Industrial Robotics: An industrial robot is defined as an automatically controlled, reprogrammable, multipurpose manipulator programmable in three or more axes. The field of robotics may be more practically defined as the study, design, and use of robot systems for manufacturing. 

Intelligent Robotics: Intelligent robotics are robots that function as intelligent machines, that is, they can be programmed to take actions or make choices based on input from sensors.

Medical Robotics: Replacing humans with robots in personal assistance tasks is one of the more prominent goals of medical robotics. In addition to promoting the right to health care, these robotic systems may bring about novel ways of protecting the dignity of both patients and their human assistants, by taking on unpleasant tasks (e.g., house cleaning), and allowing disabled or elderly people to perform basic everyday tasks (e. g., cooking, eating or self-cleaning tasks) without having to rely on humans’ assistance.

Neurorobotics: Neurorobotics are robotic devices that have control systems based on the principles of the nervous system. These models operate on the premise that the “brain is embodied, and the body is embedded in the environment.

Social Robotics: Social robotics is an autonomous robot that interacts and communicates with humans or other autonomous physical agents by following social behaviors and rules attached to its role. This definition suggests that a social robot must have a physical embodiment.

Telerobotics: Telerobotics is the area of robotics concerned with the control of semi-autonomous robots from a distance, chiefly using wireless networks (like Wi-Fi, Bluetooth, the Deep Space Network, and similar) or tethered connections. It is a combination of two major subfields, teleoperation, and telepresence.

Lovotics: Lovotics aims to elevate social robotics and human-robot interaction towards affection and friendship between the robot and the human partner. The aim of the journal is to serve as a platform for researchers across the world to share their latest research, development, and innovation in the field of Lovotics, for the benefit of the robotics community and with the vision to contribute to the betterment of society.

Robotic Rehabilitation: Robotic Rehabilitation is a field of the research described as understanding and augmenting rehabilitation through the application of robotic devices. Rehabilitation robotics includes the development of robotic devices tailored for assisting different sensor motor functions.

Automation: Automation or automatic control, is the use of various control systems for operating equipment such as machinery, processes in factories, boilers and heat-treating ovens, switching in telephone networks, steering, and stabilization of ships, aircraft, and other applications with minimal or reduced human intervention. Some processes have been completely automated.

Automated Mining: Automated mining involves the removal of human labor from the mining process. The mining industry is in the transition toward automation. It can still require a large amount of human capital, particularly in the Third World where labor costs are low so there is less incentive for increasing efficiency.

Behavior-based systems: Most behavior-based systems are also reactive, which means they need no programming of internal representations of what a chair looks like, or what kind of surface the robot is moving on. Instead, all the information is gleaned from the input of the robot’s sensors. The robot uses that information to gradually correct its actions according to the changes in the immediate environment. Behavior-based robots (BBR) usually show more biological-appearing actions than their computing-intensive counterparts, which are very deliberate in their actions. A BBR often makes mistakes, repeats actions, and appears confused, but can also show the anthropomorphic quality of tenacity. Comparisons between BBRs and insects are frequent because of these actions. BBRs are sometimes considered examples of weak artificial intelligence, although some have claimed they are models of all intelligence.

Digital Image Processing: Digital Image Processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing.

Mobile Device: A mobile device is a small computing device, typically small enough to be handheld (and hence also commonly known as a handheld computer or simply handheld) having a display screen with touch input and/or a miniature keyboard. Most handheld devices can also be equipped with Wi-Fi, Bluetooth, NFC, and GPS capabilities that can allow connections to the Internet and other devices, such as an automobile or a microphone headset, or can be used to provide location-based services.

Artificial Intelligence: Artificial intelligence is the branch of computer science concerned with making computers behave like humans. The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages and philosophy is the study of the fundamental nature of knowledge, reality, and existence, especially when considered as an academic discipline.

Fuzzy Logic: Fuzzy Logic is a form of many-valued logic that deals with approximate, rather than fixed and exact reasoning. Compared to traditional binary logic, fuzzy logic variables may have a truth value that ranges in degrees between 0 and 1.

Neural Networks: Neural Network is defined as an artificial intelligence technique that mimics the operation of the human brain (nerves and neurons) and comprises densely interconnected computer processors working simultaneously.

Swarm Intelligence and Robotics: swarm intelligence and robotics is another way to deal with the coordination of multi-robot frameworks which comprise substantial quantities for the most part basic physical robots. It is assumed that coveted aggregate conduct arises out of the cooperation between the robots and the connections of robots with nature. This methodology developed in the field of simulated swarm insight, and in addition the organic investigations of creepy crawlies, ants, and different fields in nature, where swarm conduct happens.