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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]
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.
[2]
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.
[3]
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.
[4]
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.
[5]
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.
[6]
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.
[7]
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), 2025.
[8]
S. Holk, "Improving Sample-efficiency of Reinforcement Learning from Human Feedback," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:31, 2025.
[9]
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.
[10]
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.
[11]
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.
[12]
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.
[13]
H. Fang, L. Xie och D. V. Dimarogonas, "Simultaneous distributed localization and formation tracking control via matrix-weighted position constraints," Automatica, vol. 175, 2025.
[14]
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.
[15]
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.
[16]
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.
[17]
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.
[18]
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.
[19]
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.
[20]
A. Longhini, "Adapting to Variations in Textile Properties for Robotic Manipulation," Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:1, 2025.
[21]
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.
[22]
C. Li, "Capturing the Shape and Pose of Horses in 3D," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:3, 2025.
[23]
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.
[24]
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.
[25]
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.
[26]
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.
[27]
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.
[28]
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.
[29]
M. Tarle et al., "Reinforcement Learning for FACTS Setpoint Control with Limited Information," i IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024, 2024.
[30]
A. Reichlin et al., "Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks," Transactions on Machine Learning Research, vol. 2024, 2024.
[31]
J. Styrud et al., "BeBOP - Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks," i 2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2024), 2024, s. 16459-16466.
[32]
M. Vahs och J. Tumova, "Risk-aware Control for Robots with Non-Gaussian Belief Spaces," i 2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2024), 2024, s. 11661-11667.
[33]
S. Holk, D. Marta och I. Leite, "Polite: Preferences combined with highlights in reinforcement learning," i 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024, s. 2288-2295.
[34]
D. Marta et al., "SEQUEL : Semi-Supervised Preference-based RL with Query Synthesis via Latent Interpolation," i 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024, s. 9585-9592.
[35]
A. H. Akhavan Rahnama, J. Bütepage och H. Boström, "Local Point-Wise Explanations of LambdaMART," i 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, 2024.
[36]
A. H. Akhavan Rahnama et al., "Can local explanation techniques explain linear additive models?," Data mining and knowledge discovery, vol. 38, no. 1, s. 237-280, 2024.
[37]
A. Civit et al., "Robots as Mediators to Resolve Multi-User Preference Conflicts - Extended Abstract," i Proceedings of ALTRUIST Workshop on SociAL RoboTs for PeRsonalized, ContinUous and AdaptIve ASsisTance, BAILAR Workshop on Behavior Adaptation and Learning for Assistive Robotics, SCRITA Workshop on Trust, Acceptance and Social Cues in Human-Robot Interaction, and WARN Workshop on Weighing the Benefits of Autonomous Robot PersoNalisation, ALTRUIST-BAILAR-SCRITA-WARN 2024 - co-located with Ro-MAN 2024, 2024.
[38]
Z. Weng et al., "DexDiffuser : Generating Dexterous Grasps With Diffusion Models," IEEE Robotics and Automation Letters, vol. 9, no. 12, s. 11834-11840, 2024.
[39]
K. Ikemura et al., "Robust Depth Enhancement via Polarization Prompt Fusion Tuning," i 2024 IEEE/CVF Conference On Computer Vision And Pattern Recognition (CVPR), 2024, s. 20710-20720.
[40]
Z. Zhuang, V. Kyrki och D. Kragic, "Raising Body Ownership in End-to-End Visuomotor Policy Learning via Robot-Centric Pooling," i 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, 2024, s. 7514-7520.
[41]
T. Wang et al., "Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study," i 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual, CustomNLP4U 2024 - Proceedings of the Workshop, 2024, s. 47-52.
[42]
S. Jin et al., "How Physics and Background Attributes Impact Video Transformers in Robotic Manipulation : A Case Study on Planar Pushing," i 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, 2024, s. 7391-7398.
[43]
F. Zangeneh et al., "Conditional Variational Autoencoders for Probabilistic Pose Regression," i 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, 2024, s. 2794-2800.
[44]
Y. Duan et al., "Energy-Optimized Planning in Non-Uniform Wind Fields with Fixed-Wing Aerial Vehicles," i 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, 2024, s. 3116-3122.
[45]
Y. Zhang et al., "Human-centered AI Technologies in Human-robot Interaction for Social Settings," i Proceedings of MUM 2024 the 23rd International Conference on Mobile and Ubiquitous Multimedia, 2024, s. 501-505.
[46]
T. Nyberg et al., "Share the Unseen : Sequential Reasoning About Occlusions Using Vehicle-to-Everything Technology," IEEE Transactions on Control Systems Technology, s. 1-14, 2024.
[47]
B. Wallace et al., "Imitation or Innovation? Translating Features of Expressive Motion from Humans to Robots," i HAI 2024 - Proceedings of the 12th International Conference on Human-Agent Interaction, 2024, s. 296-304.
[48]
F. Taleb et al., "Challenging Deep Learning Methods for EEG Signal Denoising under Data Corruption," i 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings, 2024.
[49]
S. Gillet et al., "Shielding for Socially Appropriate Robot Listening Behaviors," i 2024 33RD IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, ROMAN 2024, 2024, s. 2279-2286.
[50]
N. Ingelhag et al., "A Robotic Skill Learning System Built Upon Diffusion Policies and Foundation Models," i 2024 33RD IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, ROMAN 2024, 2024, s. 748-754.
Fullständig lista i KTH:s publikationsportal