sensors-logo

Journal Browser

Journal Browser

Special Issue "State-of-Art in Sensors for Robotic Applications"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Prof. Dr. Salvatore Pirozzi
E-Mail Website
Guest Editor
Dipartimento di Ingegneria, Università degli Studi della Campania “Luigi Vanvitelli”, Via Roma, 29, 81031 Aversa (CE), Italy
Interests: design and modelling of innovative sensors, in particular, of tactile solutions, as well as interpretation and fusion of data acquired from the developed sensors; development of models for tactile sensors and algorithms for the tactile data interpretation and for slipping detection and avoidance; modeling and control of smart actuators for active noise and vibration control.
Special Issues and Collections in MDPI journals
Prof. Dr. Gianluca Palli
E-Mail Website
Guest Editor
Università di Bologna—DEI, Viale del Risorgimento 2, 40136 Bologna, Italy
Interests: robotic manipulation; robotic hands; design and control of robotic manipulators; underwater robotics; force/tactile sensors; compliant actuation; mobile manipulation; manipulation of deformable objects
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In many robotic applications, the successful execution of a task strongly depends on the knowledge of environment features. For example, in a grasping and manipulation task, the objects’ geometrical and physical characteristics produce fundamental information for a possible automatization. For the implementation of a human–robot collaborative task, the interaction is possible only through suitable sensing systems. To address these issues, but also for many other cases, robotic systems are frequently equipped with a high number of sensing devices, both standard and innovative, which measurements are used as inputs both for model-based control systems and machine learning systems. The latter systems are developed more and more, in order to increase the autonomy level of the robots. This Special Issue will present how sensing systems integrated in robotic systems can be used with recent techniques of sensor fusion, in order to allow the automatization of new challenging tasks.

This Special Issue invites (but is not limited to) contributions on the following topics:

  • Sensor technologies for robotic applications
  • Sensor modeling for robotic applications
  • Data interpretation for robotic applications
  • Grasping and manipulation
  • Dexterous manipulation
  • Object features recognition for robotic applications
  • Physical human–robot interactions
  • Human–machine interfaces

Prof. Dr. Salvatore Pirozzi
Dr. Gianluca Palli
Guest Editors

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 2200 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.

Keywords

  • Sensor technologies for robotic applications
  • Sensor modelling for robotic applications
  • Data interpretation for robotic applications
  • Grasping and manipulation
  • Dexterous manipulation
  • Object features recognition for robotic applications
  • Physical human robot interaction
  • Human machine interfaces

Related Special Issue

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
Tell Me, What Do You See?—Interpretable Classification of Wiring Harness Branches with Deep Neural Networks
Sensors 2021, 21(13), 4327; https://doi.org/10.3390/s21134327 - 24 Jun 2021
Viewed by 312
Abstract
In the context of the robotisation of industrial operations related to manipulating deformable linear objects, there is a need for sophisticated machine vision systems, which could classify the wiring harness branches and provide information on where to put them in the assembly process. [...] Read more.
In the context of the robotisation of industrial operations related to manipulating deformable linear objects, there is a need for sophisticated machine vision systems, which could classify the wiring harness branches and provide information on where to put them in the assembly process. However, industrial applications require the interpretability of the machine learning system predictions, as the user wants to know the underlying reason for the decision made by the system. We propose several different neural network architectures that are tested on our novel dataset to address this issue. We conducted various experiments to assess the influence of modality, data fusion type, and the impact of data augmentation and pretraining. The outcome of the network is evaluated in terms of the performance and is also equipped with saliency maps, which allow the user to gain in-depth insight into the classifier’s operation, including a way of explaining the responses of the deep neural network and making system predictions interpretable by humans. Full article
(This article belongs to the Special Issue State-of-Art in Sensors for Robotic Applications)
Show Figures

Figure 1

Back to TopTop