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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]
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.
[2]
A. Longhini, "Adapting to Variations in Textile Properties for Robotic Manipulation," Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:1, 2025.
[3]
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.
[4]
C. Li, "Capturing the Shape and Pose of Horses in 3D," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:3, 2025.
[5]
A. Nilsson och H. Azizpour, "Regularizing and Interpreting Vision Transformers by Patch Selection on Echocardiography Data," i CONFERENCE ON HEALTH, INFERENCE, AND LEARNING, 2024, s. 155-168.
[6]
C. Ceylan, K. Ghoorchian och D. Kragic, "Scalable Unsupervised Feature Selection with Reconstruction Error Guarantees via QMR Decomposition," i CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024, s. 3658-3662.
[7]
A. Longhini et al., "Cloth-Splatting : 3D Cloth State Estimation from RGB Supervision," i 8th Annual Conference on Robot Learning, November 6-9, 2024, Munich, Germany, 2024.
[8]
M. Rahimi et al., "Optimizing Methane Uptake on N/O Functionalized Graphene via DFT, Machine Learning, and Uniform Manifold Approximation and Projection (UMAP) Techniques," Industrial & Engineering Chemistry Research, vol. 63, no. 44, s. 18940-18956, 2024.
[9]
M. Krale et al., "Robust Active Measuring under Model Uncertainty," i THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 19, 2024, s. 21276-21284.
[10]
Y. Ma et al., "HAID : Human-AI Interaction for Dementia Care," i Live Uniting HCI for a Hyperlocal and Global Experience: Adjunct Proceedings of the 13th Nordic Conference on Human-Computer Interaction, NordiCHI 2024, 2024.
[11]
A. A. Medbouhi et al., "Hyperbolic Delaunay Geometric Alignment," i Machine learning and knowledge discovery in databases : Research track, pt iii, ECML PKDD 2024, 2024, s. 111-126.
[12]
M. Gamba, "On Implicit Smoothness Regularization in Deep Learning," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:80, 2024.
[13]
P. Khanna et al., "Hand it to me formally! Data-driven control for human-robot handovers with signal temporal logic," IEEE Robotics and Automation Letters, vol. 9, no. 10, s. 9039-9046, 2024.
[14]
A. Longhini et al., "AdaFold : Adapting Folding Trajectories of Cloths via Feedback-Loop Manipulation," IEEE Robotics and Automation Letters, vol. 9, no. 11, s. 9183-9190, 2024.
[15]
J. Verhagen, L. Lindemann och J. Tumova, "Temporally Robust Multi-Agent STL Motion Planning in Continuous Time," i 2024 American Control Conference, ACC 2024, 2024, s. 251-258.
[16]
A. Nilsson och H. Azizpour, "Regularizing and Interpreting Vision Transformers by Patch Selection on Echocardiography Data," i Proceedings of the 5th Conference on Health, Inference, and Learning, CHIL 2024, 2024, s. 155-168.
[17]
A. Nilsson et al., "Indirectly Parameterized Concrete Autoencoders," i International Conference on Machine Learning, ICML 2024, 2024, s. 38237-38252.
[18]
M. Zahid och F. T. Pokorny, "CloudGripper: An Open Source Cloud Robotics Testbed for Robotic Manipulation Research, Benchmarking and Data Collection at Scale," i 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 2024, s. 12076-12082.
[19]
P. So et al., "CITR: A Coordinate-Invariant Task Representation for Robotic Manipulation," i 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 2024, s. 17501-17507.
[20]
C. Sprague, V. De La Asunción-Nadal och A. García-Fernández, "Implementing AI in Advanced Recycling of Perovskite Solar Cells," i 2024 9th International Conference on Smart and Sustainable Technologies, SpliTech 2024, 2024.
[21]
A. Linard et al., "Robust MITL planning under uncertain navigation times," i 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 2024, s. 2498-2504.
[22]
L. Ling et al., "Benchmarking classical and learning-based multibeam point cloud registration," i 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 2024, s. 6118-6125.
[23]
M. Lippi et al., "Ensemble latent space roadmap for improved robustness in visual action planning," i 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 2024, s. 2638-2644.
[24]
F. L. Busch et al., "Predicting against the Flow: Boosting Source Localization by Means of Field Belief Modeling using Upstream Source Proximity," i 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 2024, s. 6254-6259.
[25]
E. Cuniato et al., "Learning to Fly Omnidirectional Micro Aerial Vehicles with an End-to-End Control Network," i Experimental Robotics - The 18th International Symposium, 2024, s. 375-383.
[26]
P. Hammer et al., "Non-Axiomatic Reasoning for an Autonomous Mobile Robot," i 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 2024, s. 17079-17085.
