2018
Journal papers
Nikolaus Vahrenkamp, Eduard Koch, Mirko Wächter, and Tamim Asfour. Planning high-quality grasps using mean curvature object skeletons. IEEE Robotics and Automation Letters (RA-L), 2017. (to appear)
Under Review
Mahdi Khoramshahi and Aude Billard. A dynamical system approach to task-adaptation in physical human-robot interaction. Autonomous Robots (under review), 2017.
Adrian Knobloch, Nikolaus Vahrenkamp, Mirko Wächter, and Tamim Asfour. Distance-aware dynamically weighted roadmaps for motion planning in unknown environments. IEEE Robotics and Automation Letters (RA-L), 2017. (submitted).
Philipp Schmidt, Nikolaus Vahrenkamp, Mirko Wächter, and Tamim Asfour. Robotic grasping of unknown objects using deep convolutional neural networks on depth images. IEEE Robotics and Automation Letters (RA-L), 2017 (submitted).
Apurv Nigam, Adrian Penate-Sanchez, and Lourdes Agapito. Detect globally, label locally: Learning accurate 6-dof object pose estimation by joint segmentation and coordinate regression. Submitted to ICRA 2018.
2017
Journal paper
L Porzi, SR Buló, A Penate-Sanchez, E Ricci, F Moreno-Noguer, Learning depth-aware deep representations for robotic perception, IEEE Robotics and Automation Letters 2 (2), 468-475, 2017
[paper]
[paper]
A. L. P. Ureche and A. Billard. Constraints extraction from asymmetrical bimanual tasks and their use in coordinated behavior. Robotics and Autonomous Systems, 2017
Conference paper
Robin Ruede, Markus Müller, Sebastian Stüker, and Alex Waibel.
Enhancing Backchannel Prediction Using Word Embeddings
In Proceedings of INTERSPEECH, Stockholm, Sweden, 2017
D. Tome, C. Russell, L. Agapito, Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, 2017
[ CVPR2017-Tome ]
José Medina and Aude Billard, Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models. In Conference on Robot Learning (CoRL) , Mountain View, U.S.A., 2017
Lorenzo Porzi, Adrián Peñate-Sánchez, Elisa Ricci and Francesc Moreno-Noguer, Depth-Aware Convolutional Neural Networks for Accurate 3D Pose Estimation in RGB-D Images, IEEE Intelligent Robots and Systems (IROS), 2017
Martin Rünz and Lourdes Agapito, Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects, IEEE International Conference on Robotics and Automation (ICRA), May 2017
Workshop paper
Robin Ruede, Markus Müller, Sebastian Stüker, and Alex Waibel.
Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor.
In Proceedings of the Eight International Workshop on Spoken Dialogue System (IWSDS 2017), Pittsburgh PA, U.S.A., 2017
Under review
Francesco Puja, Simone Grazioso, Antonio Tammaro, Valsmis Ntouskos, Marta Sanzari, Fiora Pirri, Vision-based deep execution monitoring, submitted to arXiv.org, Sep 2017
[paper]
[paper]
2016
Journal paper
Mirko Wächter, Simon Ottenhaus, Manfred Kröhnert, Nikolaus Vahrenkamp, and Tamim Asfour
The ArmarX Statechart Concept: Graphical Programming of Robot Behaviour.
In Frontiers in Robotics and AI, 3:33, 2016.
J Carreira, S Vicente, L Agapito, J Batista, Lifting object detection datasets into 3D, IEEE transactions on pattern analysis and machine intelligence 38 (7), 1342-1355 8 2016
[paper]
Conference paper
Jan Niehues, Thai Son Nguyen, Eunah Cho, Thanh-Le Ha, Kevin Kilgour, Markus Müller, Matthias Sperber, Sebastian Stüker, and Alex Waibel.
Dynamic transcription for low-latency speech translation.
In The Proceedings of INTERSPEECH, San Fransisco, U.S.A., 2016.
[ Interspeech2016 ] [ bib | pdf ]
M. Kröhnert, R. Grimm, N. Vahrenkamp, and T. Asfour
Resource-aware motion planning.
In IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, May 2016.
