●2021 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2021)-- Ei Compendex & Scopus—Call for papers 
November 7-9, 2021｜Chengdu, China｜Website: http://www.jcrai.org/

●JCRAI 2021 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Robotics and Artificial Intelligence can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field.

●Publication and Indexing
All accepted and registered papers will be published in IOP-Journal of Physics: Conference Series (JPCS), which will send to be Indexed by all major citation databases such as Ei Compendex, SCOPUS, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
Selected Papers from JCRAI 2021 will be published in journals.

●Keynote Speakers
Prof. Bruno SICILIANO, Università degli Studi di Napoli Federico II, Italy
Prof. Dr. Davide Scaramuzza, University of Zurich and ETH Zurich, Switzerland
Prof.Huei Peng, UNIVERSITY OF MICHIGAN, USA
Dr.Sven Kreiss, Visual Intelligence for Transportation VITA-EPFL, Switzerland

●Program Preview/ Program at a glance
November 7: Registration + Icebreaker Reception
November 8: Opening Ceremony+ KN Speech+ Technical Sessions
November 9: Technical Sessions+ Half day tour/Lab tours

●Paper Submission
1. Submit Via CMT: https://cmt3.research.microsoft.com/JCRAI2021
2. Submit Via email directly to: jcrai@hksra.org

●CONTACT US
Ms. Willa P. P. Wong
Email: jcrai@hksra.org
Website: http://www.jcrai.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