[robotics-worldwide] [journals] Special issue "Sensors and Perception Systems for Mobile Robot Navigation" - Sensors MDPI journal IF 3.031

Dario Guastella - UniCT dario.guastella at dieei.unict.it
Mon Jul 22 03:46:33 PDT 2019

(We apologize if you receive multiple copies of this announcement)

Dear Colleagues,

Sensors are a crucial part of a robotic system, since they provide the 
necessary information to make the system itself aware of its own status 
and to properly interact with its surrounding environment. The overall 
sensing system constitutes a block of a general robotic system 
architecture which is typically referred to as perception. The term 
perception encloses a wide variety of solutions including both sensing 
devices and information extraction from the raw data.

It can be easily figured out how closely related the perception and the 
intended application of the robotic system are. The perception block 
design changes whether it has to be employed on a manipulator or a 
mobile platform, or depending on the type of environment considered, 
e.g. indoor or outdoor. On the other hand, the adoption of improved 
devices and sensing technologies has opened up a wider range of 
applications and to perform more complex tasks, which could not be 
addressed with earlier solutions.

In this Special Issue, you are invited to submit contributions 
describing the development of novel perception approaches for navigation 
in mobile robotics applications. Innovative processing algorithms, 
theoretical studies and experimental results on real vehicles are also 
welcomed. Particular emphasis will be given to exteroceptive sensors, 
which help a robot to be aware of its surrounding environment.

Potential topics include, but are not limited, to the following:

     Localization sensors for mobile robots
     Situation-awareness sensors for robots
     Terrain reconstruction sensors
     Sensor fusion algorithms
     Signal processing algorithms for sensors measurements
     Microelectromechanical systems (MEMS) based sensors for mobile 

Deadline for manuscript submissions: 30 November 2019

Guest Editors

Prof. Dr. Giovanni Muscato
Dr. Luciano Cantelli
Dr. Dario Calogero Guastella

For further reading, please follow the journal Sensors (ISSN 1424-8220, 
IF 3.031) link to the Special Issue Website at:


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 1800 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.


     sensor fusion algorithms
     sensing technologies

Kind Regards,
Dario Guastella

Ph.D. Dario Guastella - Research Fellow
Dipartimento di Ingegneria Elettrica, Elettronica e Informatica
Università degli Studi di Catania
viale A. Doria 6 - 95125, Catania (Italy)

tel: +39 095 738 2333 (DIEEI Lab)
e-mail: dario.guastella -at- dieei.unict.it

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