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Robotics engineering is a branch of engineering that focuses on the conception, design, manufacturing, and operation of robots.It involves a multidisciplinary approach, drawing primarily from mechanical, electrical, software, and artificial intelligence (AI) engineering.
This cover of I, Robot illustrates the story "Runaround", the first to list all Three Laws of Robotics.. The Three Laws of Robotics (often shortened to The Three Laws or Asimov's Laws) are a set of rules devised by science fiction author Isaac Asimov, which were to be followed by robots in several of his stories.
The following outline is provided as an overview of and topical guide to robotics: . Robotics is a branch of mechanical engineering, electrical engineering and computer science that deals with the design, construction, operation, and application of robots, as well as computer systems for their control, sensory feedback, and information processing.
The term comes from a Slavic root, robot-, with meanings associated with labor. The word "robot" was first used to denote a fictional humanoid in a 1920 Czech-language play R.U.R. (Rossumovi Univerzální Roboti – Rossum's Universal Robots) by Karel Čapek, though it was Karel's brother Josef Čapek who was the word's true inventor.
Mechatronics engineering, also called mechatronics, is an interdisciplinary branch of engineering that focuses on the integration of mechanical engineering, electrical engineering, electronic engineering and software engineering, [1] and also includes a combination of robotics, computer science, telecommunications, systems, control, automation and product engineering.
Robotics is the interdisciplinary study and practice of the design, construction, operation, and use of robots. [1] Within mechanical engineering, robotics is the design and construction of the physical structures of robots, while in computer science, robotics focuses on robotic automation algorithms.
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.
2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.