Table of ContentsCore Disciplines of AcademiaRelationship to Applied DisciplinesState-Funded R&DUnited KingdomRussiaFranceJapanIsraelIndiaConclusionCore Disciplines of AcademiaThe disciplines listed below are essential to the development of autonomy and work collaboratively across disciplines to produce results and innovations.Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”? Get the original essay AI – Broadly and loosely defined as the science of making intelligent machines. AI is an aspect of computer science and has historically focused on problem solving. Robotics – This is a field of engineering and technology focused on the design and construction of robots. It is an intersection of mechanical engineering, computer science and electrical engineering. Control Theory – It provides a theoretical basis for how automation works in various systems, as well as in robotics in general. Control theory has given rise to important concepts like closed-loop feedback control.Relationship with Applied DisciplinesThese applied disciplines introduce a practical aspect to innovations and enable them to have a multi-dimensional understanding of its environment.Biology - The World natural has always been a central interest of Artificial Intelligence. AI researchers aim to use insights from biology to improve decision-making in automatic cognition in machines. Psychology: Human psychology provides essential references for the development and testing of automatic cognition. Linguistics – Considering that language is one of the most fascinating and complex human activities, dissecting linguistics can help researchers better understand how the human brain works and, therefore, improve their AI prototypes . Government-funded R&DUnited States of America The United States began investing in AI and robotics in the 1950s and became the pioneer of R&D in this area. field. The Ministry of Defense focuses on 4 priorities in the development of autonomous weapons, namely: a) improving human-machine interaction, b) advancing machine cognition and perception, c) the association of autonomous systems, d) the creation of new V&V procedures. projects include: TRACE (Target Recognition and Adaptation in Contested Environments), CwC (Communicating with Computers), CODE (Collaborative operations in wanted environments), CARACas (Control Architecture for Robotic Agent Command and Sensing), SMET (Squad MultiPurpose Equipment Transport) . The UK is the largest investor in military R&D in all of Europe. QinetiQ and DSTL are organizations responsible for the majority of research in the UK. These organizations have addressed issues such as computer vision, swarming, and autonomous navigation for unmanned systems. RussiaRussia's R&D efforts in the field of AI are primarily based on the military domain. Russia is known for focusing first on military technology and, after success, adopting the technology for civilian purposes. Russia aims to emulate the United States in weapons technology, investing billions of dollars in extensive research. Russia has tried to accelerate its projects by creating synergy between various institutions working on AI and robotics, and allowing them to work together effectively and share important information. Russia aims to develop all.