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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. 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.
[2]
C. R. Sidrane and J. Tumova, "TTT : A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems," ACC, 2025.
[3]
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.
[4]
L. Zhang, S. Han and S. Grammatico, "Automated Lane Merging via Game Theory and Branch Model Predictive Control," IEEE Transactions on Control Systems Technology, vol. 33, no. 4, pp. 1258-1269, 2025.
[5]
C. Ceylan, K. Ghoorchian and D. Kragic Jensfelt, "Full-Rank Unsupervised Node Embeddings for Directed Graphs via Message Aggregation," Transactions on Machine Learning Research, vol. 2025-June, 2025.
[6]
S. Hafner et al., "Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration," IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-18, 2025.
[7]
C. I. Vasile et al., "Optimal On-the-fly Route Planning with Rich Transportation Requests," IEEE Transactions on robotics, vol. 41, pp. 4041-4056, 2025.
[8]
A. N. Costa et al., "Simulation and Machine Learning in Beyond Visual Range Air Combat : A Survey," IEEE Access, vol. 13, pp. 76755-76774, 2025.
[9]
M. Tarle et al., "Offline to Online Reinforcement Learning for Optimizing FACTS Setpoints," Sustainable Energy, Grids and Networks, 2025.
[10]
M. Tarle et al., "Safe Reinforcement Learning to Improve FACTS Setpoint Control in Presence of Model Errors," IEEE transactions on industry applications, 2025.
[11]
F. L. Busch et al., "One Map to Find Them All : Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation," in 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025.
[12]
C. Ceylan, K. Ghoorchian and D. Kragic, "Full-Rank Unsupervised Node Embeddings for Directed Graphs via Message Aggregation," Transactions on Machine Learning Research, vol. 5, 2025.
[13]
Y. Xie et al., "NeuRSS : Enhancing AUV Localization and Bathymetric Mapping With Neural Rendering for Sidescan SLAM," IEEE Journal of Oceanic Engineering, pp. 1-10, 2025.
[14]
Y. Zhang et al., "LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot Teleoperation," in Social Computing and Social Media - 17th International Conference, SCSM 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings, 2025, pp. 97-112.
[15]
F. Taleb et al., "Towards Discovering the Hierarchy of the Olfactory Perceptual Space via Hyperbolic Embeddings," in 22nd annual Computational and Systems Neuroscience (COSYNE) conference, Montreal and Mont Tremblant, Quebec, Canada, March 27 - April 1, 2025., 2025.
[16]
S. Gillet et al., "Templates and Graph Neural Networks for Social Robots Interacting in Small Groups of Varying Sizes," in HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 458-467.
[17]
P. Khanna, "Adapting Robotic Explanations for Robotic Failures in Human Robot Collaboration," in HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 1863-1865.
[18]
P. Khanna et al., "REFLEX Dataset : A Multimodal Dataset of Human Reactions to Robot Failures and Explanations," in HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 1032-1036.
[19]
P. Tuttösí et al., "Take a Look, it's in a Book, a Reading Robot," in HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 1803-1805.
[20]
S. Türkay et al., "Virtual, Augmented, and Mixed Reality for Human-Robot Interaction Workshop (VAM-HRI)," in HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 1985-1987.
[21]
R. Stower et al., "Take a Chance on Me: How Robot Performance and Risk Behaviour Affects Trust and Risk-Taking," in HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 391-399.
[22]
S. Shirol et al., "Designing Social Behaviours for Autonomous Mobile Robots: The Role of Movement and Light in Communicating Intent," in HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 1638-1643.
[23]
M. M. Reimann et al., "What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations," in HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 708-716.
[24]
A. Longhini et al., "Unfolding the Literature: A Review of Robotic Cloth Manipulation," Annual Review of Control, Robotics, and Autonomous Systems, vol. 8, no. 1, pp. 295-322, 2025.
[25]
J. H. Sigurdsson et al., "Deep-Learning-Based Iodine Map Prediction with Photon-Counting CT Images," in Medical Imaging 2025: Physics of Medical Imaging, 2025.
[26]
M. Romeo et al., "The Effect of Voice and Repair Strategy on Trust Formation and Repair in Human-Robot Interaction," ACM Transactions on Human-Robot Interaction, vol. 14, no. 2, 2025.
