Artificial Intelligence: Evolution, Developments, Applications, and Future Scope

Raj, Ravi

doi:10.15199/48.2023.02.01

Cited by 11 publications

(6 citation statements)

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“…As AI technology quickly advances, robotics is becoming more sophisticated and effective in doing activities that were previously considered extremely challenging and complicated. MRs are capable of being autonomous, which means they can do tasks without human assistance by combining AI technology with robots [48]. To enhance the efficiency of MRs' reactive navigation, a variety of AI approaches, including RL, fuzzy logic, neural networks, and evolutionary algorithms, can be used.…”

Section: Fuzzy Logic Controllersmentioning

confidence: 99%

Discussion on different controllers used for the navigation of mobile robot

Raj,

Kos

2024

International Journal of Electronics and Telecommunications

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Robots that can comprehend and navigate their surroundings independently on their own are considered intelligent mobile robots (MR). Using a sophisticated set of controllers, artificial intelligence (AI), deep learning (DL), machine learning (ML), sensors, and computation for navigation, MR's can understand and navigate around their environments without even being connected to a cabled source of power. Mobility and intelligence are fundamental drivers of autonomous robots that are intended for their planned operations. They are becoming popular in a variety of fields, including business, industry, healthcare, education, government, agriculture, military operations, and even domestic settings, to optimize everyday activities. We describe different controllers, including proportional integral derivative (PID) controllers, model predictive controllers (MPCs), fuzzy logic controllers (FLCs), and reinforcement learning controllers used in robotics science. The main objective of this article is to demonstrate a comprehensive idea and basic working principle of controllers utilized by mobile robots (MR) for navigation. This work thoroughly investigates several available books and literature to provide a better understanding of the navigation strategies taken by MR. Future research trends and possible challenges to optimizing the MR navigation system are also discussed.

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Section: Fuzzy Logic Controllersmentioning

confidence: 99%

Discussion on different controllers used for the navigation of mobile robot

Raj,

Kos

2024

International Journal of Electronics and Telecommunications

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“…Artificial Intelligence is a scientific and engineering discipline that focuses on the creation and study of computational systems capable of emulating intelligent behaviours [13]. It encompasses a wide range of techniques, methods, and approaches, as in Error!…”

Section: Artificial Intelligencementioning

confidence: 99%

AI in Educational Technology

Zhao

2023

Preprint

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This article focuses on artificial intelligence in educational technology, starting with an introduction to educational technology, an interdisciplinary field of study that covers the design, development, utilization, and evaluation of technology and digital tools in educational Settings. A detailed description of its definition in an academic context - a multidisciplinary field of computer science and cognitive science that deals with the development of computational systems that exhibit intelligent behaviour, describing its areas of coverage and scope of application. It then introduces the benefits of AI in education technology, specifically addressing personalized learning, adaptive learning systems, automated scoring and feedback, virtual tutors and chatbots, data analytics, as well as content recommendations and natural language processing, accessibility and inclusion. Then it introduces the main concepts of AI personalized learning: AI personalized learning uses the power of artificial intelligence to meet the unique needs and preferences of individual learners, as well as its key principles and main characteristics. Adaptive learning systems harness the power of artificial intelligence and data analytics to tailor the learning experience to each student's needs and abilities, as well as its core principles and strengths. It also introduces the main operating principles of automated grading and feedback: it uses artificial intelligence and computer algorithms to evaluate and evaluate student assignments, tests and exams without the direct involvement of human graders, and its associated benefits. Secondly, the main concepts of virtual tutor are introduced: Virtual tutor is a computer-based system that uses artificial intelligence and machine learning algorithms to provide students with personalized and interactive educational support and its key characteristics and main advantages, and then the nature and benefits of chatbots and help in the field of education. The final conclusion summarizes the benefits and future challenges of integrating AI into educational technology.

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“…In 1880, visible light communication (VLC) systems were proposed by Alexander Graham Bell in Washington, D.C., where speech was transmitted with sunlight over hundreds of meters [2]. However, the first demonstration of a VLC system was conducted in Japan ( 2004) with a high-speed communication system that used photodiodes.…”

Section: Introductionmentioning

confidence: 99%

“…Because of the increasing demands placed on wireless communication systems (such as speed, reliability, and security), the developers of wireless communication technologies are focusing on light wave communication due to the benefits of light waveforms. Accordingly, optical wireless communication (OWC) is expected to become a crucial wireless technology in the near future.In 1880, visible light communication (VLC) systems were proposed by Alexander Graham Bell in Washington, D.C., where speech was transmitted with sunlight over hundreds of meters [2]. However, the first demonstration of a VLC system was conducted in Japan ( 2004) with a high-speed communication system that used photodiodes.…”

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confidence: 99%

Enabling Technologies and New Challenges in IEEE 802.15.7 Optical Camera Communications Standard

Nguyen,

Krishna Yoga Utama,

Jang

2024

IEEE Commun. Mag.

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In this article, we present a tutorial on recent optical camera communication (OCC) technologies that deploy light-emitting diodes (LEDs) and image sensors. The article contains a discussion on the amendment of the IEEE 802.15.7-2018 standard, termed the IEEE 802.15.7a (TG7a) Higher Rate, Longer Range OCC Task Group, which has a significant influence on the advancement of OCC technology. In addition, the tutorial article presents the enabling technical issues in TG7a and a comparison with the existing standard. The current status, new challenges, and future directions of research and development are also discussed. IntroductIonCommunication systems based on radio frequencies (RFs) have experienced substantial growth over the last decade. Qualcomm, the telecommunication company, predicts that upcoming wireless communication technologies will need to increase their capacity by a factor of a thousand [1]. However, conventional RF systems may not be able to adequately match the expected network traffic growth in the future. Hence, there is a need to explore innovative solutions that can operate within spectra that require no license (e.g., light waves). Light waves are situated at the higher end of the electromagnetic spectrum, do not contain any electromagnetic radiation, and have a bandwidth that extends considerably beyond the entire RF spectrum. Moreover, light waveforms support remarkable line of sight (LoS) separation features and can provide economical augmented-reality user experiences. Because of the increasing demands placed on wireless communication systems (such as speed, reliability, and security), the developers of wireless communication technologies are focusing on light wave communication due to the benefits of light waveforms. Accordingly, optical wireless communication (OWC) is expected to become a crucial wireless technology in the near future.In 1880, visible light communication (VLC) systems were proposed by Alexander Graham Bell in Washington, D.C., where speech was transmitted with sunlight over hundreds of meters [2]. However, the first demonstration of a VLC system was conducted in Japan ( 2004) with a high-speed communication system that used photodiodes.

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Artificial Intelligence: Evolution, Developments, Applications, and Future Scope

Cited by 11 publications

References 0 publications

Discussion on different controllers used for the navigation of mobile robot

Discussion on different controllers used for the navigation of mobile robot

AI in Educational Technology

Enabling Technologies and New Challenges in IEEE 802.15.7 Optical Camera Communications Standard

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