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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]
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.
[2]
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.
[3]
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.
[4]
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.
[5]
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.
[6]
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.
[7]
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.
[8]
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.
[9]
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.
[10]
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.
[11]
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.
[12]
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.
[13]
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.
[14]
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.
[15]
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.
[16]
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.
[17]
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.
[18]
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.
[19]
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.
[20]
S. Zhou et al., "SmartTBD : Smart Tracking for Resource-constrained Object Detection," ACM Transactions on Embedded Computing Systems, vol. 24, no. 2, 2025.
[21]
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.
[22]
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.
[23]
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.
[24]
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.
[25]
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.
[26]
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.
[27]
S. Holk, "Improving Sample-efficiency of Reinforcement Learning from Human Feedback," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:31, 2025.
[28]
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.
[29]
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.
[30]
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.
[31]
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.
[32]
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.
[33]
H. Fang, L. Xie och D. V. Dimarogonas, "Simultaneous distributed localization and formation tracking control via matrix-weighted position constraints," Automatica, vol. 175, 2025.
[34]
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.
[35]
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, s. 1-10, 2025.
[36]
D. Rohr et al., "Unified Guidance and Jerk-Level Dynamic Inversion for Accurate Position Control of Hybrid UAVs," IEEE Transactions on robotics, vol. 41, s. 708-728, 2025.
[37]
C. Li et al., "Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images," i Computer Vision – ACCV 2024 - 17th Asian Conference on Computer Vision, Proceedings, 2025, s. 268-288.
[38]
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.
[39]
A. Mehrpanah, E. Englesson och H. Azizpour, "On Spectral Properties of Gradient-Based Explanation Methods," i Computer Vision – ECCV 2024 - 18th European Conference, Proceedings, 2025, s. 282-299.
[40]
A. Longhini, "Adapting to Variations in Textile Properties for Robotic Manipulation," Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:1, 2025.
[41]
Q. Zhang et al., "SeFlow : A Self-supervised Scene Flow Method in Autonomous Driving," i COMPUTER VISION-ECCV 2024, PT I, 2025, s. 353-369.
[42]
C. Li, "Capturing the Shape and Pose of Horses in 3D," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:3, 2025.
[43]
F. Cumlin, X. Liang och S. Chatterjee, "Generalization Ability of End-to-End Non-Intrusive Speech Quality Models," i 2024 IEEE 21st India Council International Conference, INDICON 2024, 2024.
[44]
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, s. 3641-3647, 2024.
[45]
M. Vahs och J. Tumova, "Non-smooth Control Barrier Functions for Stochastic Dynamical Systems," i 2024 EUROPEAN CONTROL CONFERENCE, ECC 2024, 2024, s. 2200-2205.
[46]
Y. Huang et al., "Registering Neural 4D Gaussians for Endoscopic Surgery," i 2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024, Bangkok, Thailand, December 10-14, 2024, 2024, s. 1996-2001.
[47]
F. Taleb et al., "Can Transformers Smell Like Humans?," i Advances in Neural Information Processing Systems 37 - 38th Conference on Neural Information Processing Systems, NeurIPS 2024, 2024.
[48]
Z. Zhuang et al., "Enhancing Visual Domain Robustness in Behaviour Cloning via Saliency-Guided Augmentation," i Proceedings of Machine Learning Research, 2024, s. 4314-4331.
[49]
J. Verhagen, L. Lindemann och J. Tumova, "Robust STL Control Synthesis under Maximal Disturbance Sets," i 2024 IEEE 63rd Conference on Decision and Control, CDC 2024, 2024, s. 315-321.
[50]
L. Zhang et al., "An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors," i 2024 IEEE 63rd Conference on Decision and Control, CDC 2024, 2024, s. 8207-8212.
Fullständig lista i KTH:s publikationsportal