activity
20132021
most citedA Flexible and Robust Large Scale Capacitive Tactile System for Robots

241 citations · 750 across the 37 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

cs.RO2017★ 9 cited

Markerless visual servoing on unknown objects for humanoid robot platforms

Claudio Fantacci, Giulia Vezzani, Ugo Pattacini +2

To precisely reach for an object with a humanoid robot, it is of central importance to have good knowledge of both end-effector, object pose and shape. In this work we propose a fr…

cs.RO2017★ 44 cited

Are we done with object recognition? The iCub robot's perspective

Giulia Pasquale, Carlo Ciliberto, Francesca Odone +2

We report on an extensive study of the benefits and limitations of current deep learning approaches to object recognition in robot vision scenarios, introducing a novel dataset use…

cs.CV2017★ 42 cited

Independent Motion Detection with Event-driven Cameras

Valentina Vasco, Arren Glover, Elias Mueggler +3

Unlike standard cameras that send intensity images at a constant frame rate, event-driven cameras asynchronously report pixel-level brightness changes, offering low latency and hig…

cs.RO2017★ 11 cited

Controlled Tactile Exploration and Haptic Object Recognition

Massimo Regoli, Nawid Jamali, Giorgio Metta +1

In this paper we propose a novel method for in-hand object recognition. The method is composed of a grasp stabilization controller and two exploratory behaviours to capture the sha…

cs.RO2017★ 9 cited

Visual end-effector tracking using a 3D model-aided particle filter for humanoid robot platforms

Claudio Fantacci, Ugo Pattacini, Vadim Tikhanoff +1

This paper addresses recursive markerless estimation of a robot's end-effector using visual observations from its cameras. The problem is formulated into the Bayesian framework and…