Artificial Intelligence and Robotics- The Role of Ai in robots

Robotics is a separate domain of Artificial Intelligence that studies the development of intelligent robots or machines. Robotics integrates electrical engineering, mechanical engineering, and computer science and engineering since they include mechanical components, and electrical components, and are programmed with programming languages. Although robotics and artificial intelligence have distinct goals and uses, most people consider robotics to be a subset of AI (AI). Robot machines resemble humans in appearance and performance when equipped with AI.

Previously, robotic applications were extremely limited, but by merging with Artificial Intelligence, they have become smarter and more efficient. In the industrial sector, AI has played a critical role in replacing people in terms of productivity and quality. In this post, we will cover Robotics and Artificial Intelligence and their numerous applications, advantages, differences, and so on. Let us first describe Artificial Intelligence (AI) and Robots.

What is Artificial Intelligence?

I have already discussed Artificial intelligence in our blog posts several times. But anyhow for those who are beginners /newbies on our website.

Basically, Artificial intelligence is described as the discipline of computer science and engineering concerned with constructing intelligent computers that perform in the same way that people do. Artificial intelligence enables robots to detect, interpret, act, and learn in ways similar to humans. Artificial Intelligence is classified into three types: Narrow, General, and Super Artificial Intelligence

Now let us discuss robotics and their aspects

What is Robotics?

Robotics is a branch of Artificial Intelligence that combines Electrical Engineering, Mechanical Engineering, and Computer Science to design, build and apply robots.

Aspects of Robotics

• The mechanical build, form, or shape of the robots is meant to execute a certain mission.
• Electrical components are used to power and operate the machines.
• They include some kind of computer software that controls what, when, and how a robot accomplishes something.

Applications of Robotics

Robotics has a wide range of applications. Some of the most important robotics application domains are as follows:

In Industrial Sector: Cutting, welding, assembling, disassembling, picking and placing printed circuit boards, packing & labeling, palletizing, product inspection & testing, colour coating, drilling, polishing, and material handling are all businesses that use robots.

In defence sectors: During a battle, autonomous robots can access dangerous and inaccessible areas. Daksh, a robot created by the Defense Research and Development Organization (DRDO), is capable of safely destroying items that represent a threat to human life.

In Medical sectors: Robots are also useful in a number of medical specialties, including laparoscopy, neurosurgery, orthopedic surgery, room disinfection, prescription administration, and other medical areas.

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

Entertainment: Hundreds of robots have been built by Disney engineers for the film industry.

What are AI Robots?

Ai Robots are artificial agents that operate in the real world.

Objectives: Robots are designed to manipulate objects by sensing, picking up, moving, changing the physical properties of the object, destroying it, or having an effect, so freeing up human labour from tedious, distracting, or tiring repetitive chores.

Components of Robots

Several components construct a robot, these components are as follows:

Actuators: Actuators are the devices in charge of moving and controlling a system or machine. It facilitates physical movement by transforming energy such as electrical, hydraulic, and air, among others. Actuators may provide both linear and rotational motion.

Power Supply: It is an electrical device that supplies electricity to a load. The power supply’s primary work is to transform electrical current into power for the load.

Electric Motors: These are the devices that transform electrical energy into mechanical energy and are essential for machines to rotate.

Sensor: They have human-like abilities like seeing, hearing, touching, and moving. Sensors are devices or machines that detect events or changes in the environment and transmit data to a computer processor. These devices are frequently accompanied by other electronic equipment. The electrical sensor, like human organs, is critical in artificial intelligence and robotics. AI algorithms manage robots by sensing their surroundings and providing real-time data to computer processors.

Muscles wire: These are incredibly thin and constructed of a nickel-titanium alloy called Nitinol. It can also expand and contract when given a precise quantity of heat and electric current. When it is in its martensitic condition, it may also be molded and bent into various shapes. When an electrical current is passed through them, they can contract by 5%.

Pneumatic Air Muscles:  Air Muscles are soft pneumatic devices that are ideal for robotic applications. They may contract and stretch by using compressed air to fill a pneumatic bladder. When air is injected, it can contract by up to 40%.

Differences between Robot Systems and Other AI Programs

Here is the difference between the two −

AI Programs	Robots
They typically function in computer-generated environments.	They function in the physical world.
An AI program receives input in the form of symbols and rules.	Analog signals in the form of voice waveforms or pictures are used as inputs to robots.
They require general-purpose computers to function.	They involve complex gear that includes sensors and effectors.

