Emanuele Luberto — accepted AI-conference papers

2017

Enhancing Adaptive Grasping Through a Simple Sensor-Based Reflex Mechanism

Emanuele Luberto, Yier Wu, Gaspare Santaera, Marco Gabiccini, Antonio Bicchi

RA-L 2017

This paper presents an approach to achieve adaptive grasp of unknown objects whose position is only approximately known via point-cloud data. We exploit the adaptability of a soft robotic hand which can autonomously conform to the shape of a grasped object if properly approached. Once a grasp approa

Cited by 10 Source ↗Scholar ↗

2015

Low-cost, fast and accurate reconstruction of robotic and human postures via IMU measurements

Gaspare Santaera, Emanuele Luberto, Alessandro Serio, Marco Gabiccini, Antonio Bicchi

ICRA 2015poster

In this paper, we present a method to reconstruct the configurations of kinematic trees of rigid bodies not using measurements of relative angles (such as, e.g. rotary encoders at joints) but absolute posture sensors (such as IMUs) along with suitable filter algorithms. We argue that the relatively…

Cited by 63 Source ↗Scholar ↗