Publications by RPL Authors

50 latest publications from RPL, according to the KTH library database DiVA.

Link to the full list for TMH in the KTH publication portal in the bottom of the list. Researchers also maintain individual publication lists, see People in the menu on the main page.

Publications by RPL Authors

[1]
F. T. Pokorny et al., "A database for reproducible manipulation research : CapriDB – Capture, Print, Innovate," Data in Brief, vol. 11, pp. 491-498, 2017.
[2]
E. Hyttinen, "Adaptive Grasping Using Tactile Sensing," Licentiate thesis : KTH Royal Institute of Technology, TRITA-CSC-A, 2017-14, 2017.
[3]
R. Ambrus et al., "Autonomous meshing, texturing and recognition of objectmodels with a mobile robot," in Intelligent Robots and Systems, IEEE/RSJ International Conference on, 2017.
[4]
M. Colledanchise, "Behavior Trees in Robotics," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-CSC-A, 2017:07, 2017.
[5]
M. Sun et al., "Collaborative storytelling between robot and child : A feasibility study," in IDC 2017 - Proceedings of the 2017 ACM Conference on Interaction Design and Children, 2017, pp. 205-214.
[7]
K. Karipidou et al., "Computer Analysis of Sentiment Interpretation in Musical Conducting," in IEEE Conference on Automatic Face and Gesture Recognition, 2017.
[8]
A. Sharif Razavian, "Convolutional Network Representation for Visual Recognition," Doctoral thesis : KTH Royal Institute of Technology, TRITA-CSC-A, 2017:01, 2017.
[9]
A. Nikou et al., "Cooperative planning for coupled multi-agent systems under timed temporal specifications," in 2017 American Control Conference (ACC) 24-26 May 2017, 2017, pp. 1847-1852.
[10]
D. Almeida and Y. Karayiannidis, "Dexterous manipulation by means of compliant grasps and external contacts," in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, pp. 1913-1920.
[12]
F. Ciccozzi et al., "Engineering the software of robotic systems," in Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017, 2017, pp. 507-508.
[13]
A. Marzinotto, "Flexible Robot to Object Interactions Through Rigid and Deformable Cages," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-CSC-A, 2017:08, 2017.
[14]
O. Erkent, H. Karaoguz and H. I. Bozma, "Hierarchically self-organizing visual place memory," Advanced Robotics, vol. 31, no. 16, pp. 865-879, 2017.
[15]
[16]
H. Karaoguz et al., "Human-Centric Partitioning of the Environment," in IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN, 2017.
[17]
J. Haustein, K. Hang and D. Kragic, "Integrating motion and hierarchical fingertip grasp planning," in 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, pp. 3439-3446.
[19]
D. Seita et al., "Large-scale supervised learning of the grasp robustness of surface patch pairs," in 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2016, 2017, pp. 216-223.
[20]
A. Pronobis and R. P. N. Rao, "Learning Deep Generative Spatial Models for Mobile Robots," in Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’17), 2017.
[22]
P. Güler, "Learning Object Properties From Manipulation for Manipulation," Doctoral thesis US-AB : KTH Royal Institute of Technology, TRITA-CSC-A, 2017:16, 2017.
[23]
E. F. Villaronga and G. S. Virk, "Legal issues for mobile servant robots," in 25th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2016, 2017, pp. 605-612.
[24]
C. -. Vasile et al., "Minimum-violation scLTL motion planning for mobility-on-demand," in 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, pp. 1481-1488.
[26]
N. J. J. M. Smets et al., "Ontology-based situation awareness support for shared control : Extended abstract," in ACM/IEEE International Conference on Human-Robot Interaction, 2017, pp. 289-290.
[27]
Y. Karayiannidis, L. Droukas and Z. Doulgeri, "Operational space robot control for motion performance and safe interaction under Unintentional Contacts," in 2016 European Control Conference, ECC 2016, 2017, pp. 407-412.
[29]
