ROBOTICS AND ARTIFICIAL INTELLIGENCE

ROBOTICS AND ARTIFICIAL INTELLIGENCE

are two exciting fields that are growing quickly and changing the way we interact with the world. Understanding these technologies is key to navigating the future.

Robotics

involves designing machinesthat can perform tasks autonomously or with human control, such as the Roomba, a robot vacuum cleaner.

Sensors

help robots understand their surroundings by detecting factors such as temperature, light, pressure, sound, and movement.

Actuators

enable robot movement by functioning like muscles. They perform actions such as turning wheels, lifting arms, or rotating joints, and are typically powered by electricity, compressed air, or hydraulic fluids.

Controllers

serve asthe ‘brain’ of a robot: they process data from sensors, make decisions, and direct actuators to perform tasks.

Artificial Intelligence (AI)

enables machines to learn and solve problems, such as Google Maps, locating the optimal route.

Reactive Machines AI

These are the most basic type of AI. They do not store memories or learn from past experiences; they only respond to the current input.

Limited Memory AI

This type of AI can use past data to make better decisions, but it only stores information for a short period. Most AI systems we use today belong to this category.

Theory of Mind AI(still under development)

This type of AI aims to understand human emotions, beliefs, intentions, and social interactions. It is still under development and has not yet been fully realized.

Narrow AI (Weak AI)

This type of AI is designed to perform a specific task and cannot go beyond what it was trained to do. Generative AI is a form of Narrow AI that creates new content, such as text, images, music, or code, by learning patterns from large datasets. Tools like ChatGPT or DALL·E generate content, but they can only perform their specific tasks and do not truly understand the content like humans do.

General AI (Strong AI)

This AI would have the ability to comprehend, learn, and apply knowledge across different tasks— like how humans think and adapt.

Accountability

Be responsible for the actions and outcomes of AI and robotics systems. Developers and users must be prepared to respond to the unintended consequences of these technologies.

Integrity

Be transparent about AI and robotics capabilities and avoid biases. Fairness and honesty in AI systems prevent discrimination and encourage trust.

Mindfulness

Be aware of the impact of AI and robotics on society, jobs, and privacy. Ethical use means considering social, environmental, and economic effects.