How AI and robotics are related?

How AI and robotics are related?

The mental image we have of robotics and artificial intelligence (AI) is normally polarized. Several people’s perceptions of robots are probably affected by popular cultures, such as films, books, or comics. It is reasonable to think that the popular view of what robots or artificial intelligence (AI) differs from what they are in reality. Although the propensity is immense, researchers working in the fields of robotics and AI still have a long road ahead before their contraptions can match the attributes of fictional robots.

While AI systems and robotics are not inherently linked, they are frequently used in tandem to develop intelligent machines that are more strongly related to animals and humans. Because robotic systems are only as “intelligent” as the program that drives them, artificial intelligence (AI) can be used to develop “smarter” robots.

This link has been used before in the creation of gadgets, such as robotic pets, and also demonstrations of robots attempting to imitate human thought and reactions. Other implementations, such as cybernetics, seek to merge these two fields of study.

What is robotics?

Robotics is the study of physical robots. Robots are configurable devices that can typically perform a lot of operations independently.

A robot is made up of three important components:

  1. Sensors and actuators allow robots to interact with the physical world.
  2. Robots can be programmed.
  3. Robotic systems are typically self-contained or semi-autonomous.

It’s unusual how difficult it is to get professionals to concur on what actually makes a “robot.” Some argue that a robot has to be capable of “thinking” and making a decision. Nevertheless, there is no widely agreed definition of “robot thinking.” Mandating a robot to “think” implies that it possesses some reliance on artificial intelligence, but the existence of numerous non-intelligent robotic systems demonstrates that reasoning cannot be a necessity for a robot.

What is AI?

Artificial intelligence (AI) is a field of computer science concerned with the development of dynamic structures that try to imitate human intellect in reaction to current and modifying circumstances, such as audio or face identification, problem-solving, or computational linguistics.

The ability of AI to quickly handle vast volumes of data while minimizing errors is its most promising application. An AI system must have subject-specific insight as well as the ability to interpret this knowledge in order to make smart choices. Artificial intelligence (AI) is a type of computer software. At the present time, machine learning has succeeded in developing specialized software capable of problem-solving and understanding with a constrained set of variables.

Even now, it is far from that which fiction writers have envisaged, as science today has only a restricted insight into human intelligence, let alone how to simulate it with computer systems. Robotics, on the contrary, is a branch of engineering that creates devices that can move in a variety of ways. Whenever the two are integrated, the goal is frequently to build a robot that can relocate and “think” intelligently.

What’s the difference between artificial intelligence and robotics?

Artificial intelligence is concerned with the development of complex computer applications and systems capable of performing a broad variety of tasks that would normally require human intellect. Artificial intelligence and machine learning techniques are capable of understanding and perceiving from interaction, solving problems, comprehending common human words, and performing logical thinking activities. . Robotics technology, on the other hand, includes physical robots that are designed to accomplish various actions/tasks independently or semi-independently. Thus, the primary distinction between AI and robotics is that the aforementioned is concerned with software intelligence, while the latter is concerned with creating physical robots that can operate sensibly

Since robotics and artificial intelligence can coexist, researchers are highly keen on linking the two owing to their intrinsic prospects. An artificially intelligent robot is produced by a Venn diagram of artificial intelligence and robotics. The level of control with which such a robot operates differentiates it from others. Artificially intelligent robots serve as a bridge between AI and robotics; they are controlled by AI algorithms and are intended to perform specific tasks.

The consolidated power of Artificial Intelligence and robotics

So, what’s the deal with AI and robots? AI and robotics can and do coexist. In hypothesis, when AI and a robot are combined, you get an artificially intelligent machine with a high degree of automation, capable of optimizing activities and “learning.”

In this scenario, AI serves as the robot’s “brain,” whereas sensors and machine parts serve as its “body.” Scientists think that most robots would have some level of AI capability in the future. Their effectiveness will be greatly improved as a result.

These robots will be capable of performing complex functions in harsh and ambiguous situations by utilizing neural network models and genetic algorithms.  For the time being, AI-enabled robots have limited functionality and are still scarce and costly. Intelligent robots’ potential applications are limitless. They can be used in a variety of industries, including manufacturing, pharmaceutics, sales, education, and even the armed services.

Robots designed for close human interaction necessitate an elevated level of artificial intelligence. The ability of modern humanoid robots to recognize speech and emulate emotional responses and facial expressions is restricted. Sophia, a humanoid robot produced by Hanson Robotics, is one instance.

Sophia is capable of imitating human gestures and have streamlined discussions on a preset subject. Hanson Robotics, her founders, presume that such robots will find use in dealing with customers, medical services, counselling, and schooling. Critics claim that Sophia is nothing more than a glamorized chatbot, but it is very probable that we will see robots with comparable, more innovative features in the coming years.

