What makes a robot
A robot is a physical machine that senses or receives information, processes it, and acts through mechanical components. Sensors may measure position, force, distance, light, sound, or temperature; actuators move joints, wheels, grippers, or other parts.
Not every robot uses AI. Some follow fixed programs, some are remotely controlled, and others combine rules, control theory, machine learning, planning, and human supervision.
Perception, planning, and control
Perception estimates what is happening from imperfect sensor data. Planning selects a path or sequence of actions. Control turns that plan into continuous commands while correcting for motion and disturbances.
These layers operate at different speeds and may use different methods. Reliable physical behavior depends on their integration, not merely on one intelligent model.
Why embodiment changes risk
Software errors can become collisions, damaged equipment, injury, or environmental harm when connected to physical action. Robots therefore need tested operating limits, emergency stops, safe states, maintenance, and attention to the people sharing their environment.
Simulation can help development but cannot reproduce every material condition. Physical testing under controlled, progressively broader conditions remains important.
Machines, robots, and AI
A machine performs work; a robot is a machine with sensing and controlled action; AI is a family of computational methods that may be used inside either. These terms overlap but are not interchangeable.
A category describes how a system is built or used; it does not by itself prove accuracy, safety, intelligence, or consciousness. Real performance must be tested on the actual task and conditions of use.
Primary research and institutions
Sources are linked directly so readers can examine the underlying evidence. Numerical statements identify the reporting organization and year. Projections are presented as estimates, not established future facts.