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Items: 8

1.

Vision for Robust Robot Manipulation.

Martinez-Martin E, Del Pobil AP.

Sensors (Basel). 2019 Apr 6;19(7). pii: E1648. doi: 10.3390/s19071648.

2.

A Biologically Inspired Approach for Robot Depth Estimation.

Martinez-Martin E, Del Pobil AP.

Comput Intell Neurosci. 2018 Aug 23;2018:9179462. doi: 10.1155/2018/9179462. eCollection 2018.

3.

Determinants for the success of regional ICT ventures: a close examination of South Korea.

Park E, Kim KJ, Kwon SJ, Ohm JY, Del Pobil AP, Yoo K.

Springerplus. 2016 Jul 11;5(1):1039. doi: 10.1186/s40064-016-2712-5. eCollection 2016.

4.

An active system for visually-guided reaching in 3D across binocular fixations.

Martinez-Martin E, del Pobil AP, Chessa M, Solari F, Sabatini SP.

ScientificWorldJournal. 2014 Feb 4;2014:179391. doi: 10.1155/2014/179391. eCollection 2014.

5.

Reaching for the Unreachable: Reorganization of Reaching with Walking.

Grzyb BJ, Smith LB, Del Pobil AP.

IEEE Trans Auton Ment Dev. 2013 Jun;5(2):162-172.

6.

When humanoid robots become human-like interaction partners: corepresentation of robotic actions.

Stenzel A, Chinellato E, Bou MAT, Del Pobil ÁP, Lappe M, Liepelt R.

J Exp Psychol Hum Percept Perform. 2012 Oct;38(5):1073-1077. doi: 10.1037/a0029493. Epub 2012 Aug 6.

PMID:
22866762
7.

Pose estimation through cue integration: a neuroscience-inspired approach.

Chinellato E, Grzyb BJ, del Pobil AP.

IEEE Trans Syst Man Cybern B Cybern. 2012 Apr;42(2):530-8. doi: 10.1109/TSMCB.2011.2168952. Epub 2011 Oct 20.

PMID:
22027389
8.

The neuroscience of vision-based grasping: a functional review for computational modeling and bio-inspired robotics.

Chinellato E, Del Pobil AP.

J Integr Neurosci. 2009 Jun;8(2):223-54. Review.

PMID:
19618488

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