[paper]
Fabrizio Natola, Valsamis Ntouskos, Fiora Pirri, and Marta Sanzari
Single image object modeling based on brdf and r-surfaces learning.
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, U.S.A., June, 2016.
Jose Medina, Felix Duvallet, Murali Karnam, and Aude Billard
A Human-Inspired Controller for Fluid Human-Robot Handovers.
In International Conference on Humanoid Robots, Cancun, Mexico, November, 2016.
[Humanoids2016]
Qi Liu-Yin, Rui Yu, Lourdes Agapito, Andrew Fitzgibbon, Chris Russell
Better Together: Joint Reasoning for Non-rigid 3D Reconstruction with Specularities and Shading
British Machine Vision Conference (BMVC) 2016.
BMVC 2016 Best Poster Award
[paper] [poster] [code] [dataset]
David Schiebener, Andreas Schmidt, and Tamim Asfour
Heuristic 3d object shape completion based on symmetry and scene context.
In IEEE/RAS International Conference on Intelligent Robots and Systems, Daejeon, Korea, October, 2016.
[IROS 2016]
N. Vahrenkamp, H. Arnst, M. Wächter, D. Schiebener, P. Sotiropoulos, M. Kowalik and T. Asfour, Workspace Analysis for Planning Human-Robot Interaction Tasks, IEEE/RAS International Conference on Humanoid Robots (Humanoids), pp. 1298 – 1303, Nov, 2016
[slides][paper]
N. Vahrenkamp, L. Westkamp, N. Yamanobe, E. E. Aksoy and T. Asfour, Part-based Grasp Planning for Familiar Objects, IEEE/RAS International Conference on Humanoid Robots (Humanoids), pp. 919 – 925, Nov, 2016
[paper]
S. Rader, L. Kaul, H. Fischbach, N. Vahrenkamp and T. Asfour, Design of a High-Performance Humanoid Dual Arm System with Inner Shoulder Joints, IEEE/RAS International Conference on Humanoid Robots (Humanoids), pp. 523 – 529, 2016
[paper]
S. Ottenhaus, M. Miller, D. Schiebener, N. Vahrenkamp and T. Asfour, Local Implicit Surface Estimation for Haptic Exploration, IEEE/RAS International Conference on Humanoid Robots (Humanoids), pp. 850 – 856, 2016
[paper]
L. Kaul, S. Ottenhaus, P. Weiner and T. Asfour, The Sense of Surface Orientation – A New Sensor Modality for Humanoid Robots, IEEE/RAS International Conference on Humanoid Robots (Humanoids), pp. 820 – 825, 2016
[paper]
Workshop paper
José Medina, Klas Kronander, and Aude Billard
Risk-sensitive Model Predictive Control for Reproducing Uncertain Dynamical Systems.
In Workshop on Dynamic Locomotion and Manipulation, E.T.H. Zurich, Switzerland, July 2016.
[ DLMC2016 ] [ bib | pdf ]
2015
Conference paper
Rui Yu, Chris Russell, Neill Campbell, and Lourdes Agapito
Direct, dense, and deformable: Template-based non-rigid 3d reconstruction from RGB video.
In IEEE International Conference in Computer Vision (ICCV), Santiago, Chile, December, 2015.
V. Ntouskos, M. Sanzari, B. Cafaro, F. Nardi, F. Natola, F. Pirri, and M. Ruiz Garcia
Component-wise modeling of articulated objects.
In IEEE International Conference in Computer Vision (ICCV), Santiago, Chile, December, 2015.
Fabrizio Natola, Valsamis Ntouskos, Marta Sanzari, and Fiora Pirri
Bayesian non-parametric inference for manifold based mocap representation.
In IEEE International Conference in Computer Vision (ICCV), Santiago, Chile, December, 2015.
M. Sanzari, F. Natola, F. Nardi, V. Ntouskos, M. Qudseya, and F. Pirri
Rigid tool affordance matching points of regard.
In Workshop “Learning object affordances: a fundamental step to allow prediction, planning and tool use?”, International Conference on Intelligent Robots and Systems (IROS),Hamburg, Germany, September, 2015.