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A robot is a machine that can sense its environment, process information, and take action — often autonomously or semi-autonomously. Modern robots combine mechanical engineering (the body), electronics (the nervous system), and software / AI (the brain). They range from industrial arms welding cars to tiny surgical bots operating inside blood vessels.
Actuators are the 'muscles' of a robot — they convert energy into movement. Electric motors are most common; hydraulic actuators provide enormous force; pneumatic actuators use compressed air for speed. Degrees of Freedom (DoF) measure how many independent ways a robot can move. A human arm has ~7 DoF; advanced robotic arms can match or exceed this.
Robots perceive the world through sensors: cameras for vision, ultrasonic sensors for proximity, LiDAR for 3-D mapping, gyroscopes for orientation, force/torque sensors for touch sensitivity, and GPS/IMU for positioning. Sensor fusion — combining multiple sensor inputs — gives robots a richer picture of their environment.
Traditional robots followed fixed rules. AI-powered robots learn. Reinforcement learning lets robots improve through trial and reward — Boston Dynamics' Atlas learned to backflip this way. Computer vision enables object recognition; natural language processing powers voice-controlled assistants. ROS (Robot Operating System) is the open-source middleware that ties all these components together.
Cobots (collaborative robots) are designed to work safely alongside humans. They use force-sensing to stop immediately on contact, making them safe without safety cages. 3-D printing allows rapid prototyping of robot parts using PLA or ABS plastic. Swarm robotics — inspired by ants and bees — coordinates hundreds of simple robots to complete complex tasks collectively.
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