★2021 5th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE 2021) ---Ei Compendex & Scopus—Call for paper
June 18-20, 2021｜Chengdu, China｜Website: http://www.iarce.org/

★IARCE 2021 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 2021 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
All accepted papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc. 
Selected Papers from IARCE 2021 will be published in Journal of Robotics.

★Keynote Speakers
Prof.Anthony G Cohn, University of Leeds, UK

★Program Preview/ Program at a glance
June 18: Registration + Icebreaker Reception
June 19: Opening Ceremony+ KN Speech+ Technical Sessions
June 20: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1.PDF version submit via CMT: https://cmt3.research.microsoft.com/IARCE2021
2.Submit Via email directly to: iarce@hksra.org

★CONTACT US
Ms.Hailey R. Wu
Email: iarce@hksra.org
Website:http://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