Virtual sensors

D Martin, N Kühl, G Satzger - Business & Information Systems Engineering, 2021 - Springer
Information systems increasingly link to the physical world. Technological advancements
and declining unit costs of sensor technology combined with increased connectivity drive the …

Bidirectional multi-modal signs of checking human-robot engagement and interaction

U Maniscalco, P Storniolo, A Messina - International Journal of Social …, 2022 - Springer
The anthropomorphization of human-robot interactions is a fundamental aspect of the
design of social robotics applications. This article describes how an interaction model based …

Using Artificial Intelligence on environmental data from Internet of Things for estimating solar radiation: Comprehensive analysis

IN Kosovic, T Mastelic, D Ivankovic - Journal of Cleaner Production, 2020 - Elsevier
Solar radiation measurements are highly important for achieving energy efficiency in smart
buildings as well as solar energy production. They are commonly acquired with pyranometer …

Roboception and adaptation in a cognitive robot

A Augello, S Gaglio, I Infantino, U Maniscalco… - Robotics and …, 2023 - Elsevier
In robotics, perception is usually oriented at understanding what is happening in the external
world, while few works pay attention to what is occurring in the robot's body. In this work, we …

Validating IoT Devices with Rate-Based Session Types

G Iraci, CE Chuang, R Hu, L Ziarek - Proceedings of the ACM on …, 2023 - dl.acm.org
We develop a session types based framework for implementing and validating rate-based
message passing systems in Internet of Things (IoT) domains. To model the indefinite …

An effective soft computing technology based on belief-rule-base and particle swarm optimization for tipping paper permeability measurement

B Qian, QQ Wang, R Hu, ZJ Zhou, CQ Yu… - Journal of Ambient …, 2019 - Springer
This paper proposes a soft computing technology based on belief rule base (BRB) system
for the tipping paper permeability measurement in tobacco factory. In current studies about …

The effects of soft somatosensory system on the execution of robotic tasks

A Augello, I Infantino, U Maniscalco… - 2017 First IEEE …, 2017 - ieeexplore.ieee.org
Nowadays there is a growing interest in the design and implementation of robots capable of
exhibiting sophisticated behaviours, taking part in social interactions, expressing and …

An innovative yield learning model considering multiple learning sources and learning source interactions

TCT Chen, CW Lin - Computers & Industrial Engineering, 2019 - Elsevier
Existing yield learning models do not separate the effects of different learning sources or
consider the interactions among the sources. To address this problem, a multisource-with …

Artificial pleasure and pain antagonism mechanism in a social robot

A Galipó, I Infantino, U Maniscalco, S Gaglio - … Multimedia Systems and …, 2018 - Springer
The goal of the work is to build some Python modules that allow the Nao robot to emulate a
somatosensorial system similar to the human one. Assuming it can perceive some feelings …

An artificial pain model for a humanoid robot

U Maniscalco, I Infantino - … Multimedia Systems and Services 2017 10, 2018 - Springer
The primary aim of this paper is to give to a humanoid robot the sense of pain. That because
the pain is one of the ways to which we protect our body. Thus, we consider that a humanoid …