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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]
C. R. Sidrane och J. Tumova, "TTT : A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems," i Proceedings of the 2025 American Control Conference (ACC), 2025.
[2]
A. Kiessling et al., "Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path Planning," i 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025.
[3]
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, 2025.
[4]
L. Zhang, S. Han och S. Grammatico, "Automated Lane Merging via Game Theory and Branch Model Predictive Control," IEEE Transactions on Control Systems Technology, vol. 33, no. 4, s. 1258-1269, 2025.
[5]
C. Ceylan, K. Ghoorchian och 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, s. 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, s. 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, s. 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," i 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025.
[12]
C. Ceylan, K. Ghoorchian och 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, s. 1-10, 2025.
[14]
Y. Zhang et al., "LLM-Driven Augmented Reality Puppeteer: Controller-Free Voice-Commanded Robot Teleoperation," i Social Computing and Social Media - 17th International Conference, SCSM 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings, 2025, s. 97-112.
[15]
F. Taleb et al., "Towards Discovering the Hierarchy of the Olfactory Perceptual Space via Hyperbolic Embeddings," i 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," i HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, s. 458-467.
[17]
P. Khanna, "Adapting Robotic Explanations for Robotic Failures in Human Robot Collaboration," i HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, s. 1863-1865.
[18]
P. Khanna et al., "REFLEX Dataset : A Multimodal Dataset of Human Reactions to Robot Failures and Explanations," i HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, s. 1032-1036.
[19]
P. Tuttösí et al., "Take a Look, it's in a Book, a Reading Robot," i HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, s. 1803-1805.
[20]
S. Türkay et al., "Virtual, Augmented, and Mixed Reality for Human-Robot Interaction Workshop (VAM-HRI)," i HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, s. 1985-1987.
[21]
R. Stower et al., "Take a Chance on Me: How Robot Performance and Risk Behaviour Affects Trust and Risk-Taking," i HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, s. 391-399.
[22]
S. Shirol et al., "Designing Social Behaviours for Autonomous Mobile Robots: The Role of Movement and Light in Communicating Intent," i HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, s. 1638-1643.
[23]
M. M. Reimann et al., "What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations," i HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, s. 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, s. 295-322, 2025.
[25]
J. H. Sigurdsson et al., "Deep-Learning-Based Iodine Map Prediction with Photon-Counting CT Images," i 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," Doktorsavhandling 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, s. 2463-2472, 2025.
[30]
Z. Weng, "Approach-constrained Grasp Synthesis and Interactive Perception for Rigid and Deformable Objects," Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:63, 2025.
[31]
S. B. C. Gutha, R. Vinuesa och H. Azizpour, "Inverse Problems with Diffusion Models: A MAP Estimation Perspective," i Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025, 2025, s. 4153-4162.
[32]
M. K. Wozniak et al., "S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving," i Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025, 2025, s. 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, s. 1087-1102, 2025.
[34]
L. Ericson, "Exploration and Prediction : Beyond-the-Frontier Autonomous Exploration in Indoor Environments," Doktorsavhandling 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, s. 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," i Social Robotics - 16th International Conference, ICSR + AI 2024, Proceedings, 2025, s. 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, s. 4540-4547, 2025.
[39]
T. Nyberg, "Mind the Unknown : Risk- and Occlusion-Aware Motion Planning for Autonomous Vehicles," Doktorsavhandling : 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, s. 1-32, 2025.
[41]
J. Bengtson et al., "Adjustable Visual Appearance for Generalizable Novel View Synthesis," i Pattern Recognition and Artificial Intelligence - 4th International Conference, ICPRAI 2024, Proceedings, 2025, s. 157-171.
[42]
M. González-Duque et al., "Riemann2: Learning Riemannian Submanifolds from Riemannian Data," i 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," Doktorsavhandling 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," i 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," i Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, s. 1032-1036.
[46]
E. Scukins, "Data-Driven Methods for Enhanced Situation Awareness in Beyond Visual Range Air Combat," Doktorsavhandling : 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," Doktorsavhandling 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," i Sustainable Manufacturing as a Driver for Growth - Proceedings of the 19th Global Conference on Sustainable Manufacturing, 2025, s. 553-561.
[49]
H. Fang, L. Xie och 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," i SIAM Symposium on Algorithm Engineering and Experiments, ALENEX 2025, 2025, s. 194-208.
Fullständig lista i KTH:s publikationsportal