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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.

Publications by RPL Authors

[1]
J. Karlsson et al., "Encoding Human Driving Styles in Motion Planning for Autonomous Vehicles," in ICRA International Conference on Robotics and Automation, 2021.
[2]
S. Gillet et al., "Robot Gaze Can Mediate Participation Imbalance in Groups with Different Skill Levels," in Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021, pp. 303-311.
[3]
I. Torre, F. I. Dogan and D. Kontogiorgos, "Voice, Embodiment, and Autonomy as Identity Affordances," in HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021.
[6]
T. Kucherenko et al., "Moving Fast and Slow : Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation," International Journal of Human-Computer Interaction, pp. 1-17, 2021.
[7]
A. Ghadirzadeh et al., "Human-Centered Collaborative Robots With Deep Reinforcement Learning," IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 566-571, 2021.
[8]
J. Mänttäri, "Interpretable, Interaction-Aware Vehicle Trajectory Prediction with Uncertainty," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2021:9, 2021.
[9]
S. A. Khader et al., "Stability-Guaranteed Reinforcement Learning for Contact-Rich Manipulation," IEEE Robotics and Automation Letters, vol. 6, no. 1, pp. 1-8, 2021.
[10]
S. Alexanderson et al., "Generating coherent spontaneous speech and gesture from text," in Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, IVA 2020, 2020.
[11]
M. Nordström et al., "Calibrated Surrogate Maximization of Dice," in Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV, 2020, pp. 269-278.
[12]
F. Liljefors, M. Sorkhei and S. Broomé, "[Re] Unsupervised Scalable Representation Learning for Multivariate Time Series," ReScience C, vol. 6, no. 2, 2020.
[13]
M. Klasson, C. Zhang and H. Kjellström, "Using Variational Multi-view Learning for Classification of Grocery Items," Patterns, vol. 1, no. 8, 2020.
[14]
F. Baldassarre et al., "Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks," in ECCV 2020: Computer Vision – ECCV 2020, 2020, pp. 612-630.
[15]
Y. Liu et al., "Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models," in Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VI (Lecture Notes in Computer Science), 2020, pp. 230-240.
[16]
A. Linard and J. Tumova, "Active Learning of Signal Temporal Logic Specifications," in IEEE International Conference on Automation Science and Engineering, 2020, pp. 779-785.
[17]
S. Chen et al., "Amortized Variational Inference for Road Friction Estimation," in IEEE Symposium on Intelligent Vehicle, 2020.
[18]
J. Karlsson, F. S. Barbosa and J. Tumova, "Sampling-based Motion Planning with Temporal Logic Missions and Spatial Preferences," in IFAC, International Federation of Automatic Control virtually from Tuesday to Friday, May 25-28, 2021,, 2020.
[19]
F. I. Dogan and I. Leite, "Open Challenges on Generating Referring Expressions for Human-Robot Interaction," in The 2nd Workshop on NLG for HRI at the International Conference on Natural Language Generation (INLG) December 18, 2020, (virtual), 2020.
[20]
S. Cruciani et al., "Discrete Bimanual Manipulation for Wrench Balancing," in Proceedings - IEEE International Conference on Robotics and Automation, 2020, pp. 2631-2637.
[21]
P. L. Dovesi et al., "Real-Time Semantic Stereo Matching," in Proceedings - IEEE International Conference on Robotics and Automation, 2020, pp. 10780-10787.
[22]
S. Cruciani, H. Yin and D. Kragic, "In-Hand Manipulation of Objects with Unknown Shapes," in Proceedings - IEEE International Conference on Robotics and Automation, 2020, pp. 8848-8854.
[23]
E. D. Rimon, F. T. Pokorny and W. Wan, "Geometric Characterization of Two-Finger Basket Grasps of 2-D Objects : Contact Space Formulation," in Proceedings - IEEE International Conference on Robotics and Automation, 2020, pp. 1560-1566.
[24]
D. Kontogiorgos, E. Sibirtseva and J. Gustafson, "Chinese whispers : A multimodal dataset for embodied language grounding," in LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, 2020, pp. 743-749.
[25]
Y. Zhong and A. Maki, "Regularizing CNN transfer learning with randomised regression," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2020, pp. 13634-13643.
[26]
J. Wenger, H. Kjellström and R. Triebel, "Non-Parametric Calibration for Classification," in International Conference on Artificial Intelligence and Statistics, Vol 108, 2020.
