Backward Chained Behavior Trees," in 2025 IEEE 64th Conference on Decision and Control, CDC 2025, 2025, pp. 3127-3134.
[15]
O. Zaland et al., "Federated Learning for Large-Scale Cloud Robotic Manipulation : Opportunities and Challenges," in Proceedings of 2025 International Conference on Machine Learning and Cybernetics, ICMLC 2025, 2025, pp. 254-261.
[16]
A. N. Costa and P. Ögren, "Optimizing the Locations of Opposing Teams Using Adversarial Voronoi Regions," in 2025 European Control Conference, ECC 2025, Thessaloniki, Greece, June 24-27, 2025, 2025, pp. 1047-1054.
[17]
M. Vahs, S. Han and J. Tumova, "Finding Control Invariant Sets via Lipschitz Constants of Linear Programs," in 2025 European Control Conference (ECC), 2025, pp. 2114-2120.
[18]
Y. Duan, H. Yin and D. Kragic Jensfelt, "Real-time Iteration Scheme for Diffusion Policy," in IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings, 2025, pp. 11758-11764.
[19]
S. B. Betran et al., "FLAME: A Federated Learning Benchmark for Robotic Manipulation," in IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings, 2025, pp. 2494-2500.
[20]
L. Hadjiloizou et al., "Towards Safe Reinforcement Learning with Reduced Conservativeness: A Case Study on Drone Flight Control," in IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings, 2025, pp. 14870-14876.
[21]
A. Naoum et al., "Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration," in IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings, 2025, pp. 15087-15094.
[22]
P. Koczy, M. C. Welle and D. Kragic Jensfelt, "Learning Dexterous In-Hand Manipulation with Multifingered Hands via Visuomotor Diffusion," in IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings, 2025, pp. 121-127.
[23]
Y. Dong et al., "CageCoOpt: Enhancing Manipulation Robustness through Caging-Guided Morphology and Policy Co-Optimization," in IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings, 2025, pp. 21795-21802.
[24]
H. Ding et al., "Towards Safe Imitation Learning via Potential Field-Guided Flow Matching," in IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings, 2025, pp. 11693-11700.
[25]
G. Mårtensson et al., "Video Analysis of Infant Spontaneous Movements to Predict Neuroedevelopmental Deficiency," Acta Paediatrica, vol. 114, pp. 333-333, 2025.
[26]
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, pp. 1288-1293.
[27]
S. Fan et al., "Diffusion Trajectory-Guided Policy for Long-Horizon Robot Manipulation," IEEE Robotics and Automation Letters, vol. 10, no. 12, pp. 12788-12795, 2025.
[28]
K. Wijk, R. Vinuesa and H. Azizpour, "SFESS : Score Function Estimators for k-Subset Sampling," in The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, Apr 24-28, 2025, 2025.
[29]
R. Lanzino et al., "Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis," in Computer Vision-Eccv 2024 Workshops, Pt Xx, 2025, pp. 53-70.
[30]
I. Hakkinen et al., "Medical Image Segmentation with SAM-Generated Annotations," in Computer Vision-Eccv 2024 Workshops, Pt Xxii, 2025, pp. 51-62.
[31]
Y. Ma et al., "Measuring User Experience Through Speech Analysis : Insights from HCI Interviews," in Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI EA 2025, 2025.
[32]
S. Jin et al., "PACA : Perspective-Aware Cross-Attention Representation for Zero-shot Scene Rearrangement," in Proceedings IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025, 2025, pp. 6559-6569.
[33]
H. Azuma, Y. Matsui and A. Maki, "ZoDi : Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer," in Computer Vision-Eccv 2024 Workshops, Pt Xviii, 2025, pp. 151-167.
[34]
Y. Ma et al., "Advancing User-Voice Interaction : Exploring Emotion-Aware Voice Assistants Through a Role-Swapping Approach," in Distributed, Ambient And Pervasive Interactions, Dapi 2025, Pt I, 2025, pp. 303-320.
[35]
Y. Zhao, S. Gerard and Y. Ban, "TS-SatFire : A Multi-Task Satellite Image Time-Series Dataset for Wildfire Detection and Prediction," Scientific Data, vol. 12, no. 1, 2025.
[36]
O. Zaland et al., "One-Shot Federated Learning with Classifier-Free Diffusion Models," in 2025 IEEE International Conference on Multimedia and Expo: Journey to the Center of Machine Imagination, ICME 2025 - Conference Proceedings, 2025.
[37]
F. Ahmad, J. Styrud and V. Krueger, "Addressing Failures in Robotics Using Vision-Based Language Models (VLMs) and Behavior Trees (BT)," in EUROPEAN ROBOTICS FORUM 2025, 2025, pp. 281-287.
[38]
H. Fang and H. Azizpour, "Leveraging Satellite Image Time Series for Accurate Extreme Event Detection," in 2025 Ieee/Cvf Winter Conference On Applications Of Computer Vision Workshops, Wacvw, 2025, pp. 489-498.
[39]
C. Ceylan, "Towards Unsupervised, Analysable and Scalable Node Embedding Models for Transaction Networks," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:100, 2025.
[40]
F. Zangeneh, "Camera Relocalization through Distribution Modeling," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:106, 2025.
[41]
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.
[42]
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.
[43]
Q. Yang et al., "S2-Diffusion : Generalizing from Instance-level to Category-level Skills in Robot Manipulation," IEEE Robotics and Automation Letters, vol. 10, no. 12, pp. 12995-13002, 2025.
[44]
Q. Zhang et al., "HiMo: High-Speed Objects Motion Compensation in Point Clouds," IEEE Transactions on robotics, vol. 41, pp. 5896-5911, 2025.
[45]
S. Qamar et al., "ScaleFusionNet: transformer-guided multi-scale feature fusion for skin lesion segmentation," Scientific Reports, vol. 15, no. 1, 2025.
[46]
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.
[47]
M. Kartašev et al., "SMaRCSim : Maritime Robotics Simulation Modules," in 2025 Symposium on Maritime Informatics and Robotics, MARIS 2025, 2025.
[48]
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.
[49]
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.
[50]
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.
Full list in the KTH publications portal