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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.

Publikationer av författare från RPL

[1]
[2]
F. Esposito et al., "Learning Task Constraints in Visual-Action Planning from Demonstrations," in 2021 30Th Ieee International Conference On Robot And Human Interactive Communication (Ro-Man), 2021, pp. 131-138.
[3]
W. Yin et al., "Graph-based Normalizing Flow for Human Motion Generation and Reconstruction," in 2021 30th IEEE international conference on robot and human interactive communication (RO-MAN), 2021, pp. 641-648.
[4]
S. Manzinger, C. Pek and M. Althoff, "Using Reachable Sets for Trajectory Planning of Automated Vehicles," IEEE Transactions on Intelligent Vehicles, vol. 6, no. 2, pp. 232-248, 2021.
[5]
M. Ning et al., "YOLOv4-object : an Efficient Model and Method for Object Discovery," in 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021, pp. 31-36.
[7]
K. Andersson, "Improving Fixed Wing UAV Endurance, by Cooperative Autonomous Soaring," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2021:65, 2021.
[8]
P. Schillinger et al., "Adaptive heterogeneous multi-robot collaboration from formal task specifications," Robotics and Autonomous Systems, vol. 145, 2021.
[10]
D. Kragic and Y. Sandamirskaya, "Effective and natural human-robot interaction requires multidisciplinary research," SCIENCE ROBOTICS, vol. 6, no. 58, 2021.
[11]
M. C. Welle et al., "Partial caging : a clearance-based definition, datasets, and deep learning," Autonomous Robots, vol. 45, no. 5, pp. 647-664, 2021.
[12]
A. Longhini et al., "Textile Taxonomy and Classification Using Pulling and Twisting," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Prague/Online 27.09-01.10.2021, 2021, pp. 7541-7548.
[13]
T. Kucherenko, "Developing and evaluating co-speech gesture-synthesis models for embodied conversational agents," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2021:75, 2021.
[14]
R. Nagy et al., "A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents," in 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)., 2021.
[15]
M. C. Welle, "Learning Structured Representations for Rigid and Deformable Object Manipulation," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2021:72, 2021.
[16]
A. L. Gert et al., "COORDINATING WITH A ROBOT PARTNER AFFECTS ACTION MONITORING RELATED NEURAL PROCESSING," Psychophysiology, vol. 58, pp. S60-S60, 2021.
[17]
M. M. N. Bienkiewicz et al., "Bridging the gap between emotion and joint action," Neuroscience and Biobehavioral Reviews, vol. 131, pp. 806-833, 2021.
[18]
C. Chernik, P. Tajvar and J. Tumova, "Robust Feedback Motion Primitives for Exploration of Unknown Terrains," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[20]
U. Wennberg and G. E. Henter, "The Case for Translation-Invariant Self-Attention in Transformer-Based Language Models," in ACL-IJCNLP 2021 : THE 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 2, 2021, pp. 130-140.
[21]
C. Ceylan, S. Franzen and F. T. Pokorny, "Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks," in International Conference On Machine Learning, Vol 139, 2021.
[22]
I. Torre et al., "Dimensional perception of a ‘smiling McGurkeffect’," in 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), 2021.
[23]
I. Torre et al., "Exploring the Effects of Virtual Agents’ Smiles on Human-Agent Interaction : A Mixed-Methods Study," in 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), 2021.
[24]
N. Masud, "About Physical Human Robotic Interaction for Assistive Exoskeletons," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2021:58, 2021.
[25]
H. Eivazi et al., "Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence," International Journal of Heat and Fluid Flow, vol. 90, 2021.
[26]
T. Kucherenko et al., "Speech2Properties2Gestures : Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech," in IVA '21 : Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents, 2021, pp. 145-147.
[27]
S. van Waveren et al., "Exploring Non-Expert Robot Programming Through Crowdsourcing," Frontiers in Robotics and AI, vol. 8, 2021.
[28]
K. Grover et al., "Semantic Abstraction-Guided Motion Planning for scLTL Missions in Unknown Environments," in ROBOTICS : SCIENCE AND SYSTEM XVII, 2021.
