Robotics & Automation Engineering Journal (RAEJ)

The Robotics & Automation Engineering Journal is an Open Access, international peer reviewed online journal which is providing a platform to researchers, scientists, engineers and professionals throughout the world to publish the latest creations, future challenges and exciting applications of intelligent and self-ruling robots. RAEJ is aiming to push the bounds of robotics into a new aspect, in which motion and skills play equally important roles. The term Robotic automation refers to the automation of industrial and clerical processes using robots, of various forms. Robotic automation software refers to a class of software products used in that latter, clerical, context. Robotic process automation is the application of technology that allows employees in a company to configure computer software or a robot to capture and illustrate existing applications for processing a transaction, managing data, provoke responses and communicating with other digital systems. The journal covers a wide range of topics including robot design, control systems, artificial intelligence integration, industrial robotics, and autonomous systems. It also emphasizes emerging technologies such as robotic process automation, machine learning applications, and human–robot interaction. The aim of the journal is to explore future challenges and developments in robotics, pushing the boundaries of automation in both industrial and service sectors. RAEJ publishes various types of manuscripts including original research articles, review papers, mini reviews, and technical reports. It encourages interdisciplinary research combining mechanical engineering, computer science, and electronics. The journal supports rapid dissemination of research findings and promotes innovation in automation technologies that enhance productivity and efficiency across industries worldwide.

Robotics & Automation Engineering Journal (RAEJ) is :-

• International, Peer-Reviewed, Open Access, Refereed, Robotics Engineering, Automation & Control Systems, Artificial Intelligence in Robotics, Industrial Automation, Mechatronics & Embedded Systems, Robotic Process Automation (RPA), Machine Learning & Intelligent Systems, robot design, control systems, artificial intelligence integration, industrial robotics, autonomous systems, robotic process automation, machine learning applications, human–robot interaction , Online , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2577-2899, Established: 2017,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE