[robotics-worldwide] [journals] CFP: Special Issue for the journal Mathematical Problems in Engineering (MPE) with focus on Advanced Mathematical Methods for Collaborative Robotics

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[robotics-worldwide] [journals] CFP: Special Issue for the journal Mathematical Problems in Engineering (MPE) with focus on Advanced Mathematical Methods for Collaborative Robotics

José de Gea Fernández
We invite submissions to a special issue for the Journal Mathematical
Problems in Engineering (MPE) with focus on Advanced Mathematical Methods
for Collaborative Robotics.


About the journal:


Mathematical Problems in Engineering (MPE) is a journal with an impact
factor of 0,802 (2016). It is included in two knowledge lists:

- Engineering, Multidisciplinary where it is the 59th journal out of 85 (Q3)

- Mathematics, Interdisciplinary Applications where it is the 73rd out of
100 (Q3)



About the Special Issue:


Nowadays, humans and robots are not able to share the same workspace in
industrial applications and, hence, tasks are performed by humans or robots
depending on the required dexterity and repeatability. But the new trend in
industry for the next years is that humans and robots work hand in hand,
where humans could increase production flexibility and accelerate
adaptation, while robots could contribute to speed-up production and
increase repeatability and quality.


The main feature of human-robot collaboration is that there will be no
physical separation between humans and robots and they will work in the same
workstations, with no safety fencing. To accomplish this, manufacturers are
currently releasing a new generation of robots specially designed for
coworking and equipped with multiple sensors: force and torque sensors,
vision systems, and so forth.


From the scientific point of view, this framework represents a new
challenging engineering scenario for the researchers in order to develop new
advanced mathematical algorithms and methods to provide the robot with the
level of intelligence required to successfully accomplish the complex
collaborative tasks.


This special issue is a good opportunity to contribute to this new exciting
field. In particular, the issue is focused on advanced methods with strong
theoretical and mathematical foundations for the engineering problem of
collaborative robotics. The articles published in this theme could have a
high impact on readers.


Potential topics include but are not limited to the following:


- Mathematical tools for the engineering problem of human-robot

- Mathematical methods for robot coworking and bimanual manipulation

- Control theory for collaborative robotics: sliding mode control, nonlinear
control, robust control, fuzzy control, and so forth

- Formulations of expert systems for collaborative robotics

- Mathematical algorithms for robot learning

- Artificial intelligence for collaborative robots

- Advanced algorithms for force control of collaborative robots

- Mathematical methods for big data and sensor fusion in collaborative


Authors can submit their manuscripts through the Manuscript Tracking System



Submission Deadline: Friday, 23 February 2018

Publication Date: July 2018


Papers are published upon acceptance, regardless of the Special Issue
publication date.


Guest Editors:


- Luis Gracia, Technical University of Valencia, Valencia, Spain

- Carlos Perez-Vidal, Miguel Hernandez University, Elche, Spain

- Kaspar Althoefer, Queen Mary University of London, London, UK

- Jaime Valls-Miro, University of Technology Sydney, Sydney, Australia

- Jose de Gea Fernandez, German Research Center for Artificial Intelligence
(DFKI), Bremen, Germany


Dr.-Ing. José de Gea Fernández
Senior Researcher
Team Leader „Robot Control“

Robotics Innovation Center
Robert-Hooke-Str. 1
28359 Bremen, Germany

Tel.: +49 421 178 45-4112
Central: +49 421 178 45-0
Fax: +49 421 178 45-4150

Further information: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.dfki.de_robotik&d=DwIFAw&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=GeyhcrE4d0avSX3dHpdBz-ecSjVhJO4l5SXmcLQPT9M&s=L2AencAkc7SiT_W8fvQ8Fp6FnnJwzwVe8t1FShuGJW0&e=
Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH
Firmensitz: Trippstadter Straße 122, D-67663 Kaiserslautern
Geschaeftsfuehrung: Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster
(Vorsitzender) Dr. Walter Olthoff
Vorsitzender des Aufsichtsrats: Prof. Dr. h.c. Hans A. Aukes
Amtsgericht Kaiserslautern, HRB 2313
Sitz der Gesellschaft: Kaiserslautern (HRB 2313)
USt-Id.Nr.: DE 148646973
Steuernummer: 19/673/0060/3


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