Special Issue "Sensors for Robotic Applications"
Deadline for manuscript submissions: 31 December 2022.
Interests: robotics and industrial automation; control; simulation
Today, robots not only work in structured, well-known environments to perform repetitive tasks precisely and accurately; they also need to know information about themselves through the use of proprioceptive sensors on which the control feedbacks close.
The digital transformation of industry allows the continuous adjustment and reaction to unforeseen disturbing events of production systems through digital twin and similar technologies, and requires the intelligent sensorization of robots and resources for remote monitoring.
Today, robots are increasingly playing a role in our daily life and in civil society. They are called upon to do housework, to help and extend the social life of the elderly and the weak, to protect the environment, to keep worrying climatic events under control, and to help workers and people in a variety of tasks.
In new industrial and service applications, robots have to become familiar with and interact with the environments in which they operate and cooperate.
Robots are sometimes required to carry out, remotely supervised or autonomously, typical human tasks in extreme environments that are hostile and dangerous. Therefore, they must be endowed with the inspection, measuring, and testing capabilities typical of that task.
These applications require the heavy use of exteroceptive sensors and perceptive skills to recognize the environment and guide interaction activities, safeguarding the sustainability of the environment and human health.
The aim of this Special Issue is to collect experimental and theoretical papers covering different aspects and modalities of sensing applications in the wide industrial and service robotics domain.
Prof. Dr. Rezia Molfino
Dr. Francesco Cepolina
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- proprioceptive sensors
- exteroceptive sensors
- intelligent sensorization
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: The implementation and evaluation of individual preference in robot facial expression based on emotion estimation using biological signals
Authors: Peeraya Sripian, Muhammad Nur Adilin Mohd Anuardi, Jiawei Yu, and Midori Sugaya
Affiliation: Shibaura Institute of Technology, Tokyo, Japan
Abstract: Recently, robot services have been widely applied to many fields. To provide optimum service, it is essential to maintain a good impression of the robot. Similar to human-human communication, if a robot could interpret human emotion and display some expression in responding to such emotion could lead to more effective interaction with users. Our previous works attempt to implement the expression by synchronizing the estimated human’s emotion onto the robot facial expression. For instance, the robot would show a sad face when it senses that the user was feeling sad. However, the latter experiment result revealed that it could pose different perceptions according to individual preferences. In this study, we focus on improving the robot’s impression by changing the robot’s expression according to the emotion of its interacting partner by considering individual preferences. The emotion is estimated using biological information. First, we evaluated the individual differences in the robot impression. The robot changes the expression according to three conditions; synchronized with the estimated emotion, inversely synchronized, and funny expression. During the experiment, the participants would give feedback toward the robot’s expression by choosing whether they “like” or “dislike” the expression. We investigated individual differences in the impression of robot expression using the SD method as subjective evaluation. At the same time, logistic regression is used to create a classification model by considering individual differences based on biological data and feedback from each participant. From the analysis, we found that the robot expression from inverse synchronization when the participants feel negative emotion could result in impression differences among individual. Then, the robot’s expression is determined based on the classification model created, and the SD method on the impression of the robot was compared with the three conditions. Overall, we found that the participants favored the most when the robot expression was determined based on individual differences