AI in Robotics

What do you call a machine that has the appearance of a person and can even act as one in certain circumstances? You are correct if you guessed Robot!!!

The study of the development and design of these mechanical humans is known as robotics.

With the help of computer science, robots are becoming smarter and more efficient. As a result, Artificial Intelligence has had a considerable impact on both human comfort and industrial productivity, which includes both quantitative and qualitative production as well as cost-efficiency.

This article provides a brief overview of Artificial Intelligence’s importance in the subject of robotics. So, let’s get started with the AI Robot Tutorial and learn about AI in Robotics.

What is Robotics?

Robotics is a discipline of artificial intelligence that combines Electrical Engineering, Mechanical Engineering, and Computer Science to design, build and use robots.

But then how do AI and Robotics work together?

What’s the relationship between robots and AI?

The solution is straightforward.

Artificial Intelligence (AI) gives robots a computer vision that allows them to navigate, sense, and react correctly. Machine learning, a branch of computer programming and artificial intelligence, is how robots learn to perform activities that humans accomplish.
Let us now turn our attention to the fundamental question

What are Artificially Intelligent Robots?

Artificially intelligent robots bring AI and robotics together. AI robots are controlled by AI programs and employ a variety of AI technologies, including machine learning, computer vision, and reinforcement learning.

Therefore, Artificial Intelligence Robots (AI Robots) are artificial agents that function in a real-world setting. The goal of such intelligent Robots is to manipulate objects by detecting, choosing, moving, and destroying them.

A path-finding algorithm could be used by a warehousing robot to navigate the warehouse. When a drone’s battery is about to run out, it may employ autonomous navigation to return home. To recognize and avoid potential road dangers, a self-driving car might employ a variety of AI systems.

How Does an AI Robot Work?

Human beings are made up of five fundamental components at their most basic level:

• Body Structure
• A muscle system that allows the body structure to move.
• A sensory system for receiving information about the body and its surroundings.
• a source of electricity to power the muscles and sensors
• Sensory information is processed by the brain, which then instructs the muscles on what to do.

What Are AI Robotics Vacuums and How Do They Work?

There are some of us who clean once a week, and others who clean just when the in-laws come to visit. The robotic vacuum has a strong attraction on both sides. In any case, the house is cleaner with less human intervention.

The current generation of artificial intelligence robotic vacuum cleaners is a far cry from the initial models’ that you had to find, trapped somewhere in your house, thanks to their depressing “I’m out of power” beeping.

The most recent products, to boost efficiency, clean your house, and recall the layout. Also, they put their own dirt in a container and return to the charging station to rejoice.

AI Robot Have Taken Over

The robots have already taken control, in case you hadn’t noticed. Industrial assembly lines are no longer necessary. They also aid human doctors, patrol hostile skies, and drive about the city. Isn’t it amazing how quickly they grow up?

The field of robotics continues to infiltrate every part of our life. These advancements, however, are not self-sustaining. Young minds are essential in the domains of robotics, engineering, and science.

Example of Pure AI

One of the most well-known examples of pure AI has a game application. In the game of chess, the AI Deep Blue defeated the world’s finest player, Gary Kasparov, in 1997.

AlphaGo, a subsequent model, defeated Lee Sedol, the strongest Go player on the planet, in 2016. AlphaGo didn’t have any mechanical parts.
A human moved the playing pieces while watching the robot’s actions on a screen.

How to Build Artificial Intelligence Robot?

The following components are required to build an AI Robot:

1. Power Supply

When your phone has a low battery, what do you do to operate it? You charge it via electricity.
Therefore, every piece of electronic equipment requires electricity to operate.

AI robots use the same power sources as humans, such as batteries, solar power, hydraulics, etc to deliver the voltage impulses that spin the motors, activate the sensors, and activate the robot brain.

2. Actuators

Actuators are the components in charge of transforming the source’s electric energy into mechanical energy.
They become a significant part of the automated system since they help regulate machinery utilizing hydraulic, pneumatic, or electronic impulses.

3. Electric Motors

I’m sure you have heard about this before. The electric washing machine that you use every day to wash your clothes works on electric motors.

