Glossary

This glossary provides definitions for some of the key terms and acronyms used in this program.

• AI (Artificial Intelligence): The theory and development of computer systems able to perform tasks that normally require human intelligence.

• SLAM (Simultaneous Localization and Mapping): A method used by robots and autonomous vehicles to build a map of an unknown environment while simultaneously keeping track of their location within it.

• NLP (Natural Language Processing): A field of AI that helps computers understand, interpret, and manipulate human language.

• RL (Reinforcement Learning): An area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward.

• ROS (Robot Operating System): A flexible framework for writing robot software. It is a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of robotic platforms.

• HRI (Human-Robot Interaction): A field of study dedicated to understanding, designing, and evaluating robotic systems for use by or with humans.

• DQN (Deep Q-Network): A type of RL algorithm that uses a deep neural network to approximate the optimal action-value function.