Difference between revisions of "Citations"

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(Object recognition using conv-nets)
(Object recognition using conv-nets)
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== Object recognition using conv-nets ==
 
== Object recognition using conv-nets ==
  
Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale, Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn? [http://arxiv.org/abs/1504.03154]
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Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale, Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn? [http://arxiv.org/abs/1504.03154 | arvix link]
  
 
== motionCUT: detecting independent motion ==
 
== motionCUT: detecting independent motion ==

Revision as of 14:41, 27 July 2015

If you are using the iCub and or one of its components (hardware or software library) we warmly recommend you cite the following corresponding papers.

The iCub Platform and software middleware

  • This paper describes the iCub platform:

Metta, G., Natale, L., Nori, F., Sandini, G., Vernon, D., Fadiga, L., von Hofsten C., Santos-Victor, J., Bernardino, A. and Montesano, L., The iCub Humanoid Robot: An Open-Systems Platform for Research in Cognitive Development, Neural Networks, Volume 23, pp. 1125-1134, 2010.

  • This paper describes the YARP middelware:

Fitzpatrick, P., Metta, G., and Natale, L., Towards Long-Lived Robot Genes, Robotics and Autonomous Systems, Volume 56, Issue 1, pp. 29-45, Elsevier 2008.

  • This paper describes the iCub simulator:

Tikhanoff V., Cangelosi A., Fitzpatrick P., Metta G., Natale L., and Nori F., “An open-source simulator for cognitive robotics research: The prototype of the iCub humanoid robot simulator,” in Proc. IEEE Work- shop Perform. Metrics Intell. Syst., Washington, DC, 2008.

Skin System

  • The latest skin system that uses fabric dielectric has been described here:

Maiolino, P., Maggiali, M., Cannata, G., Metta, G., Natale, L., A Flexible and Robust Large Scale Capacitive Tactile System for Robots, IEEE Sensors Journal, vol. 13, no. 10, pp. 3910-3917, 2013.

  • This paper describes the fingertips:

Schmitz A., Maiolino P., Maggiali M., Natale L., Cannata G., Metta G., Methods and Technologies for the Implementation of Large Scale Robot Tactile Sensors, IEEE Transactions on Robotics, Volume 27, Issue 3, pp. 389-400, 2011.

  • This paper deals with the double- (or self-) touch:

Roncone A., Hoffmann M., Pattacini U., Metta G., Automatic kinematic chain calibration using artificial skin: self-touch in the iCub humanoid robot, IEEE International Conference on Robotics and Automation (ICRA2014), IEEE pp.2305-2312, Hong Kong, China, May 31-June 7, 2014.

Active compliance, joint torque sensing and external forces

Fumagalli, M., Ivaldi, S., Randazzo, M., Natale, L., Metta, G., Sandini, G., Nori, F., Force feedback exploiting tactile and proximal force/torque sensing, Autonomous Robots, Volume 33, pp. 381-398, Springer 2012.

iKin: inverse kinematics, Cartesian control and movement planning

  • This paper describes the Cartesian controller:

Pattacini, U., Nori, F., Natale, L., Metta, G. and Sandini, G., An experimental evaluation of a novel minimum-jerk cartesian controller for humanoid robots, IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, October 18-22, 2010.

  • This work reports on the Gaze controller:

Pattacini U., Modular Cartesian Controllers for Humanoid Robots: Design and Implementation on the iCub, Ph.D. Dissertation, RBCS, Istituto Italiano di Tecnologia, 2011.

  • This paper describes the Gaze stabilization:

Roncone, A. , Pattacini, U. , Metta, G. and Natale, L., Gaze Stabilization for Humanoid Robots: a Comprehensive Framework, IEEE/RAS International Conference on Humanoid Robots, Madrid, Spain, November 18-20, 2014.

  • This work presents the learning of eye-hand coordination:

Fanello S.R., Pattacini U., Gori I., Tikhanoff V., Randazzo M., Roncone A., Odone F. & Metta G. 3D Stereo Estimation and Fully Automated Learning of Eye-Hand Coordination in Humanoid Robots, IEEE/RAS International Conference on Humanoid Robots, Madrid, Spain, November 18-20, 2014.

Vision

Object recognition using conv-nets

Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale, Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn? | arvix link

motionCUT: detecting independent motion

Ciliberto, C., Pattacini, U., Natale, L., Nori, F., Metta, G., Reexamining Lucas-Kanade Method for Real-Time Independent Motion Detection: Application to the iCub Humanoid Robot, IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, USA, September 25-30, 2011.

Exploring affordances and tool use

Tikhanoff, V., Pattacini, U., Natale, L., Metta, G., Exploring affordances and tool use with the iCub, IEEE/RAS International Conference on Humanoid Robots, Atlanta, GA, USA, October 15-17, 2013.