They are used to provide the robot with the rotational mobility it requires. The smaller motors and drives are incorporated into these robotics systems, providing more compact solutions to achieve new levels of efficiency and productivity.

4. Muscle Wires

Muscle wires as the name suggests are temperature-dependent electrical conductor that becomes stiffer(stronger) as an electric current passes through them. It possesses a one-of-a-kind ability to contract on command.

5. Piezo Motors

When an electric field is applied to this sort of motor, it causes it to rotate.

Piezoelectric motors use the opposite piezoelectricity of piezoelectric sensors, in which deformation or vibration of the piezoelectric material causes an electrical charge to be produced.

Within the piezoelectric material, a circuit creates acoustic or ultrasonic vibrations that produce linear or rotational motion.

6. Pneumatic Air Muscles

These are pressurized air-operated arm devices that stretch and contract as needed. Because the major component may be a thin membrane, these are relatively light.

This allows them to be directly attached to the structure they control, which is advantageous when replacing a damaged muscle.

7. Sensors

Sensors are devices that detect different signals in the environment.

For instance, When you’re at work, a motion sensor may turn on the lights.

A sensor “senses” property – it converts information about the physical environment into data that a system may act on.

What are the Aspects of AI and Robotics?

For successful operation, an AI robot requires a combination of both hardware and software working in tandem. Actuators, power supplies, and various types of motors are examples of hardware components whereas, Artificial Intelligence (AI) is used in the software to control the hardware components to perform properly.

AI Robot Locomotion

The mechanism that allows a robot to move around in its surroundings is called locomotion. Locomotions come in a variety of forms.

Legged

While exhibiting walk, leap, trot, hop, climb up or down, etc., this style of locomotion requires more power. It comes with a variety of legs: one, two, four, and six. Leg synchronization is critical for progress when a robot has multiple legs.

Wheeled

This method allows a robot to move quickly while using less energy than other types of robotic locomotion mechanisms.

When using narrow wheels, these robots are less resistant to derailing and spend less energy.

Legged and Wheeled Locomotion in Combination

This movement entails legs movement in tandem with wheeled movement, as the name suggests.

Slip/Skid Locomotion

The vehicles in this category use tracks similar to those found on a tank. The robot is guided in an equivalent or inverse manner by moving tracks of varying speeds. Because of the high contact area between the track and the ground, it provides stability.

Robotics and AI Programs: What’s the Difference?

Artificial Intelligence Programs

• Software is used to implement AI programs.
• The input method is in the form of code.
• They are available on both desktops and laptops.

Robots

• Robots are made up of a mix of hardware and software.
• Inputs are in the form of analog signals.
• Specialized robots must be allocated to certain tasks.

How Robotics uses artificial intelligence?

1. Computer Vision

Computer vision is one of the most widely used Artificial Intelligence technologies, and it allows robots to see. It is used in a variety of areas, including health, entertainment, medical, military, and mining.

It is a branch of AI that assists in collecting useful information from photos, movies, and other visual inputs and taking appropriate action.

2. Edge Computing

A service provider of robot integration, testing, design, and simulation is defined as edge computing in robotics. In robotics, edge computing allows for better data management, lower connectivity costs, improved security, and more dependable and uninterrupted connectivity.

3. Complex Event Process

It is a notion that helps us understand how many events are processed in real-time. A Change of State describes an event, while a Complex event is defined by the combination of one or more events. The term “complex event process” is commonly used in a variety of areas, including healthcare, banking, security, and marketing. It is largely employed in the detection of credit card fraud as well as in the sector of stock marketing.

The deployment of an airbag in a car, for example, is a complex event that relies on real-time input from several sensors. This concept is employed in robotics, for example, in Autonomous Robot Programming’s Event-Processing.

4. Natural Language Processing

NLP can be used to communicate with AI robots via voice instructions. It establishes a strong human-robot relationship. NLP is a branch of artificial intelligence that allows humans and machines to communicate with one another. The robot can understand and duplicate human words using the NLP approach. Some robots are outfitted with NLP, making it impossible to tell the difference between people and robots.

In the healthcare industry, robots powered by Natural Language Processing may assist clinicians in observing disease specifics and automatically filling out EHRs. It can learn typical usage, such as learning the accent, and forecasting how humans speak, in addition to recognizing human language.

