activity
20152021
most citedROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking

25 citations · 54 across the 3 of their papers we have counts for

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Showing cs.ROShow all

5 papers · 1 filter

cs.RO2021

iCub

Lorenzo Natale, Chiara Bartolozzi, Francesco Nori +2

In this chapter we describe the history and evolution of the iCub humanoid platform. We start by describing the first version as it was designed during the RobotCub EU project and…

cs.RO2021

In Situ Translational Hand-Eye Calibration of Laser Profile Sensors using Arbitrary Objects

Prajval Kumar Murali, Ines Sorrentino, Angelo Rendiniello +8

Hand-eye calibration of laser profile sensors is the process of extracting the homogeneous transformation between the laser profile sensor frame and the end-effector frame of a rob…

cs.RO2020

Task Planning with Belief Behavior Trees

Evgenii Safronov, Michele Colledanchise, Lorenzo Natale

In this paper, we propose Belief Behavior Trees (BBTs), an extension to Behavior Trees (BTs) that allows to automatically create a policy that controls a robot in partially observa…

cs.RO2019

Analysis and Exploitation of Synchronized Parallel Executions in Behavior Trees

Michele Colledanchise, Lorenzo Natale

Behavior Trees (BTs) are becoming a popular tool to model the behaviors of autonomous agents in the computer game and the robotics industry. One of the key advantages of BTs lies i…

cs.RO20159 cited

Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?

Giulia Pasquale, Carlo Ciliberto, Francesca Odone +2

The ability to visually recognize objects is a fundamental skill for robotics systems. Indeed, a large variety of tasks involving manipulation, navigation or interaction with other…