Videos

This page presents my work with a few videos. The videos shown below are also presented in the research section, along with longer discussions of the research they illustrate.

Part-based Grasp Generalization↑top

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.

Video illustrating the part learning process. Download this video in MP4/H.264 or WebM/VP8, or view it on Youtube.

Please cite:

detry2013a 
R. Detry, C. H. Ek, M. Madry and D. Kragic, Learning a Dictionary of Prototypical Grasp-predicting Parts from Grasping Experience. In IEEE International Conference on Robotics and Automation, 2013.
doidoi; pdfpdf; bibtexshow/hide bibtex

Grasping Using Tactile And Visual Data↑top

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.

Video illustrating pose- and touch-based grasp stability estimation. Download this video in MP4/H.264 or WebM/VP8, or view it on Youtube.

Please cite:

bekiroglu2011d 
Y. Bekiroglu, R. Detry and D. Kragic, Learning Tactile Characterizations Of Object- And Pose-specific Grasps. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.
doidoi; pdfpdf; bibtexshow/hide bibtex
hyttinen2015a 
E. Hyttinen, D. Kragic and R. Detry, Learning the Tactile Signatures of Prototypical Object Parts for Robust Part-based Grasping of Novel Objects. In IEEE International Conference on Robotics and Automation, 2015.
doidoi; pdfpdf; bibtexshow/hide bibtex

Grasp Densities↑top

Learning grasp affordance models through autonomous interaction. More information.

Video illustrating the grasp learning process. Download this video in MP4/H.264 or Ogg/Theora, or view it on Youtube.

Please cite:

detry2011a 
R. Detry, D. Kraft, O. Kroemer, L. Bodenhagen, J. Peters, N. Krüger and J. Piater, Learning Grasp Affordance Densities. In Paladyn. Journal of Behavioral Robotics, 2 (1): 1–17, 2011.
doidoi; pdfpdf; bibtexshow/hide bibtex

Page last modified: November 07, 2017 Valid HTML5 and CSS