AI Robotics

Robotics and AI: The Role of Artificial Intelligence in Robots

Robotics and AI: The Role of Artificial Intelligence in Robots


For decades, robots have been a source of fascination for science-fiction writers and tech enthusiasts alike. Not much explanation was given in fiction works as to what made these robots function or why they behaved the way they did. They were simply hunks of metal with an impressive ability to follow commands.

Today, robots are no longer just a figment of imagination but have become commonplace in our lives. We are now able to build robots that can perform complex tasks with relative ease and accuracy because of advances in artificial intelligence (AI). In this blog post, we will explore the role of artificial intelligence in robotics and how it helps to make robots more capable.

What is Robotics?

Robotics is the science of designing, constructing, programming, and testing robots for various purposes. A robot is any machine that can be programmed to perform specific tasks autonomously or semi-autonomously. Robots have certain characteristics that make them distinct from other machines. Among other things, they are usually designed to interact with their environment and can be programmed to carry out specific tasks.

Many aspects of life are now dependent on robots due to their ability to work accurately and quickly. As robots become more sophisticated, they will continue to play a larger role in our day-to-day lives. Robotics aims to ensure these machines’ efficiency, accuracy, and safety.

What are Artificially Intelligent Robots?

The earliest robots, while impressive, had limited capabilities. All robots at the time were programmed to carry out specific tasks with little to no understanding of their environment. However, with artificial intelligence (AI) advancements, we can now design robots that can make decisions and act independently in various situations.

AI-enabled robots are programmed to be able to think and act for themselves. They can react differently based on what is happening around them, allowing them to carry out more complex tasks than traditional robots. AI-enabled robots can also learn from their datasets and become better at performing tasks over time.

Some of the most advanced AI-enabled robots today are equipped with sensors and cameras that allow them to “see” their environment and powerful processors that process the data they receive. This allows them to make decisions in real-time and react quickly in complex scenarios without human input.

For instance, chess-playing robots are now able to beat even the best human players. They are able to see the board, analyze the position, and decide on the best move in a fraction of a second.

What Is The Role of Artificial Intelligence In Robots?

Essentially, the role of artificial intelligence in robotics is to mimic human intelligence and enable robots to respond and act independently in various situations. AI is used to provide robots with the ability to learn, adapt, and make decisions on their own.

AI-enabled robots are programmed with algorithms that allow them to process data from their surroundings, interpret it, and act accordingly. We can compare these algorithms to the human brain. It will enable the robot to “think” and react without any human input.

Let’s take the self-driving car as an example. In this case, artificial intelligence is used to replace the human driver that would normally be in control of the vehicle. The car has sensors that detect obstacles, cameras to recognize traffic signals, and powerful processors that interpret all this data. This allows the car to “see” the road. It can then decide when to accelerate, brake, or turn without a driver.

In short, AI is essential for robots to become autonomous and be able to make decisions on their own. Beyond allowing robots to become more independent, AI also helps them to become more accurate and efficient in performing their tasks.

How AI And Machine Learning Are Working With Robotics

Machine learning (ML) is a subset of artificial intelligence that focuses on creating machines that can learn from data. ML algorithms are complex mathematical models that allow machines to learn from data and improve their performance over time. And deep learning is a subset of ML that focuses on developing neural networks that can learn from data without being programmed.

ML and deep learning are used in robotics to enable robots to “learn” themselves. Over time, robots can use ML and deep learning algorithms to “teach” themselves how to perform specific tasks more efficiently. They will use data from past experiences to make predictions about what to do in different situations. This is how robots become smarter over time. All of this improvement would require little to no human intervention.

Benefits of Integrating AI

The benefits of turning simple robots into intelligent machines with AI are numerous. Among the most important ones, we can find the following:

Minimize Mistakes

Humans are prone to making mistakes. Mistakes can have serious consequences, whether it is a pilot flying an airplane or a surgeon performing surgery. AI-enabled robots can take over these tasks and reduce the chances of making mistakes significantly. Robots do not get tired, they do not make emotional decisions, and they follow their algorithms to the letter.

By integrating AI into robotics, we can reduce the chances of making mistakes while maintaining high accuracy and speed. In addition, AI-enabled robots can remember and learn from their performance, which further reduces the chances of making mistakes.

