Special Issue "Applications of Multisensory Fusion for Automation and Control of Robotic Systems"
Deadline for manuscript submissions: 31 August 2021.
Interests: multi-sensor fusion; control systems; robotics and mechatronic systems; autonomous vehicles; UAV's; aerial manipulation; humanoids
Interests: multi-sensor fusion; systems modeling and analysis; control systems; robotics and mechatronic systems; autonomous vehicle; UAV's; aerial manipulation
For decades, the tasks assigned to robots have constantly evolved to give birth to today's robots, that which participate more and more in the daily life of humans. The robots of yesteryear were very heavy manipulators, static and confined in factories to perform repetitive tasks in often familiar and static environments. Today's robots are increasingly mobile, independent, intelligent, and autonomous to provide more services that were, not so long ago, pure science fiction. The continuous improvement of their autonomy and efficiency has enabled their implementation in many fields such as transportation, medicine, construction, agriculture, and human services. Advances in sensor technologies and their integration into intelligent devices and systems have accelerated the increase in the autonomy and efficiency of robotic systems, enabling them to perform tasks that are more complex.
In this Special Issue, we invite original review and research papers addressing multi-sensor integration and fusion for the control of robotic systems such as UAVs, humanoid robots, collaborative robots, robotic manipulators, aerial manipulators, automated vehicles, etc.
Topics of interest include, but are not limited to, the following:
- Advanced robotics
- Advances in robotic applications
- Advances in perception and control
- Multi-sensor system design
- Integration of sensors in control systems
- Position and localization systems
- Sensor technique in robotic applications
- Sensor-based robot navigation, task, and motion planning
- Sensor integration and fusion for positioning and navigation
- Flight control and surveillance systems
- Guidance control systems
- Intelligent transportation systems
- Locomotion and manipulation in robot systems
Prof. Dr. Abdelaziz Benallegue
Dr. A. El Hadri
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.
- Robot sensing and data fusion
- Perception systems
- Robust control systems
- Nonlinear control systems
- Smart sensors
- Fusion techniques
- Multisensory integration and fusion
- Vision-based sensing
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: Building reliable control applications with wireless communication technologies. Application to robotic systems
Authors: Oscar Barambones <[email protected]>
Affiliation: Department of System Engineering and Automation, Faculty of Engineering of Vitoria, University of the Basque Country, UPV/EHU. Nieves Cano 12, 1006 Vitoria, Spain
Abstract: Wireless communications introduce several benefits in industrial environments such as flexibility, low cost, simple deployment or mobility. The problem of mobility is particularly interesting in a robotic system because usually the movement of the rotating joints are limited due to the wired connections. However, the introduction of wireless communications in critical applications is challenging due to several issues that can reduce the QoS of the applications (e.g. interferences). As a result, packages may be delayed or lost, being possible to appear communication blackouts. For this reason, the design of wireless control algorithms must be faced in a holistic way, i.e. taking into account the behavior of the wireless communication links. This paper proposes diverse mechanisms to achieve reliable wireless control systems. These mechanisms are aimed at guaranteeing the performance of the control systems, even when the QoS of the communication links. In the article complex control algorithms are implemented, which require higher performance computational platforms, not suitable to be used at the edge nodes. Several experiments are presented in order to analyze the behavior of the control application under different circumstances. These experiments were tested over diverse control algorithms and plants like DC motors usually employed in robotics. In this work, XBee technology was used, and the control algorithms were implemented in LabVIEW. The results proved that the introduction of these mechanisms may improve the performance of the control system, allowing the use of wireless communications even in critical control applications.
Title: Biosignal-based Human-Machine Interfaces for Assistance and Rehabilitation: a survey
Authors: Daniele Esposito 1,2,* Jessica Centracchio 1 Emilio Andreozzi 1,2 Gaetano D. Gargiulo 3,4 Ganesh R. Naik 3,4,* and Paolo Bifulco 1,2
Affiliation: 1. Department of Electrical Engineering and Information Technologies, Polytechnic and Basic Sciences School, University of Naples “Federico II”, Naples, Italy
2. Department of Neurorehabilitation, IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy.
3. School of Computing, Engineering and Mathematics, Western Sydney University, Penrith-2747, NSW, Aus-tralia.
4. The MARCS Institute, Western Sydney University, Penrith, NSW 2751, Australia.
Abstract: A Human-Machine Interface (HMI) enables a person to interact with a device. Starting from very simple equipments, in the last decades, the availability of novel techniques and unobtrusive de-vices for biosignals monitoring paved the way for a new class of HMIs, which take such biosignals as inputs to control various kinds of applications. Different biosignals have been proposed to ena-ble the interaction with hardware and software machines: bio-potentials (such as electromyogra-phy or electroencephalography); muscle mechanical activity (such as mechano-myography, force-myography); body motion (such as joint motion, hand gesture, eye movements) and also their combinations (hybrid systems). These biosignal-based HMIs can provide a more natural way to interact with a machine, also in industrial or automotive settings, but above all they have the invaluable merit of enabling these interactions also for people with disabilities that prevent the use of standard HMIs. Indeed, many assistive and rehabilitation technologies make use of biosig-nal-based HMIs. Glaring examples are prostheses, orthoses, rehabilitation devices, robotic appli-ances, exoskeletons, electrical stimulators, but even rehabilitative exergames make use of such HMIs. This review article provides a comprehensive survey of biosignal-based HMIs proposed for assistive and rehabilitation applications.