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]
S. Alexanderson et al., "Style-Controllable Speech-Driven Gesture SynthesisUsing Normalising Flows," in EUROGRAPHICS 2020, 2020.
[2]
J. F. Pinto Basto de Carvalho, "Topological Methods for Motion Prediction and Caging," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:11, 2020.
[3]
S. Cruciani et al., "Benchmarking In-Hand Manipulation," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 588-595, 2020.
[5]
D. Kontogiorgos et al., "Behavioural Responses to Robot Conversational Failures," in International Conference on Human Robot Interaction (HRI), HRI ’20, March 23–26, 2020, Cambridge, United Kingdom, 2020.
[6]
D. Kontogiorgos et al., "Embodiment Effects in Interactions with Failing Robots," in SIGCHI Conference on Human Factors in Computing Systems, CHI ’20, April 25–30, 2020, Honolulu, HI, USA, 2020.
[7]
J. A. Haustein, "Robot Manipulation Planning Among Obstacles: Grasping, Placing and Rearranging," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:6, 2020.
[8]
L. Palmieri et al., "Dispertio : Optimal Sampling For Safe Deterministic Motion Planning," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 362-368, 2020.
[9]
J. F. Pinto Basto de Carvalho et al., "Long-term Prediction of Motion Trajectories Using Path Homology Clusters," in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
[10]
T. Klamt et al., "Flexible Disaster Response of Tomorrow : Final Presentation and Evaluation of the CENTAURO System," IEEE robotics & automation magazine, vol. 26, no. 4, pp. 59-72, 2019.
[11]
P. Jonell et al., "Crowdsourcing a self-evolving dialog graph," in CUI '19: Proceedings of the 1st International Conference on Conversational User Interfaces, 2019.
[12]
P. Tajvar et al., "Robust motion planning for non-holonomicrobots with planar geometric constraints," in Proceedings of the ISRR2019, 2019.
[13]
V. Polianskii and F. T. Pokorny, "Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration," in Proceedings of Machine Learning Research (PMLR), 2019, pp. 5162-5170.
[14]
M. Mancini et al., "Knowledge is Never Enough : Towards Web Aided Deep Open World Recognition," in 2019 International Conference on Robotics And Automation (ICRA), 2019, pp. 9537-9543.
[15]
W. Yuan et al., "Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation," in 2019 International Conference on Robotics and Automation (ICRA), 2019, pp. 2153-2160.
[16]
H. Karaoguz and P. Jensfelt, "Object Detection Approach for Robot Grasp Detection," in 2019 International Conference on Robotics And Automation (ICRA), 2019, pp. 4953-4959.
[17]
J. A. Haustein et al., "Object Placement Planning and Optimization for Robot Manipulators," in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), 2019.
[18]
S. van Waveren et al., "Knock on Wood: The Effects of Material Choice on the Perception of Social Robots," in Lecture Notes in Artificial Intelligence series (LNAI), 2019.
[19]
A. Gällström, L. Rixon Fuchs and C. Larsson, "Enhanced sonar image resolution using compressive sensing modelling," in Conference Proceedings 5th Underwater Acoustics Conference and Exhibition UACE2019, 2019, pp. 995-999.
[20]
L. Rixon Fuchs, C. Larsson and A. Gällström, "Deep learning based technique for enhanced sonar imaging," in 5th Underwater Acoustics Conference & Exhibition (UACE), Hersonissos, Crete, Greece, 30 Jun - 5 Jul 2019, 2019, pp. 1021-1028.
[21]
S. Cruciani, "Vision-Based In-Hand Manipulation with Limited Dexterity," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2019:74, 2019.
[22]
D. Almeida, "Dual-Arm Robotic Manipulation under Uncertainties and Task-Based Redundancy," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2019:73, 2019.
[23]
S. van Waveren, E. J. Carter and I. Leite, "Take one for the team : The effects of error severity in collaborative tasks with social robots," in IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents, 2019, pp. 151-158.
[24]
S. Cruciani et al., "Dual-Arm In-Hand Manipulation Using Visual Feedback," in IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids) October 15-17, 2019 Toronto, Canada, 2019, pp. 411-418.
[25]
J. A. Haustein et al., "Placing Objects with prior In-Hand Manipulation using Dexterous Manipulation Graphs," in IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), Toronto, Canada, October 15-17, 2019., 2019, pp. 477-484.
[26]
F. S. Barbosa et al., "Integrated motion planning and control under metric interval temporal logic specifications," in 2019 18th European Control Conference, ECC 2019, 2019, pp. 2042-2049.