However, machines are still far from perfect. AI-enabled robots can still make mistakes and do not yet have the capability of replicating human decision-making in complex scenarios.

Increase Productivity

Another key benefit of AI-integrated robots is that they can help increase productivity. Businesses can operate more efficiently by replacing mundane and repetitive tasks with autonomous robotics. For one, AI-enabled robots are capable of working 24/7 without taking breaks and can complete most tasks quickly and accurately.

Using AI-powered robots also reduces labor costs, as they do not require human operators or supervisors to be deployed. Plus, we can create much stronger robots than humans, capable of lifting and carrying heavier objects. As a result, AI-enabled robots can help businesses increase their productivity and reduce operating costs.

Improve Safety

AI-enabled robots can be used to improve safety in dangerous environments. Robots can explore hazardous areas such as collapsed buildings or toxic environments without endangering human life. We can also send them to nuclear power plants, mines, and oil rigs.

Robots equipped with AI and machine learning algorithms can also detect potential dangers more quickly than humans and take the appropriate action. They can act as virtual security guards, surveying buildings and alerting authorities in the event of a suspicious activity. Working alongside human employees, these robots will eventually learn to speak, act, work and behave like us, making them invaluable assistants in the workplace.

Better Quality

Laser precision is something very few people can achieve, but AI-enabled robots can do it easily. Regardless of the complexity of a task, AI-powered robots can be programmed and trained to do it with exceptional accuracy. This means businesses will produce high-quality products faster and more efficiently, increasing customer satisfaction.

Even quality assurance tasks, such as testing and inspection, can now be done by AI-enabled robots. Humans can either miss issues or take a long time to complete the task. Robots will prevent both of these issues and provide accurate, fast results.

Examples of Artificial Intelligence Applied to Robotics

Physical robots have been around for decades, but they have remained limited in their capabilities. With the development of AI and its integration into robotics, robots are now able to do more than ever before. Here are some examples: 

Examples of AI and Robotics in Manufacturing

Perhaps the most common use of AI and robotics is in the manufacturing industry. Automated robots have been used for decades, but now they can be integrated with AI for even greater efficiency and safety. Some factories use AI-powered robots to assemble quickly and accurately without risking damage to the parts or components.

Repetitive tasks like welding, painting, and packaging can now be done more quickly with robots equipped with AI algorithms. Not only does this improve the workers’ conditions, but it also reduces the cost of production. Industrial robots can also help identify and solve production problems, improving efficiency and accuracy.

In large warehouses, self-driving vehicles are being used to transport goods from one location to another without human operators. These robots can even charge themselves and can identify and avoid obstacles in their paths.

Examples of AI and Robotics for Business

The reason we mainly strive to create humanoid robots is to maintain a familiar form factor to the user. People instill more trust in robots that look and act like them. As you can imagine, that’s especially important in customer-facing roles. AI-enabled robots are used in customer service and hospitality roles to ensure customers have the best experience when interacting with a business.

The first AI-enabled robots were mainly deployed in grocery stores and malls to clean. They would scrub floors, look for spills, and then alert the appropriate personnel. In the near future, robots with AI algorithms will interact with customers and answer their questions in a friendly manner.

This may involve answering questions, providing information, or simply greeting customers with a friendly smile. These robots will be found in airports, shopping malls, and other public areas, helping people navigate unfamiliar surroundings and encouraging faster decision-making. The goal is to replace humans with these AI-enabled robots in customer service and hospitality roles.

Source: YouTube

Also Read: Robotics and manufacturing.

Examples of AI and Robotics in Healthcare

From testing and diagnosis to surgery and patient care, AI-enabled robotics are becoming more commonplace in the healthcare industry. Machine learning is already used to create new medical treatments and detect diseases. AI-enabled robots can during surgery, assisting the surgeon and ensuring higher accuracy.

Surgery is no place to have a shaky hand, so AI-enabled robots help ensure the job is done right. Once these robots are fully integrated into the medical industry, they will likely take over more complex operations, like surgical navigation. Inpatient care can be made more efficient with robots programmed to monitor vital signs and alert doctors to any changes that might require action.

AI will be required to turn robots into ethical agents that can take into consideration all aspects of a patient’s health and well-being. They will need to be able to respect patient privacy and adhere to all the ethical guidelines.