A few robots have the ability to socialize. Kismet, a machine developed at M.I.T.’s Computer Science & Artificial Intelligence Lab (CSAIL) in 1998, recognized and reacted to human body dialect and vocalizations. Ever since commonly available engaging robots have become available, and some are being used as accomplices for elderly people. Even though the robots can assist with cleanup and movement, introducing interactive elements significantly reduces seniors’ social exclusion.

Numerous different areas of science, such as cybernetics, can link artificial intelligence and robotics. Cybernetic advancement intends to generate robots or components of robots that interact with human consciousness by incorporating artificial intelligence and robotics in a more organic manner. Innovative prosthetics that can replace the lost arms and legs and facilitate movement by the use of AI programs and the behavior of the person who wears the prosthetic are significant additions in this field. Some futurologists imagine a future in which cybernetics enables AI and robotics to become so intertwined that human intellect and computer systems become a solitary, unique creation, though this is mere speculation.

Artificial Intelligence-Based Robotic Applications

There are a couple of ways in which AI is used in today’s globalized manufacturing industry.

  1. Assembly

In robotic assembly application domains, AI is a very great resource. When merged with improved vision systems, AI can aid in real-time course correction, which is incredibly beneficial in complicated production industries such as aerospace. While in operation, AI can also be used to assist a robot in learning on its own which pathways are best for certain methods.

  • Packaging

For faster, lower-cost, and more accurate packaging, robotic packaging frequently employs forms of AI. AI saves specific movements made by a robotic system while continuously perfecting them, making installation and relocation of robotic devices simple enough for anyone.

  • Customer Support

Robots have also been used in major retailers and hotels all over the world to provide service to customers. A large percentage of these robots use AI language processing capabilities to engage with clients in a more human-like manner. The more these structures are able to converse with humans, the further they acquire.

  • Robotics Open Source

A few robotic systems with AI capabilities are now being sold as open source. Users can instruct their devices to perform personalized activities based on unique usage, like small-scale agricultural production, in this manner. The fusion of open source robotics and AI could be a major leading edge of AI robots.

  • Chatbots and Virtual assistants

Virtual assistants and chatbots that use machine learning and natural language processing to converse with humans in their native languages. Whereas chatbots have totally redefined customer experience, virtual assistants such as Siri, Alexa, and Cortana have rendered our lives so much easier.

  • Gaming

Games with great graphic and sophisticated characters that can imitate humans. Game makers use AI and robotics to acquire and analyze user data to produce games, character types, visual effects, and integrations that are synched with the interests and preferences of the target viewers. True Blue Casino, an internet gambling forum, manipulates the result of betting games using AI-based techniques!

  • Autonomous automobiles

Self-driving cars and fully independent flying techniques that use artificial intelligence and computer vision to traverse through congested roads or the air by relocating around hurdles in a deliberate manner. Drones, for example, are independent flying machines that can perform a number of tasks such as 360-degree overhead view surveillance, recorded video, security systems, and far more.

  • Household purposes

Amazon’s upcoming Astro bot is the most visible example of AI-powered domestic robots. The robot, which is primarily an Echo Show on tires, uses artificial intelligence to maneuver independently around the house, functioning as your ears and eyes when you aren’t there thanks to a periscope camera installed. Robot vacuums can also move around home furnishings, so this isn’t entirely novel. However, AI is also becoming more important in this area. iRobot, the corporation behind Roomba, announced recently that new versions will be using artificial intelligence and machine learning (AI) to detect and mitigate pet excrement.

  • Manufacturing

The possible impact of robotic AI in industrial production, also identified as Industry 4.0, could be far-reaching. It might be as simple as a machine trying to navigate its path around a crowded storage facility, but businesses like Vicarious are now using AI on turnkey robotic systems in which the job is too complicated for programmable automated processes.

It isn’t the only one who feels this way. One other instance of how robots are used in production is the Shadow Dexterous Hand, which is flexible enough to grab soft fruit without destroying it while also understanding through demonstration, conceivably changing things in pharmaceutical.

1. Business sector

Starship Technologies’ distribution robots are a smart innovation for any company that needs to send items within a four-mile radial distance. The little robot on rollers, which is installed with mapping systems, sensors, and AI, can decide the best path to take on the fly while attempting to avoid the dangers of the outside universe.

Things seem to be getting even better in the catering industry. Even though it’s labelled after the simple art of flipping burgers, Miso Robotics’ Flippy uses 3D and thermal sight to learn from the kitchen it’s in and can acquire new skills over time. Moley’s Robotic Kitchen may also provide a glimpse into the future of food service.

2. Robotics in health care

Healthcare personnel are frequently exhausted and overstressed, and exhaustion can be fatal in the healthcare world. Robotic systems do not exhaust, making them a potentially ideal replace, and so-called “Waldo Surgeons” are able to perform processes with amazing precision and a stable “hand.”