5. Reinforcement Learning

It is a feedback-based machine learning method that allows an AI agent to learn and explore the world, conduct actions, and learn automatically from each action’s experience or feedback. It also has the ability to learn to behave optimally on its own through hit-and-trail action when interacting with the surroundings.

Primarily used to create a decision-making sequence and achieve objectives in an uncertain and potentially complex environment. Robots in robotics investigate their surroundings and learn about them through trial and error.

Reinforcement learning provides a framework for Robotics to design and simulate complex and difficult-to-engineer behaviors.

6. Virtual and Augmented Reality

It is mostly used in the field of demonstration programming (PbD). PbD uses a combination of real and virtual items to build a prototyping mechanism for algorithms.

7. Affective Computing

Affective computing is a branch of computer science that focuses on creating computers that can recognize, understand, process, and replicate human emotions. It tries to give robots emotional intelligence in the hopes of giving them human-like observation, interpretation, and emotion expressing abilities.

8. AI and Transfer Learning

This is a technique for solving a problem with the help of a previously solved problem. The information obtained from solving one problem can be applied to solve related problems using the Transfer learning technique. We can see how it works with an example: the model for identifying a circle form can also be used to identify a square shape.

Transfer learning reuses a previously trained model on a related problem, and just the final layer of the model is taught, saving time and money. Transfer learning can be used in robotics to train one machine with the assistance of other machines.

Computer Vision Application Domains

• Agriculture
• Self-driving vehicles
• Biometrics
• Recognize the characters
• Security, surveillance, and forensics
• Inspection of industrial quality
• Recognition of people’s faces
• Analysis of gestures
• Geoscience
• Medical illustrations
• Monitoring of pollution
• Process control
• Remote sensing
• Robotics
• Transport

AI in Robotics Applications

1. Industries

In robotic assembly applications, artificial intelligence (AI) is a very useful technology. When AI is used in conjunction with advanced vision systems, it can aid in real-time course correction, which is very valuable in complicated manufacturing areas like aerospace.

In general, AI robots are used in industries for a variety of objectives. For instance, material handling, cutting, welding, color coating, polishing, and so on. While a robot is in operation, AI can also be utilized to assist it in learning which paths are ideal for various activities.

2. Mining

Robotics can be used in a variety of mining applications, including robotic dozing, excavation, haulage, robotic mapping and surveying, robotic drilling, and explosive handling, among others. A mining robot can only cross flooded corridors and discover precious minerals using cameras and other sensors.

Furthermore, robots assist in excavation by detecting gases and other contaminants, as well as protecting humans from harm and injury. For space exploration, robot rock climbers are used, while for ocean exploration, underwater drones are used.

3. Military

The military has used autonomous robots to accomplish duties such as surveillance, logistics assistance, explosive disarming, and other activities for quite some time. By putting them on the battlefield, they are now considered a viable alternative to human soldiers.

For instance, Defense Research and Development Organization (DRDO) has developed a robot named Daksh that is capable of safely destroying life-threatening things.

4. Healthcare

Computer vision and data analytics powered by artificial intelligence (AI) has revolutionized health robots over the years, extending capabilities to many other sectors of healthcare.

In addition to operating theatres, robots are being used in clinical settings to aid medical professionals and improve patient care. They can now execute extremely complex procedures with extreme precision.

5. Exploration

To mention a few, there are robot rock climbers utilized for space exploration and underwater drones used for ocean investigation.

6. Entertainment

Various sci-fi films such as The Terminator, Avengers: Age of Ultron, and I have made artificial intelligence a part of the cultural film family. But what if artificial intelligence, in its broadest sense, could be used to create a film?

AI has already demonstrated its potential in the music industry by making wonderful tunes, and the cosmos of art has also witnessed AI’s artistic mind. Currently, the introduction of AI into the entertainment industry will alter how audiences interact with films, videos, sports, and gaming.

Conclusion

These are the fundamentals of artificial intelligence in robotics, including how they differ and how they can be used in a wide range of situations.

Robotics’ real-world applications will rise at an exponential rate as AI powers them up and expands their reach across industries. The future of humanity will be a thrilling place to be.