[27]
T. Nyberg, J. van Haastregt och J. Tumova, "Highway-Driving with Safe Velocity Bounds on Occluded Traffic," i 2024 IEEE International Conference on Robotics and Automation, ICRA 2024, 2024, s. 6828-6835.
[28]
T. Gao et al., "PRIME : Scaffolding Manipulation Tasks With Behavior Primitives for Data-Efficient Imitation Learning," IEEE Robotics and Automation Letters, vol. 9, no. 10, s. 8322-8329, 2024.
[29]
Y. Xie et al., "Bathymetric Surveying With Imaging Sonar Using Neural Volume Rendering," IEEE Robotics and Automation Letters, vol. 9, no. 9, s. 8146-8153, 2024.
[30]
E. Scukins, A. N. Costa och P. Ögren, "A Data-driven Method for Estimating Formation Flexibility in Beyond-Visual-Range Air Combat," i 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024, s. 241-247.
[31]
A. Wahlin et al., "Swirls and scoops : Ice base melt revealed by multibeam imagery of an Antarctic ice shelf," Science Advances, vol. 10, no. 31, 2024.
[32]
S. Qamar et al., "Segmentation and characterization of macerated fibers and vessels using deep learning," Plant Methods, vol. 20, no. 1, 2024.
[33]
H. Erel et al., "RoSI : A Model for Predicting Robot Social Influence," ACM Transactions on Human-Robot Interaction, vol. 13, no. 2, 2024.
[34]
Z. Weng et al., "Interactive Perception for Deformable Object Manipulation," IEEE Robotics and Automation Letters, vol. 9, no. 9, s. 7763-7770, 2024.
[35]
J. Akander et al., "Development of an AI Model Utilizing Buildings' Thermal Mass to Optimize Heating Energy and Indoor Temperature in a Historical Building Located in a Cold Climate," Buildings, vol. 14, no. 7, 2024.
[36]
A. H. Akhavan Rahnama, J. Butepage och H. Boström, "Local List-Wise Explanations of LambdaMART," i Explainable Artificial Intelligence - Second World Conference, xAI 2024, Proceedings, 2024, s. 369-392.
[37]
B. Cook och P. Hammer, "Autonomous Intelligent Reinforcement Inferred Symbolism," i Artificial General Intelligence - 17th International Conference, AGI 2024, Proceedings, 2024, s. 53-62.
[38]
A. Khoche et al., "Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets," i 2024 European Control Conference, ECC 2024, 2024, s. 1032-1038.
[39]
Y. Yang et al., "Human-Centric Autonomous Systems With LLMs for User Command Reasoning," i 2024 Ieee Winter Conference On Applications Of Computer Vision Workshops, Wacvw 2024, 2024, s. 988-994.
[40]
Y. Yang et al., "Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models," i 35th IEEE Intelligent Vehicles Symposium, IV 2024, 2024, s. 2405-2412.
[41]
A. Khoche et al., "Towards Long-Range 3D Object Detection for Autonomous Vehicles," i 35th IEEE Intelligent Vehicles Symposium, IV 2024, 2024, s. 2206-2212.
[42]
Y. Dong, X. Cheng och F. T. Pokorny, "Characterizing Manipulation Robustness Through Energy Margin and Caging Analysis," IEEE Robotics and Automation Letters, vol. 9, no. 9, s. 7525-7532, 2024.
[43]
P. Patrick et al., "COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry," i 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024.
[44]
Y. Ma et al., "Understanding Dementia Speech : Towards an Adaptive Voice Assistant for Enhanced Communication," i EICS 2024 Companion - Companion of the 2024 ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2024, s. 15-21.
[45]
S. Gillet, "Computational Approaches to Interaction-Shaping Robotics," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:60, 2024.
[46]
E. Yadollahi et al., "ExTra CTI : Explainable and Transparent Child-Technology Interaction," i Proceedings of ACM Interaction Design and Children Conference: Inclusive Happiness, IDC 2024, 2024, s. 1016-1019.
[47]
E. Scukins et al., "Deep Learning Based Situation Awareness for Multiple Missiles Evasion," i 2024 International Conference on Unmanned Aircraft Systems, ICUAS 2024, 2024, s. 1446-1452.
[48]
Y. Zhang et al., "Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics," i Human-Computer Interaction - Thematic Area, HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings, 2024, s. 240-255.
[49]
J. Zhang et al., "A fully-automatic side-scan sonar simultaneous localization and mapping framework," IET radar, sonar & navigation, vol. 18, no. 5, s. 674-683, 2024.
[50]
S. Gillet et al., "Shielding for socially appropriate robot listening behaviors," i 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2024.
Fullständig lista i KTH:s publikationsportal