However, robots do not need to be competent to accomplish the duties of fully skilled surgeons in order to be meaningful. Simpler instances of robots in healthcare can spare doctors’ time by performing low-skilled tasks. Moxi, for instance, can go from distributing PPE to running patient specimens, giving human doctors more hours to deal with patients.

Moreover, during the coronavirus disease outbreak, Cobionix developed a robot capable of administering needleless inoculations without the need for human oversight.

3. Agriculture

As in health care system, the destiny of agriculture robotics could alleviate staff shortages and employee exhaustion, but there is another massive potential benefit: sustainable development.

Iron Ox, for instance, employs artificial intelligence and robotic systems to make sure that each plant receives the ideal amount of sunlight, liquid, and nutrients to succeed. Less water is lost and farms reducing waste when each plant is analyzed with robotics and Artificial intelligence. The AI is supposed to continue learning from the statistics, enhancing yield for subsequent harvests as well.

The Agrobot E-Series, one other example of agricultural robots, can not only produce strawberries with its 24 robotic arms, but also uses AI technology to determine the ripeness of every fruit.

4. Aerospace

While NASA is now attempting to improve the artificial intelligence of its Mars rovers and developing a robotic satellite restoration robot, other manufacturers are also interested in improving space technology through AI and Robotics.

Airbus’ CIMON is some kind of Siri in space, intended to help explorers with routine work to reduce anxiety through voice recognition, while also acting as an early-warning system to detect issues. And NASA isn’t the only organization that works on self-driving rovers. In the not-too-distant future, iSpace’s own spacecraft could be in charge of laying the groundwork for a ‘Moon Valley’ colony away from Earth using inflight tools.

  1. Military

For various reasons, the armed services is less eager to brag about its accomplishments than most who use robotic AI for far less contentious reasons, but the prospect of AI armaments is very genuine, and independent armed drones have seen real fighting.

Artificial intelligence and software robots?

To add to the confusion, the term “bot” — an acronym for “robot” — can also refer to software applications that perform tasks fully autonomous. These, in turn, may employ machine learning.

Because they have no substantial form, software bots aren’t considered robotics, and the term can refer to anything from web crawlers to chatbots.

The latter employs artificial intelligence to actually respond to human-sent signals.

Artificial intelligence is at the vanguard of COVID-19 studies.

AI has recently found widespread use as a healthcare diagnostic instrument. Investigators from AliBaba’s DAMO Academy developed an AI-enabled framework and instructed it with data from over 5,000 known cases of COVID-19 virus.

Two applications are available for the system. The first step is to monitor treatment responses in reported cases of coronavirus disease to determine which treatments are most effective. The second application is to use computed tomography scans of the chest to make a diagnosis of cases reported. Deep learning is used by the AI model to study infection trends. It has a 96 percent accuracy in distinguishing between patients with ordinary viral pneumonia and those infected with COVID-19.

The AI’s process time is roughly 40 times better than that of a human doctor analyzing CT scans and making a prognosis. This AI is presently used in over a hundred Chinese healthcare facilities, and certain other industries are establishing similar diagnostic Artificial intelligence systems. As robotics and artificial intelligence (AI) advance, we can anticipate them to have an effect on life in aspects we still cannot predict.

While completely autonomous sentient robots are still a work in progress, these are excellent opportunities to be working alongside robotic systems. There is a lack of skilled to supervise and retain robotic equipment in any industrial environment, agriculture, transportation, or any other ground where robots are used. There has not been a stronger time to start a career in robotics and collaborate with these incredible devices.


Robotic systems and AI are two fields that are related but not the same. Robotics is the creation of robots to perform tasks autonomously, whereas AI is how processes mimic the human brain to make judgments and ‘learn.’

While robotics can have an AI component (and vice versa), both can and generally do operate independently. However, many such AI-free robotics systems have been designed with past artificial intelligence limitations in brain, and as science progresses by huge leaps every year, robotics automakers may feel highly convinced in stretching the boundaries of what can be accomplished by combining the two fields of study.

The power to make decisions distinguishes AI from other systems. It has the potential to improve the device’s output, i.e., improvisation. AI is a wired and programmed technical brain. To operate autonomously or semi-autonomously, robots require prior instructions or instruction codes.

The world is looking for a much more self-assured merging of these two principles, as this may help humanity achieve the objective that has remained intact for hundreds of years. Humankind has developed solely to gratify its inquisitiveness.  Man developed solely to satisfy their inquisitiveness. Curiosity led us to the moon and is still on its way to Mars in quest of a more serene and greater environment. This interest should never end up dying, because the day it does, so will our desire to survive.

From pay loading shelves to drones, science is creating micro-drones, unmanned aeronautical vehicles (UAV) to push the boundaries of imagination. All of it tends to depend on the development team’s dedication and, in the case of a sole pioneer, his ambition. The potential of this technology has increased demand for AI advisory services all over the world.