AI & Robotics

SA1 Prep

Cobots

Robots designed to work safely alongside humans in a shared workspace.

Robotic system components

The parts of a robot including sensors, actuators, controllers, and power supply that work together to perform tasks.

Visualisation

The process of imagining or drawing how a robot or its parts will look before making it.

Design

Planning and creating detailed drawings or models of robot components.

Integration of Robots

Connecting and assembling all robot components so they work together properly.

Decision Making

The ability of machines to choose the best action based on given information.

Machine Intelligence

The capability of computers or machines to learn, think, and solve problems like humans.

Cybersecurity

Protecting computers and machines from unauthorized access or attacks.

Components of an AI Project

• Problem Scoping

• Data Acquisition

• Data Exploration

• Modelling

• Evaluation

Problem Scoping

This is the first step where you clearly define what problem you want the AI to solve. For example, teaching a computer to recognize handwritten numbers or detect spam emails.

Data Acquisition

Collecting or gathering the data needed for the project. This could be images, texts, or any other information that the AI will learn from.

Data Exploration

Studying and understanding the collected data. This involves checking the data for mistakes, missing values, or patterns to make sure it is useful for training the AI.

Modelling

Using algorithms to create a model that learns from the data. This model will find patterns and make decisions based on what it has learned.

Evaluation

Testing the model with new data to see how well it performs. If it makes mistakes, adjustments can be made to improve its accuracy.