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.,
"Interaction-Shaping Robotics: Robots That Influence Interactions between Other Agents,"
ACM Transactions on Human-Robot Interaction, vol. 13, no. 1, 2024.
[2]
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.
[3]
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.
[4]
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.
[5]
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.
[6]
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.
[7]
H. Xia et al.,
"Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement,"
Nature Communications, vol. 15, no. 1, 2024.
[8]
G. L. Marchetti,
"On Symmetries and Metrics in Geometric Inference,"
Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:26, 2024.
[9]
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, Hawaiʻi, USA, 11-16 May 2024, 2024.
[10]
W. Yin et al.,
"Scalable Motion Style Transfer with Constrained Diffusion Generation,"
i The 38th Annual AAAI Conference on Artificial Intelligence, February 20-27, 2024, Vancouver, Canada, 2024.
[11]
W. Yin,
"Developing Data-Driven Models for Understanding Human Motion,"
Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:9, 2024.
[12]
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.
[13]
R. Gieselmann,
"Synergies between Policy Learning and Sampling-based Planning,"
Doktorsavhandling Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:6, 2024.
[14]
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.
[15]
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.
[16]
Z. Weng et al.,
"GoNet : An Approach-Constrained Generative Grasp Sampling Network,"
i 2023 IEEE-RAS 22nd International Conference on Humanoid Robots, 2023.
[17]
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.
[18]
T. Rastogi och M. Björkman,
"Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequences,"
i 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 2023, s. 2282-2288.
[19]
Q. Zhang et al.,
"A Dynamic Points Removal Benchmark in Point Cloud Maps,"
i 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 2023, s. 608-614.
[20]
Y. Yang et al.,
"RMP : A Random Mask Pretrain Framework for Motion Prediction,"
i 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 2023, s. 3717-3723.
[21]
M. K. Wozniak et al.,
"Toward a Robust Sensor Fusion Step for 3D Object Detection on Corrupted Data,"
IEEE Robotics and Automation Letters, vol. 8, no. 11, s. 7018-7025, 2023.
[22]
T. Kucherenko et al.,
"The GENEA Challenge 2023 : A large-scale evaluation of gesture generation models in monadic and dyadic setings,"
i Proceedings Of The 25Th International Conference On Multimodal Interaction, Icmi 2023, 2023, s. 792-801.
[23]
X. Zhu et al.,
"Surface Defect Detection with Limited Training Data : A Case Study on Crown Wheel Surface Inspection,"
i 56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023, 2023, s. 1333-1338.
[24]
H. Chen et al.,
"Resilient Synchronization of Networked Lagrangian Systems in Adversarial Environments,"
i 2023 62nd IEEE Conference on Decision and Control, CDC 2023, 2023, s. 7539-7545.
[25]
J. Fu et al.,
"Component atention network for multimodal dance improvisation recognition,"
i PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ICMI 2023, 2023, s. 114-118.
[26]
S. Sabzevari et al.,
"PG-3DVTON : Pose-Guided 3D Virtual Try-on Network,"
i VISIGRAPP 2023 - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Volume 4, 2023, s. 819-829.
[27]
S. Van Waveren et al.,
"Generating Scenarios from High-Level Specifications for Object Rearrangement Tasks,"
i 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, s. 11420-11427.
[28]
D. Marta et al.,
"VARIQuery: VAE Segment-Based Active Learning for Query Selection in Preference-Based Reinforcement Learning,"
i 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, s. 7878-7885.
[29]
M. Kartasev, J. Salér och P. Ögren,
"Improving the Performance of Backward Chained Behavior Trees that use Reinforcement Learning,"
i 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, s. 1572-1579.
[30]
B. Orthmann et al.,
"Sounding Robots : Design and Evaluation of Auditory Displays for Unintentional Human-robot Interaction,"
ACM Transactions on Human-Robot Interaction, vol. 12, no. 4, 2023.
[31]
M. Romeo et al.,
"Putting Robots in Context : Challenging the Influence of Voice and Empathic Behaviour on Trust,"
i 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, s. 2045-2050.
[32]
I. Torre et al.,
"Can a gender-ambiguous voice reduce gender stereotypes in human-robot interactions?,"
i 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, s. 106-112.
[33]
N. Rajabi et al.,
"Detecting the Intention of Object Handover in Human-Robot Collaborations : An EEG Study,"
i 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, s. 549-555.
[34]
W. Yin et al.,
"Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models,"
i 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, s. 1102-1108.
[35]
B. J. Zhang et al.,
"Hearing it Out : Guiding Robot Sound Design through Design Thinking,"
i 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, s. 2064-2071.
[36]
M. K. Wozniak et al.,
"Happily Error After : Framework Development and User Study for Correcting Robot Perception Errors in Virtual Reality,"
i 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, s. 1573-1580.
[37]
G. I. Melsión et al.,
"What's at Stake? : Robot explanations matter for high but not low-stake scenarios,"
i 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, s. 2421-2426.
[38]
P. Khanna, M. Björkman och C. Smith,
"A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers,"
i 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, s. 1843-1850.
[39]
P. Khanna et al.,
"Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration,"
i 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, s. 1829-1836.
[40]
A. Galatolo, I. Leite och K. Winkle,
"Personality-Adapted Language Generation for Social Robots,"
i 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, s. 1800-1807.
[41]
F. Yang et al.,
"Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365,"
i ESEC/FSE 2023 - Proceedings of the 31st ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023, s. 2050-2055.
[42]
E. Yadollahi, M. A. Monteiro och A. Paiva,
"Learning Spatial Reasoning in Virtual vs. Physical Games with Robots,"
i HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction, 2023, s. 162-170.
[43]
A. Güneysu Özgür, E. Yadollahi och B. Indurkhya,
"Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education,"
i HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction, 2023, s. 142-151.
[44]
P. Khanna et al.,
"How do Humans take an Object from a Robot : Behavior changes observed in a User Study,"
i HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction, 2023, s. 372-374.
[45]
S. Mkhitaryan et al.,
"How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavior change interventions : a case study on fruit intake,"
BMC Public Health, vol. 23, no. 1, 2023.
[46]
K. Kaya et al.,
"Programmable Matter with Free and High-Resolution Transfiguration and Locomotion,"
Advanced Functional Materials, 2023.
[47]
R. Gieselmann och F. T. Pokorny,
"Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning,"
i Proceedings of The 7th Conference on Robot Learning, 2023.
[48]
F. Cumlin, C. Schüldt och S. Chatterjee,
"Latent-based Neural Net for Non-intrusive Speech Quality Assessment,"
i 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings, 2023, s. 226-230.
[49]
M. Vahs, C. Pek och J. Tumova,
"Belief Control Barrier Functions for Risk-Aware Control,"
IEEE Robotics and Automation Letters, vol. 8, no. 12, s. 8565-8572, 2023.
[50]
Y. Liu et al.,
"Selecting Women for Supplemental Breast Imaging using AI Biomarkers of Cancer Signs, Masking, and Risk,"
(Manuskript).