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Virtual Reality via Object Poses and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities


Oct 18, 2022
Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel

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* Released as part of IROS 2022 late breaking results; the paper is under review at a journal 

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Bringing robotics taxonomies to continuous domains via GPLVM on hyperbolic manifolds


Oct 04, 2022
Noémie Jaquier, Leonel Rozo, Miguel González-Duque, Viacheslav Borovitskiy, Tamim Asfour

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Riemannian geometry as a unifying theory for robot motion learning and control


Sep 30, 2022
Noémie Jaquier, Tamim Asfour

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* Published as a blue sky paper at ISRR'22. 8 pages, 2 figures. Video at https://youtu.be/XblzcKRRITE 

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K-VIL: Keypoints-based Visual Imitation Learning


Sep 07, 2022
Jianfeng Gao, Zhi Tao, Noémie Jaquier, Tamim Asfour

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SpeedFolding: Learning Efficient Bimanual Folding of Garments


Aug 22, 2022
Yahav Avigal, Lars Berscheid, Tamim Asfour, Torsten Kröger, Ken Goldberg

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* IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 

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A Riemannian Take on Human Motion Analysis and Retargeting


Aug 02, 2022
Holger Klein, Noémie Jaquier, Andre Meixner, Tamim Asfour

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* Accepted for publication in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 

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Deep Learning Approaches to Grasp Synthesis: A Review


Jul 06, 2022
Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, J√ľrgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun

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* 21 pages. Submitted to T-RO 

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Conceptual Design of the Memory System of the Robot Cognitive Architecture ArmarX


Jun 05, 2022
Fabian Peller-Konrad, Rainer-Kartmann, Christian R. G. Dreher, Andre Meixner, Fabian Reister, Markus Grotz, Tamim Asfour

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Learning to Sequence and Blend Robot Skills via Differentiable Optimization


Jun 01, 2022
Noémie Jaquier, You Zhou, Julia Starke, Tamim Asfour

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* Accepted for publication in IEEE Robotics and Automation Letters. Video: https://youtu.be/00NXvTpL-YU, code: https://github.com/NoemieJaquier/sequencing-blending/ 

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Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels


Nov 02, 2021
Noémie Jaquier, Viacheslav Borovitskiy, Andrei Smolensky, Alexander Terenin, Tamim Asfour, Leonel Rozo

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* Published in the Conference on Robot Learning (CoRL) 2021. Source code: https://github.com/NoemieJaquier/MaternGaBO . Video: https://youtu.be/6awfFRqP7wA 

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