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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]
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.
[2]
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.
[3]
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.
[4]
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.
[5]
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.
[6]
L. Ericson och P. Jensfelt, "Beyond the Frontier : Predicting Unseen Walls From Occupancy Grids by Learning From Floor Plans," IEEE Robotics and Automation Letters, vol. 9, no. 8, s. 6832-6839, 2024.
[8]
C. Costen et al., "Multi-Robot Allocation of Assistance from a Shared Uncertain Operator," i AAMAS 2024 - Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024, s. 400-408.
[9]
J. Read et al., "Children and Emerging Technologies: Ethical and Practical Research and Design," i CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems, 2024.
[10]
C. Li et al., "The Poses for Equine Research Dataset (PFERD)," Scientific Data, vol. 11, no. 1, 2024.
[11]
E. Englesson, "On Label Noise in Image Classification : An Aleatoric Uncertainty Perspective," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:45, 2024.
[12]
E. Englesson och H. Azizpour, "Robust Classification via Regression for Learning with Noisy Labels," i Proceedings ICLR 2024 - The Twelfth International Conference on Learning Representations, 2024.
[13]
Y. Xie, "Bathymetric Surveying Through Neural Inverse Sonar Modeling," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:38, 2024.
[14]
M. Kartasev och P. Ögren, "Improving the Performance of Learned Controllers in Behavior Trees Using Value Function Estimates at Switching Boundaries," IEEE Robotics and Automation Letters, vol. 9, no. 5, s. 4647-4654, 2024.
[15]
M. Krale et al., "Robust Active Measuring under Model Uncertainty," i 38th AAAI Conference on Artificial Intelligence, AAAI 2024, Vancouver, Canada, Feb 20 2024 - Feb 27 2024, 2024, s. 21276-21284.
[16]
S. Gillet et al., "Interaction-Shaping Robotics : Robots That Influence Interactions between Other Agents," ACM Transactions on Human-Robot Interaction, vol. 13, no. 1, 2024.
[17]
S. Holk, D. Marta och I. Leite, "PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning," i HRI 2024 - Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, s. 259-268.
[18]
N. Rahimzadagan et al., "Drone Fail Me Now: How Drone Failures Afect Trust and Risk-Taking Decisions," i HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, s. 862-866.
[19]
M. K. Wozniak et al., "Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI)," i HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, s. 1361-1363.
[20]
M. K. Wozniak, "Enhancing Robot Perception with Real-World HRI," i HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, s. 160-162.
[21]
E. Yadollahi et al., "Explainability for Human-Robot Collaboration," i HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, s. 1364-1366.
[23]
G. L. Marchetti, "On Symmetries and Metrics in Geometric Inference," Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:26, 2024.
[24]
S. Zojaji et al., "Join Me Here if You Will : Investigating Embodiment and Politeness Behaviors When Joining Small Groups of Humans, Robots, and Virtual Characters," i CHI Conference on Human Factors in Computing Systems (CHI ’24), Oʻahu, Hawaii, USA, 11-16 May 2024, 2024.
[25]
W. Yin, "Developing Data-Driven Models for Understanding Human Motion," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:9, 2024.
[26]
W. Yin et al., "Scalable Motion Style Transfer with Constrained Diffusion Generation," i Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024.
[27]
R. Yadav et al., "Unsupervised flood detection on SAR time series using variational autoencoder," International Journal of Applied Earth Observation and Geoinformation, vol. 126, 2024.
[28]
R. Gieselmann, "Synergies between Policy Learning and Sampling-based Planning," Doktorsavhandling Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:6, 2024.
[29]
K. Kaya et al., "Programmable Matter with Free and High-Resolution Transfiguration and Locomotion," Advanced Functional Materials, vol. 34, no. 14, 2024.
[30]
Y. Deng et al., "An experimental study on the effect of chemical additives in coolant on steam explosion," International Journal of Heat and Mass Transfer, vol. 218, 2024.
[31]
I. Torre et al., "Smiling in the Face and Voice of Avatars and Robots : Evidence for a ‘smiling McGurk Effect’," IEEE Transactions on Affective Computing, vol. 15, no. 2, s. 393-404, 2024.
[32]
I. Torre et al., "The irrepressible influence of vocal stereotypes on trust," Quarterly Journal of Experimental Psychology, 2023.
[33]
M. C. Welle et al., "Enabling Robot Manipulation of Soft and Rigid Objects with Vision-based Tactile Sensors," i 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023, 2023.
[34]
A. Larsson Forsberg et al., "Network Parameter Control in Cellular Networks through Graph-Based Multi-Agent Constrained Reinforcement Learning," i 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023, 2023.
[35]
R. Gieselmann och F. T. Pokorny, "Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning," i Proceedings of the 7th Conference on Robot Learning, CoRL 2023, 2023.
[36]
A. Linard et al., "Real-Time RRT* with Signal Temporal Logic Preferences," i 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, s. 8621-8627.
[37]
Y. Mohamed et al., "Multi-modal Affect Detection Using Thermal and Optical Imaging in a Gamified Robotic Exercise," International Journal of Social Robotics, 2023.
[38]
M. Iovino et al., "A Framework for Learning Behavior Trees in Collaborative Robotic Applications," i 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023, 2023.
[39]
M. Gamba, H. Azizpour och M. Björkman, "On the Lipschitz Constant of Deep Networks and Double Descent," i Proceedings 34th British Machine Vision Conference 2023, 2023.
[40]
I. Mitsioni et al., "Safe Data-Driven Model Predictive Control of Systems with Complex Dynamics," IEEE Transactions on robotics, vol. 39, no. 4, s. 3242-3258, 2023.
[41]
R. Newbury et al., "Deep Learning Approaches to Grasp Synthesis: A Review," IEEE Transactions on robotics, vol. 39, no. 5, s. 3994-4015, 2023.
[42]
C. Pek et al., "SpaTiaL : monitoring and planning of robotic tasks using spatio-temporal logic specifications," Autonomous Robots, vol. 47, no. 8, s. 1439-1462, 2023.
[43]
M. Gamba et al., "Deep Double Descent via Smooth Interpolation," Transactions on Machine Learning Research, vol. 4, 2023.
[44]
E. Englesson, A. Mehrpanah och H. Azizpour, "Logistic-Normal Likelihoods for Heteroscedastic Label Noise," Transactions on Machine Learning Research, vol. 8, 2023.
[45]
M. Gamba et al., "Deep Double Descent via Smooth Interpolation," Transactions on Machine Learning Research, vol. 4, 2023.
[46]
M. B. Colomer et al., "To Adapt or Not to Adapt? : Real-Time Adaptation for Semantic Segmentation," i 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), 2023, s. 16502-16513.
[47]
S. Gerard, Y. Zhao och J. Sullivan, "WildfireSpreadTS: A dataset of multi-modal time series for wildfire spread prediction," i Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023.
[48]
M. Moletta et al., "A Virtual Reality Framework for Human-Robot Collaboration in Cloth Folding," i 2023 IEEE-RAS 22nd International Conference on Humanoid Robots, 2023.
[49]
Z. Weng et al., "GoNet : An Approach-Constrained Generative Grasp Sampling Network," i 2023 IEEE-RAS 22nd International Conference on Humanoid Robots, 2023.
[50]
Y. Ma et al., "Emotion-Aware Voice Assistants: Design, Implementation, and Preliminary Insights," i Proceedings of the 11th International Symposium of Chinese CHI: Generative, Reflective, Envisioning, Chinese CHI 2023, 2023, s. 527-532.
Fullständig lista i KTH:s publikationsportal