[27]
J. Karlsson and J. Tumova, "Intention-aware motion planning with road rules," in 2020 IEEE 16TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2020, pp. 526-532.
[28]
A. Linard and J. Tumova, "Active Learning of Signal Temporal Logic Specifications," in 2020 IEEE 16th international conference on automation science and engineering (CASE), 2020, pp. 779-785.
[29]
G. F. Schuppe and J. Tumova, "Multi-Agent Strategy Synthesis for LTL Specifications through Assumption Composition," in 2020 IEEE 16th international conference on automation science and engineering (CASE), 2020, pp. 533-540.
[30]
P. Tajvar, F. S. Barbosa and J. Tumova, "Safe Motion Planning for an Uncertain Non-Holonomic System with Temporal Logic Specification," in 2020 IEEE 16th international conference on automation science and engineering (CASE), 2020, pp. 349-354.
[31]
P. Jonell et al., "Let’s face it : Probabilistic multi-modal interlocutor-aware generation of facial gestures in dyadic settings," in IVA '20: Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, 2020.
[32]
P. Jonell et al., "Can we trust online crowdworkers? : Comparing online and offline participants in a preference test of virtual agents.," in IVA '20: Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, 2020.
[33]
J. Karlsson and J. Tumova, "Intention-aware motion planning with road rules," in IEEE International Conference on Automation Science and Engineering, 2020, pp. 526-532.
[34]
P. Tajvar, F. S. Barbosa and J. Tumova, "Safe Motion Planning for an Uncertain Non-Holonomic System with Temporal Logic Specification," in IEEE International Conference on Automation Science and Engineering, 2020, pp. 349-354.
[35]
M. Rashid, H. Kjellström and Y. J. Lee, "Action Graphs : Weakly-supervised Action Localization with Graph Convolution Networks," in 2020 ieee winter conference on applications of computer vision (wacv), 2020, pp. 604-613.
[36]
[37]
C. Licoppe and S. Tuncer, "Analyzing interactions at work : The case of electronic monitoring," Sociologie du travail, vol. 62, no. 1-2, 2020.
[38]
F. I. Dogan et al., "The impact of adding perspective-taking to spatial referencing during human-robot interaction," Robotics and Autonomous Systems, vol. 134, 2020.
[39]
V. Polianskii and F. T. Pokorny, "Voronoi Graph Traversal in High Dimensions with Applications to Topological Data Analysis and Piecewise Linear Interpolation," in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020, pp. 2154-2164.
[40]
F. Yang et al., "Group Behavior Recognition Using Attention- and Graph-Based Neural Networks," in the 24th European Conference on Artificial Intelligence (ECAI), 29 aug -8 sep, 2020, 2020.
[41]
S. Tuncer, O. Lindwall and B. Brown, "Making Time : Pausing to Coordinate Video Instructions and Practical Tasks," Symbolic interaction, 2020.
[42]
X. Zhang et al., "How Do Fair Decisions Fare in Long-term Qualification?," in Proceedings of the NeurIPS 2020, 2020.
[43]
A. Varava et al., "Free space of rigid objects : caging, path non-existence, and narrow passage detection," The international journal of robotics research, 2020.
[45]
T. Kucherenko et al., "Gesticulator : A framework for semantically-aware speech-driven gesture generation," in ICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction, 2020.
[46]
D. Duberg and P. Jensfelt, "UFOMap : An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown," IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 6411-6418, 2020.
[47]
X. Chen, "Data-Efficient Reinforcement and Transfer Learning in Robotics," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:64, 2020.
[48]
X. Chen et al., "Adversarial Feature Training for Generalizable Robotic Visuomotor Control," in Proceedings - IEEE International Conference on Robotics and Automation, 2020.
[49]
V. E. Arriola-Rios et al., "Modeling of Deformable Objects for Robotic Manipulation : A Tutorial and Review," Frontiers in Robotics and AI, vol. 7, 2020.
[50]
S. Alexanderson et al., "Style-Controllable Speech-Driven Gesture Synthesis Using Normalising FlowsKeywords," Computer graphics forum (Print), vol. 39, no. 2, pp. 487-496, 2020.
Full list in the KTH publications portal
Page responsible:Web editors at EECS
Belongs to: Robotics, Perception and Learning
Last changed: Nov 20, 2019