[29]
A. Guemes et al., "From coarse wall measurements to turbulent velocity fields through deep learning," Physics of fluids, vol. 33, no. 7, 2021.
[30]
A. Czeszumski et al., "Coordinating With a Robot Partner Affects Neural Processing Related to Action Monitoring," Frontiers in Neurorobotics, vol. 15, 2021.
[31]
Ö. Özkahraman and P. Ögren, "Efficient Navigation Aware Seabed Coverage using AUVs," in Proceedings of 2021 IEEE International Conference on Safety, Security, and Rescue Robotics (SSRR), October 25-27 2021, New York, USA., 2021.
[32]
E. Morast and P. Jensfelt, "Towards Next Best View Planning for Time-Variant Scenes," in 2021 7th international conference on automation, robotics and applications (icara 2021), 2021, pp. 247-252.
[33]
R. Bonnevie, D. Duberg and P. Jensfelt, "Long-Term Exploration in Unknown Dynamic Environments," in 2021 7Th International Conference On Automation, Robotics And Applications (Icara 2021), 2021, pp. 32-37.
[34]
S. Abdul Khader, "Data-Driven Methods for Contact-Rich Manipulation: Control Stability and Data-Efficiency," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 49, 2021.
[35]
F. I. Dogan, "Social Robots That Understand Natural Language Instructions and Resolve Ambiguities," in RSS Pioneers 2021 - Held in conjunction with the main Robotics: Science and Systems (RSS) Conference, 2021, 2021.
[37]
[38]
P. H. Andersen et al., "Towards Machine Recognition of Facial Expressions of Pain in Horses," Animals, vol. 11, no. 6, 2021.
[39]
[40]
A. Linard et al., "Formalizing Trajectories in Human-Robot Encounters via Probabilistic STL Inference," in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[41]
I. Torre et al., "Should Robots Chicken? : How Anthropomorphism and Perceived Autonomy Influence Trajectories in a Game-Theoretic Problem," in Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021, pp. 370-379.
[42]
F. Esposito et al., "Learning Task Constraints in Visual-Action Planning from Demonstrations," in IEEE Int. Conf. on Robot and Human Interactive Communication, 2021.
[43]
H. Yin, A. Varava and D. Kragic, "Modeling, learning, perception, and control methods for deformable object manipulation," Science Robotics, vol. 6, no. 54, 2021.
[44]
C. Pek, "Discrimination through algorithms and AI: Technical aspects," in Künstliche Intelligenz : Recht und Praxis automatisierter und autonomer Systeme, Kuuya Josef Chibanguza, Christian Kuß and Hans Steege Ed., : Nomos Verlagsgesellschaft, 2021.
[45]
T. Kucherenko et al., "A large, crowdsourced evaluation of gesture generation systems on common data : The GENEA Challenge 2020," in Proceedings IUI '21: 26th International Conference on Intelligent User Interfaces, 2021, pp. 11-21.
[46]
R. Gieselmann and F. T. Pokorny, "Planning-Augmented Hierarchical Reinforcement Learning," IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5097-5104, 2021.
[47]
T. Nyberg et al., "Risk-aware Motion Planning for Autonomous Vehicles with Safety Specifications," in 32nd IEEE Intelligent Vehicles Symposium, July 11-17, 2021 Nagoya University, Nagoya, Japan [Virtual], 2021.
[48]
S. Bujwid and J. Sullivan, "Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions," in Proceedings of the Third Workshop on Beyond Vision and LANguage : inTEgrating Real-world kNowledge (LANTERN), 2021, pp. 38-52.
[49]
E. Heiden et al., "Bench-MR : A Motion Planning Benchmark for Wheeled Mobile Robots," IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 4536-4543, 2021.
[50]
M. Lee et al., "Robo-Identity: Exploring Artificial Identity and Multi-Embodiment," in ACM/IEEE International Conference on Human-Robot Interaction, 2021.
Full list in the KTH publications portal