Synergy Between AI and Robotics: A Comprehensive Integration

Abstract

The emergence of artificial intelligence is mostly linked to software-driven robotic systems, including mobile robots, unmanned aerial aircraft, and, to a growing extent, semi-autonomous automobiles. Nevertheless, the significant disparity between the algorithmic realm and the physical realm hinders current systems from achieving the desired outcome of creating intelligent and user-friendly robots that can effectively engage with and manipulate our human-centric environment. The nascent field of machine intelligence (MI), which combines robotics and artificial intelligence, strives to develop reliable and embodiment-aware artificial intelligence systems. These systems possess self-awareness and an understanding of their environment, enabling them to adapt to the interacting body they are operating. The incorporation of artificial intelligence (AI) and robotics into control, perception, and machine-learning systems is necessary for the realization of fully autonomous intelligent systems in our everyday existence. This review provides an overview of the historical development of machine intelligence, tracing its origins to the twelfth century. It then proceeds to examine the present state of robotics and artificial intelligence (AI), discussing significant systems and contemporary research directions. Additionally, the article outlines the remaining challenges in these fields and speculates on the potential future of human-machine interactions that has yet to be realized.

The USA - China robotics competition: Leading the race in innovation and global power

“…Latency is one of the main concerns of robotics developers as it greatly limits robots. However, it is a reliable mobile network that can make it possible to introduce artificial intelligence into robots, so the robot will navigate much better in space and carry out any activity without special programming (Ness et al, 2023). In general, the development of robotics as an industry is influenced by the telecommunications sector, since the availability of the Internet, the number of cellular subscribers, etc.…”

The Role of AI in Cyber Security: Safeguarding Digital Identity

“…These algorithms also perform predictive analysis, allowing security experts to anticipate and avoid security breaches before they occur. This shift in AI practices has led to a surge in popularity in areas like natural language processing [1].…”

“…AI appliances offer new opportunities for reliable connections and secure net-work monitoring, but they also raise concerns about cybercrime. Cybercriminals often exploit the modularity of AI to create fear in the automatic industry by using techniques designed to keep the system invincible [1]. The modularity of AI can be exploited, and the operationalization can be tailored to threats, destruction, and risk rather than security, safety, and thriving situations.…”

“…Factors such as the immense leap in computation capability, the inseparability of IOT technologies in almost all industries, and business digitization through big data analytics stand for the utility of AI-based solutions. Nevertheless, on the road of artificial intelligence, technologies increasingly prevail, and questions about the security of society and the welfare of humanity are on a parallel rise [1].…”

Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances

“…[11]. Other kinds of AI perform different optimizations, including those of design and production of goods, telecommunications [12] and traffic [13], sensing [14], aerospace [15] but also basically all branches of engineering [16][17][18], industry [19], customer services [20], banking and finance [21] including the stock market [22], but also cryptocurrencies and blockchain technology [23], education [24], robotics [25], military [26] and, obviously, scientific research [27]. It appears that practically no area of humanity is left entirely without AI.…”