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Publikationer

Här listas avdelningens 50 senaste publikationer från KTH:s publikationsportal DiVA.

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Publikationer av författare från RPL

[1]
M. Iovino et al., "A survey of Behavior Trees in robotics and AI," Robotics and Autonomous Systems, vol. 154, 2022.
[2]
M. Ning et al., "SeeFar : Vehicle Speed Estimation and Flow Analysis from a Moving UAV," i Image Analysis and Processing, ICIAP 2022, PT III, 2022, s. 278-289.
[3]
S. van Waveren, "Towards Automatically Correcting Robot Behavior Using Non-Expert Feedback," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:73, 2022.
[4]
N. E. Yuceturk et al., "Predictive Analysis of Errors During Robot-Mediated Gamified Training," i 2022 International Conference On Rehabilitation Robotics (ICORR), 2022.
[5]
J. M. Gaspar Sánchez et al., "Foresee the Unseen : Sequential Reasoning about Hidden Obstacles for Safe Driving," i 2022 IEEE Intelligent Vehicles Symposium (IV), 2022, s. 255-264.
[6]
C. Sprague, "Efficient and Trustworthy Artificial Intelligence for Critical Robotic Systems," Doktorsavhandling Stockholm : Kungliga Tekniska högskolan, TRITA-EECS-AVL, 2022:68, 2022.
[7]
Z. Ji, E. Choi och P. Gao, "A Knowledge Base Question Answering System for Cyber Threat Knowledge Acquisition," i 2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022), 2022, s. 3158-3161.
[8]
M. Gamba et al., "Are All Linear Regions Created Equal?," i INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022.
[9]
C. Sprague och P. Ögren, "Adding Neural Network Controllers to Behavior Trees without Destroying Performance Guarantees," i The 61th IEEE Conference on Decision and Control (CDC 2022), 2022.
[10]
L. Rixon Fuchs, A. Maki och A. Gällström, "Optimization Method for Wide Beam Sonar Transmit Beamforming," Sensors, vol. 22, no. 19, s. 7526, 2022.
[11]
S. Mkhitaryan et al., "FCMpy : a python module for constructing and analyzing fuzzy cognitive maps," PeerJ Computer Science, vol. 8, s. e1078, 2022.
[12]
A. Pokropek och E. Pokropek, "Deep Neural Networks for Detecting Statistical Model Misspecifications : The Case of Measurement Invariance," Structural Equation Modeling, vol. 29, no. 3, s. 394-411, 2022.
[13]
S. Petisca et al., "Human Dishonesty in the Presence of a Robot : The Effects of Situation Awareness," International Journal of Social Robotics, vol. 14, no. 5, s. 1211-1222, 2022.
[14]
M. Klasson, "Fine-Grained and Continual Visual Recognition for Assisting Visually Impaired People," Doktorsavhandling Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:63, 2022.
[15]
V. Polianskii, "Breaking the Dimensionality Curse of Voronoi Tessellations," Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:62, 2022.
[16]
V. Polianskii et al., "Voronoi Density Estimator for High-Dimensional Data: Computation, Compactification and Convergence," i Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, 2022, s. 1644-1653.
[17]
A. Kravberg et al., "Active Nearest Neighbor Regression Through Delaunay Refinement," i Proceedings of the 39th International Conference on Machine Learning, 2022, s. 11650-11664.
[18]
W. Wang, G. F. Schuppe och J. Tumova, "Decentralized Multi-agent Coordination under MITL Tasks and Communication Constraints," i Proceedings - 13th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2022, 2022, s. 320-321.
[19]
J. K. Olsen et al., "Leveraging eye tracking to understand children's attention during game-based, tangible robotics activities," International Journal of Child-Computer Interaction, vol. 31, 2022.
[20]
S. U. Demir Kanik et al., "Improving EEG-based Motor Execution Classification for Robot Control," i 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, 2022, s. 65-82.
[21]
E. Yadollahi et al., "Do Children Adapt Their Perspective to a Robot When They Fail to Complete a Task?," i Proceedings of Interaction Design and Children, IDC 2022, 2022, s. 341-351.
[22]
T. Souroulla et al., "Model Compression for Resource-Constrained Mobile Robots," i Electronic Proceedings in Theoretical Computer Science, EPTCS, 2022, s. 54-64.
[23]
A. Güneysu Özgür et al., "Designing Tangible Robot Mediated Co-located Games to Enhance Social Inclusion for Neurodivergent Children," i Proceedings of Interaction Design and Children, IDC 2022, 2022, s. 536-543.
