A few videos issued from various research projects. These videos are also shown in the research section, along with longer discussions of the research they illustrate.
Learning prototypical parts by which objects are often grasped, to the end of grasping novel objects.
Video illustrating the capabilities of a robot that learned how to grasp via the method illustrated in the video directly below. Download this video in MP4/H.264 or WebM/VP8, or view it on Youtube.
@inproceedings{detry2013a,
author = {Renaud Detry and Carl Henrik Ek and Marianna Madry and Danica Kragic},
booktitle = {{IEEE} International Conference on Robotics and Automation},
doi = {10.1109/ICRA.2013.6630635},
title = {Learning a Dictionary of Prototypical Grasp-predicting Parts from Grasping Experience},
year = {2013}}
The robot learns what it feels like to grasp an object. This way, it can abort a grasp that feels unstable before lifting up (and potentially breaking) the object.
@inproceedings{bekiroglu2011d,
author = {Yasemin Bekiroglu and Renaud Detry and Danica Kragic},
booktitle = {{IEEE/RSJ} International Conference on Intelligent Robots and Systems},
doi = {10.1109/IROS.2011.6094878},
title = {Learning Tactile Characterizations Of Object- And Pose-specific Grasps},
year = {2011}}
@inproceedings{hyttinen2015a,
author = {Emil Hyttinen and Danica Kragic and Renaud Detry},
booktitle = {{IEEE} International Conference on Robotics and Automation},
doi = {http://dx.doi.org/10.1109/ICRA.2015.7139883},
title = {Learning the Tactile Signatures of Prototypical Object Parts for Robust Part-based Grasping of Novel Objects},
year = {2015}}
@article{detry2011a,
author = {R. Detry and D. Kraft and O. Kroemer and L. Bodenhagen and J. Peters and N. Krüger and J. Piater},
doi = {10.2478/s13230-011-0012-x},
journal = {Paladyn.\ Journal of Behavioral Robotics},
number = {1},
pages = {1--17},
title = {Learning Grasp Affordance Densities},
volume = {2},
year = {2011}}
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