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.

Autonomous Climbing↑top

Beautiful video of a field test we ran in Death Valley in December 2018:

• https://spectrum.ieee.org/automaton/robotics/robotics-hardware/video-friday-nasa-lemur-robot
• https://www.youtube.com/watch?v=q2SKa9IEG4M

Part-based Grasp Generalization↑top

Learning prototypical parts by which objects are often grasped, to the end of grasping novel objects.

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.
doi; pdf; show/hide bibtex

@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}}

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.

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.
doi; pdf; show/hide bibtex

@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}}

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.
doi; pdf; show/hide bibtex

@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}}

Grasp Densities↑top

Learning grasp affordance models through autonomous interaction. More information.

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.
doi; pdf; show/hide bibtex

@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}}