[27]
E. Sibirtseva et al., "Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality," in Virtual, Augmented and Mixed Reality. Multimodal Interaction 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, 2019, pp. 108-123.
[28]
P. Jonell et al., "Learning Non-verbal Behavior for a Social Robot from YouTube Videos," in ICDL-EpiRob Workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions, Oslo, Norway, August 19, 2019, 2019.
[29]
E. Englesson and H. Azizpour, "Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation," in International Conference on Machine Learning (ICML) Workshops, 2019 Workshop on Uncertainty and Robustness in Deep Learning, 2019.
[30]
F. Baldassarre and H. Azizpour, "Explainability Techniques for Graph Convolutional Networks," in International Conference on Machine Learning (ICML) Workshops, 2019 Workshop on Learning and Reasoning with Graph-Structured Representations, 2019.
[31]
W. Yuan et al., "End-to-end nonprehensile rearrangement with deep reinforcement learning and simulation-to-reality transfer," Robotics and Autonomous Systems, vol. 119, pp. 119-134, 2019.
[32]
D. Almeida, E. Ataer-Cansizoglu and R. Corcodel, "Detection, Tracking and 3D Modeling of Objects with Sparse RGB-D SLAM and Interactive Perception," in IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2019.
[33]
D. Almeida and Y. Karayiannidis, "A Lyapunov-Based Approach to Exploit Asymmetries in Robotic Dual-Arm Task Resolution," in 58th IEEE Conference on Decision and Control (CDC), 2019.
[34]
D. Almeida and Y. Karayiannidis, "Asymmetric Dual-Arm Task Execution using an Extended Relative Jacobian," in The International Symposium on Robotics Research, 2019.
[35]
I. Mitsioni et al., "Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting," in The 2019 IEEE-RAS International Conference on Humanoid Robots, Toronto, Canada, October 15-17, 2019., 2019.
[36]
R. Tu et al., "Causal Discovery in the Presence of Missing Data," in The 22nd International Conference on Artificial Intelligence and Statistics, 2019.
[37]
C. Hamesse et al., "Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation," in Proceedings of Machine Learning Research 106, 2019.
[38]
I. Arnekvist, D. Kragic and J. A. Stork, "Vpe : Variational policy embedding for transfer reinforcement learning," in 2019 International Conference on Robotics And Automation (ICRA), 2019, pp. 36-42.
[39]
J. Mänttäri and J. Folkesson, "Incorporating Uncertainty in Predicting Vehicle Maneuvers at Intersections With Complex Interactions," in 2019 IEEE Intelligent Vehicles Symposium (IV), 2019.
[40]
J. Tang et al., "GCNv2 : Efficient Correspondence Prediction for Real-Time SLAM," IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 3505-3512, 2019.
[41]
M. Nordström et al., "Interactive Deep Learning-Based Delineation of Gross Tumor Volume for Postoperative Glioma Patients," Medical physics (Lancaster), vol. 46, no. 6, pp. E426-E427, 2019.
[42]
K. Stefanov et al., "Modeling of Human Visual Attention in Multiparty Open-World Dialogues," ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION, vol. 8, no. 2, 2019.
[43]
S. Eriksson et al., "Dancing with Drones : Crafting Novel Artistic Expressions through Intercorporeality," in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019, pp. 617:1-617:12.
[44]
J. Shi et al., "Automated Underwater Pipeline Damage Detection using Neural Nets," in ICRA 2019 Workshop on Underwater Robotics Perception, 2019.
[45]
D. Peng, J. Folkesson and C. Xu, "Robust Particle Filter Based on Huber Function for Underwater Terrain Aided Navigation," IET radar, sonar & navigation, 2019.
[46]
J. Bütepage, "Generative models for action generation and action understanding," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2019:60, 2019.
[47]
C. Zhang et al., "Advances in Variational Inference," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 41, no. 8, pp. 2008-2026, 2019.
[48]
P. Wolfert et al., "Should Beat Gestures Be Learned Or Designed? : A Benchmarking User Study," in ICDL-EPIROB 2019 : Workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions, 2019.
[49]
F. S. Barbosa et al., "Guiding Autonomous Exploration with Signal Temporal Logic," IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 3332-3339, 2019.
[50]
A. Billard and D. Kragic, "Trends and challenges in robot manipulation," Science, vol. 364, no. 6446, pp. 1149-+, 2019.
Full list in the KTH publications portal
Page responsible:Web editors at EECS
Belongs to: Robotics, Perception and Learning
Last changed: Nov 20, 2019