Examples of AI and Robotics in Agriculture

The daily life of a farmer is one that involves lots of manual labor, from seeding to harvesting. But with AI-enabled robots, that could change significantly. Autonomous tractors have already been developed and are in use in some farms. These robots can be programmed to undertake tasks such as plowing and planting fields, spraying herbicides or fertilizers, and harvesting crops.

Reactive machines in the agricultural industry are being developed using AI algorithms, too. These robots use lasers and cameras to detect weeds and then take action to remove them. Going back to healthcare, AI-powered robots could use the same sensory capabilities to detect and identify pests, farm animal diseases, and other problems.

Robotics and AI extend to the food supply chain. AI-enabled robots are being used to inspect food for safety and quality. They can also be programmed to track the supply chain from production to delivery, ensuring that food arrives on time and in good condition.

Also Read: Food Robotics – Robots Are Evolving To Take Over The Food Industry

Examples of AI and Robotics in Aerospace

Science fiction has long imagined a world dominated by robots and AI. Now, it’s rapidly becoming a reality in the aerospace industry. Futuristic aircrafts that use AI and robotics to autonomously fly from destination to destination are already being developed. Autonomous helicopters, air taxis, and passenger planes can be programmed to take passengers to their destinations with little or no human intervention.

AI-enabled robots are also being used in the production of aircraft. Robot arms equipped with sensors and cameras can detect defects on the production line and alert workers to potential issues. They can also assemble components with high precision, reducing human error and ensuring a higher level of safety in the air.

AI-enabled robots are being used in space exploration as well. Since they don’t need to breathe, robots can explore and work in space, gathering data on the environment and helping scientists better understand our universe. As we saw on Mars, robots are also invaluable for sending back photos, and videos from places humans can’t go.

Examples of AI and Robotics for Military

One of the more controversial applications of AI and robotics is in the military. Autonomous weapons are robots with AI algorithms that can decide when to attack. As you can imagine, this sort of cognitive technology raises a lot of ethical considerations and has sparked an intense debate about using robots for warfare.

However, they could save human lives, too. AI-enabled robots could be used in dangerous missions like bomb disposal and surveillance, removing the need for people to put their lives at risk. They can also be programmed to patrol borders or protect bases from threats, allowing military personnel to focus on more strategic tasks.

Autonomous vehicles are also being developed for the military. AI-enabled robots can drive tanks, ships, and planes autonomously, allowing for faster response times in dangerous situations. Soldiers risk their lives transporting supplies to the front lines. But those risks could be minimized with self-driving vehicles that can be programmed to follow a predefined route. 

Robotics and Artificial Intelligence: A Brighter Prospect

The collaborative robot is slowly but surely becoming an integral part of our lives. From healthcare to agriculture and aerospace to the military, AI and robotics are transforming how we live and work. Some parts of the world may still be wary of the technology, but others embrace it with open arms.

For instance, the European Union has launched the AI4EU initiative, a program to promote the use of artificial intelligence in several sectors. Similarly, countries like China and Japan have committed to investing heavily in robotics and AI research, believing it will be vital to maintaining their competitive edge.

It’s clear that artificial intelligence gave robotics a huge boost and that the future will be filled with them both. Of course, there are still many ethical and safety considerations to consider, but the potential for robotics and AI is excellent, and we can only expect it to keep improving.

Also Read: AI In Robotics: an Assimilation For The Next Phase In Technology


Robotic technology has been developing at an exponential rate in recent years. With the advent of AI, robotics technology has become more sophisticated and capable of a broader range of tasks. This technology is being used in industries such as aerospace, healthcare, and even the military.

AI-enabled robots are invaluable for certain tasks, especially those that pose risks to human lives. Machine ethics are still a significant concern, but with the proper regulations and oversight, robotic technology could prove to be an invaluable asset for humanity.

What do you think? Do you think robots and AI have the potential to make our lives better in a meaningful way?


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Govers, Francis X. Artificial Intelligence for Robotics: Build Intelligent Robots That Perform Human Tasks Using AI Techniques. Packt Publishing Ltd, 2018.

Lee, Mark H. Intelligent Robotics. Springer Science & Business Media, 2013.

Shaw, Rabindra Nath, et al. Artificial Intelligence for Future Generation Robotics. Elsevier, 2021.