[24]
A. Maki et al., "In Memoriam : Jan-Olof Eklundh," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 9, s. 4488-4489, 2022.
[25]
O. Mikheeva et al., "Aligned Multi-Task Gaussian Process," i International Conference On Artificial Intelligence And Statistics, Vol 151, 2022.
[26]
I. Torroba, C. Sprague och J. Folkesson, "Fully-Probabilistic Terrain Modelling and Localization With Stochastic Variational Gaussian Process Maps," IEEE Robotics and Automation Letters, vol. 7, no. 4, s. 8729-8736, 2022.
[27]
S. Gillet et al., "Learning Gaze Behaviors for Balancing Participation in Group Human-Robot Interactions," i HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, 2022.
[28]
Y. Xie, N. Bore och J. Folkesson, "Sidescan Only Neural Bathymetry from Large-Scale Survey," Sensors, vol. 22, no. 14, s. 5092, 2022.
[29]
L. Bruns och P. Jensfelt, "SDFEst : Categorical Pose and Shape Estimation of Objects From RGB-D Using Signed Distance Fields," IEEE Robotics and Automation Letters, vol. 7, no. 4, s. 9597-9604, 2022.
[30]
O. Gustavsson et al., "Cloth manipulation based on category classification and landmark detection," International Journal of Advanced Robotic Systems, vol. 19, no. 4, 2022.
[31]
I. Stenius et al., "A system for autonomous seaweed farm inspection with an underwater robot," Sensors, vol. 22, no. 13, 2022.
[32]
L. Rixon Fuchs, A. Norén och P. Johansson, "GAN-enhanced simulated sonar images for deep learning based detection and classification," i OCEANS 2022, 2022.
[33]
M. Rashid et al., "Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation," i 2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022), 2022, s. 152-162.
[34]
S. Broomé, "Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior," Doktorsavhandling Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:45, 2022.
[36]
[37]
S. Tuncer, S. Gillet och I. Leite, "Robot-Mediated Inclusive Processes in Groups of Children : From Gaze Aversion to Mutual Smiling Gaze," Frontiers in Robotics and AI, vol. 9, 2022.
[38]
P. Poklukar, "Learning and Evaluating the Geometric Structure of Representation Spaces," Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:33, 2022.
[39]
P. Poklukar et al., "GMC - Geometric Multimodal Contrastive Representation Learning," i International Conference on Machine Learning, 2022.
[40]
P. Poklukar et al., "Delaunay Component Analysis for Evaluation of Data Representations," i International Conference on Learning Representations; Apr 25th through Fri the 29th, 2022 (online)., 2022.
[41]
P. Ögren och C. Sprague, "Behavior Trees in Robot Control Systems," Annual Review of Control, Robotics, and Autonomous Systems, vol. 5, no. 1, s. 81-107, 2022.
[42]
T. Kucherenko et al., "Multimodal analysis of the predictability of hand-gesture properties," i AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022, s. 770-779.
[43]
J. Karlsson, "Least-Violating Motion Planning for Traffic-Compliant Autonomous Driving," Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:21, 2022.
[44]
D. Almeida och Y. Karayiannidis, "Asymmetric Dual-Arm Task Execution Using an Extended Relative Jacobian," i Robotics Research : 19th International Symposium  ISRR, 2022, s. 18-34.
[45]
T. Nyberg et al., "Evaluating Sequential Reasoning about Hidden Objects in Traffic," i ICCPS '22: Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022.
[46]
R. Tu et al., "Optimal transport for causal discovery," i Proceedings ICLR 2022 - The Tenth International Conference on Learning Representations, 2022.
[47]
S. Ahlberg et al., "Co-adaptive Human-Robot Cooperation : Summary and Challenges," Unmanned Systems, vol. 10, no. 02, s. 187-203, 2022.
[48]
M. R. Fraune et al., "Lessons Learned About Designing and Conducting Studies From HRI Experts," Frontiers in Robotics and AI, vol. 8, 2022.
[49]
D. Duberg, "Flexible, Efficient, and Scalable Autonomous Exploration and Volumetric Mapping," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2022:14, 2022.
[50]
D. Duberg och P. Jensfelt, "UFOExplorer : Fast and Scalable Sampling-Based Exploration With a Graph-Based Planning Structure," IEEE Robotics and Automation Letters, vol. 7, no. 2, s. 2487-2494, 2022.
Fullständig lista i KTH:s publikationsportal