Major Subfields of AI - Robotics

 Robotics is a major subfield of AI that deals with designing, constructing, and operating robots to carry out different jobs without or with minimal human intervention. It integrates AI with engineering to develop smart machines that can perceive, think, and engage with their environment. It also includes computer vision, machine learning, and control systems.

Fundamental Elements of Robotics

• Creating the various mechanical components of a robot, from the design to the assembly of the actuators and the sensors, is fundamental to the construction and design of a robot.
• Robots apply various tools and techniques, such as sensors and computer vision, to perceive and understand the world around them, which is essential for navigation and recognizing objects.
• Robots must improve their performance using statistical learning. Autonomous decision-making constitutes a complex cognitive skill that can be learned through trial and error.
• Robots must be able to execute a sequence of tasks and control their movement and balance through software and algorithm control which allows them to automate control performance and execute a sequence of tasks.
• Human-robot systems can use natural language processes for voice command recognition and other techniques for interaction to provide intuitive control and collaboration of a robot with a human.
• Robots can be programmed to create paths that link two locations and to navigate complex environments through a process of selection.