[27]
D. Marta, "Towards safe, aligned, and efficient reinforcement learning from human feedback," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:49, 2025.
[28]
S. Ennadir et al., "Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review," Transactions on Machine Learning Research, vol. 2025-April, 2025.
[29]
A. P. P. Aung et al., "Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models," IEEE Transactions on Image Processing, vol. 34, pp. 2463-2472, 2025.
[30]
Z. Weng, "Approach-constrained Grasp Synthesis and Interactive Perception for Rigid and Deformable Objects," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:63, 2025.
[31]
S. B. C. Gutha, R. Vinuesa and H. Azizpour, "Inverse Problems with Diffusion Models: A MAP Estimation Perspective," in Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025, 2025, pp. 4153-4162.
[32]
M. K. Wozniak et al., "S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving," in Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025, 2025, pp. 1660-1670.
[33]
J. Zhang et al., "A Dense Subframe-Based SLAM Framework With Side-Scan Sonar," IEEE Journal of Oceanic Engineering, vol. 50, no. 2, pp. 1087-1102, 2025.
[34]
L. Ericson, "Exploration and Prediction : Beyond-the-Frontier Autonomous Exploration in Indoor Environments," Doctoral thesis Stocholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:47, 2025.
[35]
X. Zhu et al., "Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data," Journal of Intelligent Manufacturing, vol. 36, no. 4, pp. 2567-2582, 2025.
[36]
S. Zhou et al., "SmartTBD : Smart Tracking for Resource-constrained Object Detection," ACM Transactions on Embedded Computing Systems, vol. 24, no. 2, 2025.
[37]
Y. Mohamed et al., "Context Matters: Understanding Socially Appropriate Affective Responses Via Sentence Embeddings," in Social Robotics - 16th International Conference, ICSR + AI 2024, Proceedings, 2025, pp. 78-91.
[38]
P. Perugini et al., "Pushing Everything Everywhere All at Once : Probabilistic Prehensile Pushing," IEEE Robotics and Automation Letters, vol. 10, no. 5, pp. 4540-4547, 2025.
[39]
T. Nyberg, "Mind the Unknown : Risk- and Occlusion-Aware Motion Planning for Autonomous Vehicles," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025-42, 2025.
[40]
Y. Zhang et al., "Mind Meets Robots : A Review of EEG-Based Brain-Robot Interaction Systems," International Journal of Human-Computer Interaction, pp. 1-32, 2025.
[41]
J. Bengtson et al., "Adjustable Visual Appearance for Generalizable Novel View Synthesis," in Pattern Recognition and Artificial Intelligence - 4th International Conference, ICPRAI 2024, Proceedings, 2025, pp. 157-171.
[42]
M. González-Duque et al., "Riemann2: Learning Riemannian Submanifolds from Riemannian Data," in Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
[43]
S. Holk, "Improving Sample-efficiency of Reinforcement Learning from Human Feedback," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:31, 2025.
[44]
D. Marta et al., "FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions," in IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, 19-23 May 2025, 2025.
[45]
P. Khanna et al., "REFLEX Dataset : A Multimodal Dataset of Human Reactions to Robot Failures and Explanations," in Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp. 1032-1036.
[46]
E. Scukins, "Data-Driven Methods for Enhanced Situation Awareness in Beyond Visual Range Air Combat," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:27, 2025.
[47]
P. Khanna, "Adaptive Handovers for Enhanced Human-Robot Collaboration : A Human-Inspired Approach," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:29, 2025.
[48]
H. Akay et al., "Language Models for Functional Digital Twin of Circular Manufacturing," in Sustainable Manufacturing as a Driver for Growth - Proceedings of the 19th Global Conference on Sustainable Manufacturing, 2025, pp. 553-561.
[49]
H. Fang, L. Xie and D. V. Dimarogonas, "Simultaneous distributed localization and formation tracking control via matrix-weighted position constraints," Automatica, vol. 175, 2025.
[50]
A. García-Castellanos et al., "HyperSteiner : Computing Heuristic Hyperbolic Steiner Minimal Trees," in SIAM Symposium on Algorithm Engineering and Experiments, ALENEX 2025, 2025, pp. 194-208.
Full list in the KTH publications portal