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Chapter 16 sections
Robotics has evolved from rigid, task-specific machines to intelligent, adaptive systems.
The field encompasses a wide range of applications in industries, homes, defense, and research.
There are significant differences between traditional and intelligent robots in terms of their functionality and interaction with humans.
Current research frontiers include AI, perception, navigation, and soft robotics.
The essential components that form the architecture of advanced robotic systems include mechanical structure, sensors, and control algorithms.
Intelligent machines that can sense, decide, and act in dynamic environments, as opposed to classical robots that perform predefined tasks in controlled settings.
The design and study of robots that can understand and respond to human communication, including speech and gestures.
A subfield of robotics that examines how large groups of simple robots can collaborate to accomplish complex tasks.
Robotics using flexible and bio-inspired materials to create robots that can safely interact with humans.
An algorithmic approach that allows a robot to map its surroundings while keeping track of its own location within that map.