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Robotic process automation (RPA) is a form of business process automation that is based on software robots (bots) or artificial intelligence (AI) agents. [1] RPA should not be confused with artificial intelligence as it is based on automation technology following a predefined workflow. [ 2 ]
Intelligent automation (IA), or intelligent process automation, is a software term that refers to a combination of artificial intelligence (AI) and robotic process automation (RPA). [1] Companies use intelligent automation to cut costs and streamline tasks by using artificial-intelligence-powered robotic software to mitigate repetitive tasks. [ 1 ]
They can, for instance, generate an automatic transcript from a video. The combination of automation and artificial intelligence (AI) enables autonomy for the robots, along with the capability to perform cognitive tasks. [6] [self-published source] At this stage, the robot can learn and improve processes by analyzing and adapting them. [7]
Cognitive Robotics or Cognitive Technology is a subfield of robotics concerned with endowing a robot with intelligent behavior by providing it with a processing architecture that will allow it to learn and reason about how to behave in response to complex goals in a complex world.
The use of automation in manufacturing started by using technologies such as pneumatic and hydraulic systems in applications where their mechanical advantages could be used to raise output quality and efficiency in production. [8] Complex and highly integrated systems have since evolved, composed of procedures with sophisticated operation ...
Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
Adaptable robotics systems successfully adapt to their environment using techniques such as modular design, machine learning, and sensor feedback. Using this, they have revolutionized various industries and can address many real-world challenges in the medical, industrial, extraterrestrial, and experimental fields. There are still many ...
The Society states in its constitution that it "is interested in both applied and theoretical issues in robotics and automation.Robotics is here defined to include intelligent machines and systems used, for example, in space exploration, human services, or manufacturing; whereas automation includes the use of automated methods in various applications, for example, factory, office, home, or ...