Publications
Below are the divisions's 50 latest publications according to the KTH library database DiVA.
Link to the full list for RPL in KTH's publication portal can be found at the bottom of this list. Researchers also maintain individual publication lists, see People in the menu on the main page.
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 and I. Leite,
"PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning,"
in HRI 2024 - Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 259-268.
[3]
N. Rahimzadagan et al.,
"Drone Fail Me Now: How Drone Failures Afect Trust and Risk-Taking Decisions,"
in HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 862-866.
[4]
M. K. Wozniak et al.,
"Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI),"
in HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 1361-1363.
[5]
M. K. Wozniak,
"Enhancing Robot Perception with Real-World HRI,"
in HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 160-162.
[6]
E. Yadollahi et al.,
"Explainability for Human-Robot Collaboration,"
in HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 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,"
Doctoral thesis : 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,"
in 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,"
in 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,"
Doctoral thesis 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,"
Doctoral thesis 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,"
in 2023 IEEE-RAS 22nd International Conference on Humanoid Robots, 2023.
[16]
Z. Weng et al.,
"GoNet : An Approach-Constrained Generative Grasp Sampling Network,"
in 2023 IEEE-RAS 22nd International Conference on Humanoid Robots, 2023.
[17]
Y. Ma et al.,
"Emotion-Aware Voice Assistants: Design, Implementation, and Preliminary Insights,"
in Proceedings of the 11th International Symposium of Chinese CHI: Generative, Reflective, Envisioning, Chinese CHI 2023, 2023, pp. 527-532.
[18]
T. Rastogi and M. Björkman,
"Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequences,"
in 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 2023, pp. 2282-2288.
[19]
Q. Zhang et al.,
"A Dynamic Points Removal Benchmark in Point Cloud Maps,"
in 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 2023, pp. 608-614.
[20]
Y. Yang et al.,
"RMP : A Random Mask Pretrain Framework for Motion Prediction,"
in 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 2023, pp. 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, pp. 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,"
in Proceedings Of The 25Th International Conference On Multimodal Interaction, Icmi 2023, 2023, pp. 792-801.
[23]
X. Zhu et al.,
"Surface Defect Detection with Limited Training Data : A Case Study on Crown Wheel Surface Inspection,"
in 56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023, 2023, pp. 1333-1338.
[24]
H. Chen et al.,
"Resilient Synchronization of Networked Lagrangian Systems in Adversarial Environments,"
in 2023 62nd IEEE Conference on Decision and Control, CDC 2023, 2023, pp. 7539-7545.
[25]
J. Fu et al.,
"Component atention network for multimodal dance improvisation recognition,"
in PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ICMI 2023, 2023, pp. 114-118.
[26]
S. Sabzevari et al.,
"PG-3DVTON : Pose-Guided 3D Virtual Try-on Network,"
in VISIGRAPP 2023 - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Volume 4, 2023, pp. 819-829.
[27]
S. Van Waveren et al.,
"Generating Scenarios from High-Level Specifications for Object Rearrangement Tasks,"
in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, pp. 11420-11427.
[28]
D. Marta et al.,
"VARIQuery: VAE Segment-Based Active Learning for Query Selection in Preference-Based Reinforcement Learning,"
in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, pp. 7878-7885.
[29]
M. Kartasev, J. Salér and P. Ögren,
"Improving the Performance of Backward Chained Behavior Trees that use Reinforcement Learning,"
in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, 2023, pp. 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,"
in 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, pp. 2045-2050.
[32]
I. Torre et al.,
"Can a gender-ambiguous voice reduce gender stereotypes in human-robot interactions?,"
in 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, pp. 106-112.
[33]
N. Rajabi et al.,
"Detecting the Intention of Object Handover in Human-Robot Collaborations : An EEG Study,"
in 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, pp. 549-555.
[34]
W. Yin et al.,
"Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models,"
in 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, pp. 1102-1108.
[35]
B. J. Zhang et al.,
"Hearing it Out : Guiding Robot Sound Design through Design Thinking,"
in 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, pp. 2064-2071.
[36]
M. K. Wozniak et al.,
"Happily Error After : Framework Development and User Study for Correcting Robot Perception Errors in Virtual Reality,"
in 2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, pp. 1573-1580.
[37]
G. I. Melsión et al.,
"What's at Stake? : Robot explanations matter for high but not low-stake scenarios,"
in 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, pp. 2421-2426.
[38]
P. Khanna, M. Björkman and C. Smith,
"A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers,"
in 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, pp. 1843-1850.
[39]
P. Khanna et al.,
"Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration,"
in 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, pp. 1829-1836.
[40]
A. Galatolo, I. Leite and K. Winkle,
"Personality-Adapted Language Generation for Social Robots,"
in 2023 32nd IEEE international conference on robot and human interactive communication, RO-MAN, 2023, pp. 1800-1807.
[41]
F. Yang et al.,
"Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365,"
in ESEC/FSE 2023 - Proceedings of the 31st ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023, pp. 2050-2055.
[42]
E. Yadollahi, M. A. Monteiro and A. Paiva,
"Learning Spatial Reasoning in Virtual vs. Physical Games with Robots,"
in HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction, 2023, pp. 162-170.
[43]
A. Güneysu Özgür, E. Yadollahi and B. Indurkhya,
"Lessons Learned from in the Wild Child-Robot Interaction in Multiple Ecosystems of Care and Education,"
in HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction, 2023, pp. 142-151.
[44]
P. Khanna et al.,
"How do Humans take an Object from a Robot : Behavior changes observed in a User Study,"
in HAI 2023 - Proceedings of the 11th Conference on Human-Agent Interaction, 2023, pp. 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 and F. T. Pokorny,
"Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning,"
in Proceedings of The 7th Conference on Robot Learning, 2023.
[48]
F. Cumlin, C. Schüldt and S. Chatterjee,
"Latent-based Neural Net for Non-intrusive Speech Quality Assessment,"
in 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings, 2023, pp. 226-230.
[49]
M. Vahs, C. Pek and J. Tumova,
"Belief Control Barrier Functions for Risk-Aware Control,"
IEEE Robotics and Automation Letters, vol. 8, no. 12, pp. 8565-8572, 2023.
[50]
Y. Liu et al.,
"Selecting Women for Supplemental Breast Imaging using AI Biomarkers of Cancer Signs, Masking, and Risk,"
(Manuscript).