Robots are designed to perform repetitive tasks with high precision and accuracy, freeing humans from mundane and potentially dangerous jobs.

Industrial robots are designed for repetitive tasks in manufacturing environments, such as welding, assembly, and packaging.

Kinematics is the study of robot movement, focusing on the relationships between the robot's joints and its position and orientation in space.

Ultrasonic sensors, infrared sensors, and laser scanners are all commonly used for obstacle detection in robots, providing different advantages and disadvantages in terms of range, accuracy, and cost.

Machine learning is the ability of a robot to learn from data and improve its performance over time without being explicitly programmed.

Social robots are designed to interact with humans in a natural and intuitive way, often using natural language processing and computer vision to understand and respond to human speech and gestures.

Kinematic model, dynamic model, and control model are all mathematical models that describe different aspects of a robot's behavior, including its motion, forces, and control inputs.

Military robots are designed for use in hazardous environments such as nuclear power plants or bomb disposal, where human intervention is dangerous or impossible.

Perception is the ability of a robot to perceive and understand its environment using sensors such as cameras, microphones, and laser scanners.

Medical robots are designed for use in medical applications such as surgery or rehabilitation, where they can provide precision and accuracy beyond human capabilities.

Decision-making is the ability of a robot to make decisions and take actions based on its perception of the environment, often using artificial intelligence algorithms.

Space robots are designed for use in space exploration missions, where they can perform tasks such as sample collection, satellite repair, and planetary exploration.

Navigation is the ability of a robot to move and navigate its environment, often using sensors such as cameras, laser scanners, and GPS.

Agricultural robots are designed for use in agricultural applications such as harvesting or crop monitoring, where they can increase efficiency and reduce labor costs.

Natural language processing, computer vision, and speech recognition are all technologies that enable robots to communicate with humans and other robots.