Autonomous Systems

An agent loop is a recurring cycle in AI systems where an agent perceives its environment, decides on actions, and executes them.

Agentic AI refers to artificial intelligence systems that can act autonomously and make decisions based on their environment.

An AI agent is a software entity that autonomously performs tasks or makes decisions based on its environment and data.

An Autonomous System is a technology capable of performing tasks without human intervention.

Autonomy Gradient refers to the measurement of an AI system's ability to make independent decisions.

A localization algorithm determines the position of a robot or device in a given environment using various data inputs.

Odometry is the process of estimating the position and movement of a vehicle using sensors and algorithms.

Omnidirectional Vision refers to the ability to perceive the environment in all directions simultaneously.

Path Planning is the process of determining a route for an agent to follow in a given environment.

Path tracking is a method used in AI and robotics to follow a predetermined route or trajectory.

A Planner Agent is an AI system that autonomously creates and executes plans to achieve specific goals.

Self-refinement is the process by which an AI system improves its own algorithms and performance over time.

Sensor fusion is the process of combining data from multiple sensors to improve accuracy and reliability.