How does AI Robot Work?

The answer is simple. Artificial Intelligence (AI) provides robots with computer vision to navigate, sense, and calculate their responses. Robots learn to do tasks from people via machine learning, which is another component of computer programming and AI.

How do AI Robot Vacuums Work?

There are some among us who clean once a week, and those who clean only when the in-laws come to visit. The robotic vacuum has appeal on both sides. In any case, the house is a little cleaner with less human intervention.
Robotic vacuums with artificial intelligence are a significant way from the original models. That you had to track down because they were stranded someplace in your house, beeping “I’m out of power.”

The most recent products To boost efficiency, clean your house, and recall the layout. Also, they should deposit their own dirt into a receptacle and return to the charging station to rejoice.

AI Robots Have Taken Over

In case you missed it, the robots have already taken control. Industrial assembly lines are no longer the only option. They also help human doctors, patrol hazardous skies, and drive around town. They grow up so quickly, don’t they?
The robots industry continues to invade every part of our life. These improvements, however, are not self-sustaining. Young minds are essential in the domains of robotics, engineering, and science.

AI technology used in Robotics

Here is a list of Ai technologies used in Robotics

Computer Vision

Robots can see though, thanks to one of the most prevalent Artificial Intelligence technologies known as Computer vision. Computer vision is essential in all areas, including health, entertainment, medical, military, and mining.

Computer Vision is a branch of Artificial Intelligence that assists in extracting meaningful information from photos, videos, and visual inputs and acting on it.

Natural Language Processing

NLP (Natural Language Processing) can be used to provide Artificial Intelligence machines in robotics with voice commands. It fosters an intense human-robot engagement. NLP is a subfield of AI that allows humans and machines to communicate with one another. The NLP technology allows the robot to interpret and reproduce human language. Some robots are equipped with NLP, making it impossible to distinguish between people and robots.

Similarly, in the health care business, Natural Language Processing-powered robots may assist clinicians with observing critical details and automatically filling up EHR. Aside from recognizing human language, it can also learn common usage, such as learning an accent and predicting how humans speak.

Mixed Reality

Mixed reality is another upcoming technology. It is mostly utilized in the field of programming via demonstration (PbD). PbD creates an algorithm prototyping process by combining physical and virtual things.

Affective computing

Affective computing is the study of designing systems that can recognize, understand, process, and simulate human emotions. It seeks to give robots emotional intelligence with the hope of endowing robots with human-like capacities of observation, interpretation, and emotional display.

Reinforcement Learning

Reinforcement learning is a machine learning feedback-based learning strategy that allows an AI agent to learn and explore its surroundings, perform actions, and learn automatically from experience or feedback for each action. Furthermore, it has the ability to learn to behave optimally on its own through hit-and-trail action when interacting with the surroundings. It is mostly used to construct a decision-making sequence and achieve goals in an uncertain and potentially complex environment. Robots in robotics investigate their surroundings and learn about them through trial and error. He is rewarded for each activity (positive or negative). Reinforcement learning provides a framework for Robotics to create and simulate sophisticated and difficult-to-engineer behaviours.

Edge Computing

In robots, edge computing is defined as a service provider for robot integration, testing, design, and simulation. Edge computing in robotics improves data management, lowers connectivity costs, improves security procedures, and provides a more dependable and uninterrupted connection.

Complex Event Process

Complex event processing (CEP) is a paradigm that helps us understand the simultaneous processing of several events. An event is described as a Change of State, and a Complex event is created when two or more events come together. The use of the phrase “complex event process” is particularly prevalent in industries like banking, healthcare, security, marketing, and so forth. Both the stock marketing sector and the detection of credit card fraud make extensive use of it.

For example, the deployment of an airbag in a car is a complex event that relies on real-time input from several sensors. This concept is applied in robotics, such as Event-Processing in Autonomous Robot Programming.

Transfer Learning and AI

This is a method for solving one problem with the help of a previously solved problem. The Transfer learning technique applies knowledge gained from solving one problem to solving another. By giving an example, we can show how it works: the model used to identify a circle shape can also be used to identify a square shape.

Transfer learning retrains a previously trained model on a related problem, and just the final layer of the model is learned, which saves time and money. In robotics, transfer learning can be used to train one machine with the help of other machines.