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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]
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.
[2]
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.
[3]
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.
[4]
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.
[5]
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.
[6]
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.
[7]
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.
[8]
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.
[9]
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.
[10]
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.
[11]
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.
[12]
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.
[13]
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.
[14]
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.
[15]
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.
[16]
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.
[17]
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.
[18]
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.
[19]
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.
[20]
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.
[21]
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.
[22]
S. Zhou et al., "SmartTBD : Smart Tracking for Resource-constrained Object Detection," ACM Transactions on Embedded Computing Systems, vol. 24, no. 2, 2025.
[23]
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.
[24]
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.
[25]
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.
[26]
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.
[27]
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.
[28]
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.
[29]
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.
[30]
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.
[31]
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.
[32]
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.
[33]
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.
[34]
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.
[35]
H. Fang, L. Xie and D. V. Dimarogonas, "Simultaneous distributed localization and formation tracking control via matrix-weighted position constraints," Automatica, vol. 175, 2025.
[36]
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.
[37]
J. M. Gaspar Sánchez et al., "Transitional Grid Maps : Joint Modeling of Static and Dynamic Occupancy," IEEE Open Journal of Intelligent Transportation Systems, vol. 6, pp. 1-10, 2025.
[38]
D. Rohr et al., "Unified Guidance and Jerk-Level Dynamic Inversion for Accurate Position Control of Hybrid UAVs," IEEE Transactions on robotics, vol. 41, pp. 708-728, 2025.
[39]
C. Li et al., "Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images," in Computer Vision – ACCV 2024 - 17th Asian Conference on Computer Vision, Proceedings, 2025, pp. 268-288.
[40]
L. Guastoni et al., "Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers," Theoretical and Computational Fluid Dynamics, vol. 39, no. 1, 2025.
[41]
A. Mehrpanah, E. Englesson and H. Azizpour, "On Spectral Properties of Gradient-Based Explanation Methods," in Computer Vision – ECCV 2024 - 18th European Conference, Proceedings, 2025, pp. 282-299.
[42]
A. Longhini, "Adapting to Variations in Textile Properties for Robotic Manipulation," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:1, 2025.
[43]
Q. Zhang et al., "SeFlow : A Self-supervised Scene Flow Method in Autonomous Driving," in COMPUTER VISION-ECCV 2024, PT I, 2025, pp. 353-369.
[44]
C. Li, "Capturing the Shape and Pose of Horses in 3D," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:3, 2025.
[45]
F. Cumlin, X. Liang and S. Chatterjee, "Generalization Ability of End-to-End Non-Intrusive Speech Quality Models," in 2024 IEEE 21st India Council International Conference, INDICON 2024, 2024.
[46]
Z. Weng et al., "CAPGrasp: An R3×SO(2)-Equivariant Continuous Approach-Constrained Generative Grasp Sampler," IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3641-3647, 2024.
[47]
M. Vahs and J. Tumova, "Non-smooth Control Barrier Functions for Stochastic Dynamical Systems," in 2024 EUROPEAN CONTROL CONFERENCE, ECC 2024, 2024, pp. 2200-2205.
[48]
Y. Huang et al., "Registering Neural 4D Gaussians for Endoscopic Surgery," in 2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024, Bangkok, Thailand, December 10-14, 2024, 2024, pp. 1996-2001.
[49]
F. Taleb et al., "Can Transformers Smell Like Humans?," in Advances in Neural Information Processing Systems 37 - 38th Conference on Neural Information Processing Systems, NeurIPS 2024, 2024.
[50]
Z. Zhuang et al., "Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation," in Proceedings of Machine Learning Research, 2024, pp. 4314-4331.
Full list in the KTH publications portal