Robotics

Action refers to a specific task or operation performed by an AI system to achieve a desired outcome.

An action model is a framework that defines how an agent can take actions in an environment to achieve specific goals.

Agent architecture refers to the underlying framework that defines how an AI agent perceives, reasons, and acts in its environment.

A collection of tools and resources for developing AI agents.

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

An autonomous robot is a machine that can perform tasks without human intervention.

Autonomous weapons are military systems that can select and engage targets without human intervention.

A Behavior Tree is a hierarchical model used in AI for controlling behavior in games and robotics.

Cloud robotics combines cloud computing and robotics to enhance robotic capabilities and data processing.

Control theory is a mathematical framework for modeling and regulating dynamic systems to achieve desired performance.

A Default Policy is a preset rule used by AI systems to handle situations not explicitly defined in their programming.

Depth estimation is the process of determining the distance of objects from a viewpoint, often using images or videos.

Dexterous Manipulation refers to the ability of robots or AI systems to perform complex tasks with precision using their manipulators.

Domain Randomization is a technique used in AI to improve the robustness of models by varying training environments.

Ego-Centric Vision refers to a viewpoint where perception is centered around the observer's perspective.

Embodied AI refers to artificial intelligence systems integrated into physical robots or avatars that interact with the real world.

An Executor Agent is an AI component that performs tasks and executes commands based on predefined rules or instructions.

An Extended Kalman Filter is an algorithm used for estimating the state of a nonlinear dynamic system.

A fiducial point is a reference marker used in various fields for alignment and measurement.

A Finite State Controller is a computational model that manages states and transitions in systems, commonly used in AI and robotics.

Forward kinematics is a method used in robotics and animation to determine the position of a system's end effector based on joint parameters.

Inverse Kinematics is a mathematical method used to calculate joint angles needed for a robotic arm or character to reach a specific position.

Jetson Nano is a compact AI computer by NVIDIA, designed for deep learning and robotics applications.

Jetson Orin is NVIDIA's advanced AI platform designed for robotics and edge computing.

Jetson Xavier is a powerful AI computing platform designed for autonomous machines and advanced robotics.

A kinematic chain is a series of interconnected links that create movement through joints.

Locomotion is the movement ability of an organism or machine from one place to another.

Manipulation robotics involves robots designed for handling, moving, and interacting with objects in various environments.