Technologies Supporting Artificial Intelligence and Robotics Application Development




artificial intelligence, robotics, machine learning, education


Artificial intelligence (AI) and robotics have gone through three generations of development, from Turing test, logic theory machine, to expert system and self-driving car. In the third-generation today, AI and robotics have collaboratively been used in many areas in our society, including industry, business, manufacture, research, and education. There are many challenging problems in developing AI and robotics applications. We launch this new Journal of Artificial Intelligence and Technology to facilitate the exchange of the latest research and practice in AI and technologies. In this inaugural issue, we first introduce a few key technologies and platforms supporting the third-generation AI and robotics application development based on stacks of technologies and platforms. We present examples of such development environments created by both industry and academia. We also selected eight papers in the related areas to celebrate the foundation of this journal.


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Author Biographies

Yinong Chen, Arizona State University, USA and Faculty Ambassador, Amazon Web Services at ASU, USA

Yinong Chen is currently a principal lecturer in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. He received his doctorate from the University of Karlsruhe/Karlsruhe Institute of Technology (KIT), Germany, in 1993. He did postdoctoral research at Karlsruhe and at LAAS-CNRS in France in 1994 and 1995. From 1994 to 2000, he was a lecturer and then senior lecturer in the School of Computer Science at the University of the Witwatersrand, Johannesburg, South Africa. Chen joined Arizona State University in 2001. He’s (co-) authored 10 textbooks and more than 200 research papers. He is the editor-in-chief of the Journal of Artificial Intelligence and Technology and on the editorial boards of several journals, including Journal of Systems and Software, Simulation Modeling Practice and Theory, and International Journal of Simulation and Process Modelling. Chen’s areas of expertise include software engineering, service-oriented computing, robotics and artificial intelligence (AI), visual programming, dependable computing, and computer science education.

Gennaro De Luca, Arizona State University, USA

Gennaro De Luca is currently a lecturer in the Polytechnic School at Arizona State University. He received his Ph.D. from Arizona State University in May 2020. His research areas include visual programming, artificial intelligence systems, reasoning, and process calculi. His doctoral research focused on the application of AI reasoning techniques for semantic analysis of workflow programs. He was the first-prize winner in July 2016 Intel Cup in Shanghai, a finalist in Intel Cornell Cup, May 2016 in Orlando, and a finalist in Microsoft Imagine Cup March 2016 in San Francisco.




How to Cite

Chen, Y., & Gennaro De Luca. (2021). Technologies Supporting Artificial Intelligence and Robotics Application Development. Journal of Artificial Intelligence and Technology, 1(1), 1–8.