Exploring AI and Robotics Concepts

What is artificial intelligence (AI)?

• Artificial intelligence (AI) is a type of computer hardware.

• Artificial intelligence (AI) is the simulation of human intelligence in machines.

• Artificial intelligence (AI) refers to the study of human emotions.

• Artificial intelligence (AI) is the ability of machines to perform physical tasks.

Define robotics in your own words.

• Robotics is the study of human anatomy.

• Robotics is the technology that creates and utilizes robots to perform tasks.

• Robotics involves programming computers to play games.

• Robotics is the art of building furniture.

What are the main components of a robot?

• Sensors, actuators, control system, power source, communication system.

• Wheels, chassis, engine, paint, dashboard

• Microphone, speaker, keyboard, monitor, mouse

• Battery, software, display, joystick, antenna

Explain the difference between AI and machine learning.

• Machine learning is a type of AI that does not require data.

• AI and machine learning are the same thing with no differences.

• Machine learning is a subset of robotics, not AI.

• AI is the overarching field that includes various technologies, while machine learning is a specific approach within AI that uses data-driven learning.

What is a neural network?

• A neural network is a physical network of neurons in the human body.

• A neural network is a simple algorithm used for sorting data.

• A neural network is a type of computer virus that spreads through networks.

• A neural network is a computational model made up of interconnected nodes that process information, inspired by the human brain.

Name one application of AI in everyday life.

• Virtual assistants (e.g., Siri, Google Assistant)

• Social media algorithms

• Weather forecasting

• Online shopping recommendations

What is the Turing Test?

• A method for programming computers to think like humans.

• An evaluation of a machine's speed in processing data.

• The Turing Test is a measure of a machine's ability to exhibit human-like intelligence.

• A test to measure a human's intelligence.

Describe the role of sensors in robotics.

• Sensors enable robots to perceive and interact with their environment.

• Sensors only function in outdoor environments.

• Sensors are used solely for data storage in robots.

• Sensors replace the need for programming in robotics.

What is the purpose of an actuator in a robot?

• To control the robot's software systems.

• To provide sensory feedback to the robot.

• To convert energy into motion and enable movement.

• To store energy for later use.

How does reinforcement learning work?

• Reinforcement learning requires a fixed set of actions that cannot change.

• Reinforcement learning only uses historical data for decision-making.

• Reinforcement learning is based on pre-defined rules without any interaction.

• Reinforcement learning works by having an agent learn optimal actions through interactions with an environment, receiving rewards or penalties to improve its decision-making.