B. Christalin et al., "Synthesis of reactive control protocols for switch electrical power systems for commercial application with safety specifications," in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, 2017.
[30]
D. Almeida, "Team KTH’s Picking Solution for the Amazon Picking Challenge 2016," in Warehouse Picking Automation Workshop 2017 : Solutions, Experience, Learnings and Outlook of the Amazon Robotics Challenge, 2017.
[31]
C. H. Ek and D. Kragic, "The importance of structure," in 15th International Symposium of Robotics Research, 2011, 2017, pp. 111-127.
[32]
S. Carlsson et al., "The preimage of rectifier network activities," in International Conference on Learning Representations, 2017.
[33]
R. Ambrus, "Unsupervised construction of 4D semantic maps in a long-term autonomy scenario," Doctoral thesis KTH Royal Institute of Technology : Universitetsservice US AB, TRITA-CSC-A, 22, 2017.
[34]
A. Eriksson and H. Kjellström, "A formal approach to anomaly detection," in ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016, pp. 317-326.
[35]
V. Högman et al., "A sensorimotor learning framework for object categorization," IEEE Transactions on Cognitive and Developmental Systems, vol. 8, no. 1, pp. 15-25, 2016.
[36]
A. Ghadirzadeh et al., "A sensorimotor reinforcement learning framework for physical human-robot interaction," in IEEE International Conference on Intelligent Robots and Systems, 2016, pp. 2682-2688.
[37]
S. Caccamo et al., "Active perception and modeling of deformable surfaces using Gaussian processes and position-based dynamics," in IEEE-RAS International Conference on Humanoid Robots, 2016, pp. 530-537.
[38]
F. Viña Barrientos et al., "Adaptive Control for Pivoting with Visual and Tactile Feedback," in IEEE International Conference on Robotics and Automation,Stockholm, Sweden 16-21 May 2016, 2016.
[39]
F. Båberg et al., "Adaptive object centered teleoperation control of a mobile manipulator," in 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016, pp. 455-461.
[40]
X. Sun et al., "All-Optical Switching Using a Hybrid Plasmonic Donut Resonator With Photothermal Absorber," IEEE Photonics Technology Letters, vol. 28, no. 15, pp. 1609-1612, 2016.
[41]
Y. Karayiannidis et al., "An Adaptive Control Approach for Opening Doors and Drawers Under Uncertainties," IEEE Transactions on robotics, vol. 32, no. 1, pp. 161-175, 2016.
[42]
J. Johansson, M. Solli and A. Maki, "An Evaluation of Local Feature Detectors and Descriptors for Infrared Images," in Lecture Notes in Computer Science, Volume 9915, 2016, pp. 711-723.
[43]
R. Krug et al., "Analytic grasp success prediction with tactile feedback," in Proceedings - IEEE International Conference on Robotics and Automation, 2016, pp. 165-171.
[44]
T. Faeulhammer et al., "Autonomous Learning of Object Models on a Mobile Robot," IEEE Robotics and Automation Letters, 2016.
[45]
C. Zhang, S. Mandt and H. Kjellström, "Balanced Population Stochastic Variational Inference," in NIPS Workshop on Advances in Approximate Bayesian Inference, 2016.
[46]
D. Almeida, F. E. Viña and Y. Karayiannidis, "Bimanual Folding Assembly : Switched Control and Contact Point Estimation," in IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), Cancun, 2016, 2016.
[47]
A. Qu et al., "Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation," in NIPS Workshop on Machine Learning for Health, 2016.
[48]
Z. Wang, P. Jensfelt and J. Folkesson, "Building a human behavior map from local observations," in Robot and Human Interactive Communication (RO-MAN), 2016 25th IEEE International Symposium on, 2016, pp. 64-70.
[49]
A. Varava, D. Kragic and F. T. Pokorny, "Caging Grasps of Rigid and Partially Deformable 3-D Objects With Double Fork and Neck Features," IEEE Transactions on robotics, vol. 32, no. 6, pp. 1479-1497, 2016.
[50]
J. Tumova and D. V. Dimarogonas, "Decomposition of multi-agent planning under distributed motion and task LTL specifications," in Proceedings of the IEEE Conference on Decision and Control, 2016, pp. 7448-7453.
Full list in the KTH publications portal
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