★2023 7th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE 2023) ---Ei Compendex & Scopus—Call for paper
October 27-29, 2023｜Chengdu, China｜Website: https://www.iarce.org/

★IARCE 2023 presents researchers, engineers, and academics with an unprecedented opportunity to associate and interact with some of the foremost experts in the field of Industrial Automation, Robotics and Control Engineering from around the globe. IARCE 2023 aims to be the must-visit conference of the year for the field, and will be the ideal forum for the exchange of ideas and innovations that promise to change the face of the industry. For researchers, an engineers, or industry professionals, this conference could mark an important point in your career. 

★Publication and Indexing
Accepted and presented papers of IARCE 2023 will be published in digital conference proceeding, which will submitted to Ei Compendex, Scopus, CPCI, Google Scholar and other major databases for index.
Selected Papers from IARCE 2023 will be recommended to be submitted for publication in journal.

★Keynote Speakers
Prof. Huosheng Hu, University of Essex, UK

★Program Preview/ Program at a glance
October 27: Registration + Icebreaker Reception
October 28: Opening Ceremony+ KN Speech+ Technical Sessions
October 29: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1.Submit Via CMT: https://cmt3.research.microsoft.com/IARCE2022
2.Submit Via email directly to: iarce@hksra.org

★CONTACT US
Ms.Shirley R. L. Tse
Email: contact@iarce.org
Website:https://www.iarce.org/

Call for papers(http://www.iarce.org/cfp.html):

Mechatronics, Robotics, Automation

Information and computational engineering

Autonomous robots

Intelligent Autonomous Systems

Behavioral decision making

Intelligent Control Systems and Optimization

Classification

Intelligent Fault Detection

CNC

Intelligent Transportation

Command and control systems

Knowledge-based Systems Applications

Control system applications

Linear Control

Data analysis

Machine Learning in Control Applications

Data fusion and mining

Material

Decision support systems

Material Radar Absorber

Distributed decision making

Motor Drive

Disturbance Rejection

Mechatronics Systems

Dynamic systems modeling

Mobile Robots

Fault diagnosis

Modeling, Simulation and Architecture

Food Packaging

Nonlinear Control

High speed communication

Neural Networks based Control Systems