In-hand object localization: Simple vs. complex tactile sensors

Andres S. Vazquez, Raul Fernandez, Antonio Lopez, Enrique Valero, Ismael Payo, Antonio Adán

Research output: Contribution to conferenceOtherpeer-review

6 Citations (Scopus)


How good is a tactile sensor for tactile exploration and in-hand object localization? In this paper we propose two methods that address this question. The first approach evaluates the usefulness of tactile data from different sensors by means of a Particle Filter Localization algorithm. The second approach, using an Iterative Closed Point algorithm, evaluates the synergy of tactile sensors and the geometry of robotic hands.We prove, using both approaches as a novelty, that the sensor complexity does not affect the localization performance drastically. In particular, we demonstrate that it is possible to obtain similar performance with a simple fingertip sensor, designed by us, than with more complex tactile sensors. A comparison, based on simulated data for an ideal sensor and experimental data for another three sensors, corroborates our proposal, showing the potential of our fingertip force sensor for tactile exploration and in-hand localization.
Original languageEnglish
Publication statusPublished - Nov 2014
EventIEEE SENSORS 2014 - Valencia, Spain
Duration: 2 Nov 20145 Nov 2014


ConferenceIEEE SENSORS 2014


Dive into the research topics of 'In-hand object localization: Simple vs. complex tactile sensors'. Together they form a unique fingerprint.

Cite this