AI and Robotics: How AI is revolutionizing robotic process automation?

The global robot market is likely to reach $38.24 billion by 2024 and increase to $43.32 billion by 2027. Despite their exponential growth and adoption, the capabilities of Robots are vastly limited. They can only do one to two tasks and can’t adapt to new surroundings. However, infusing AI in robotics can make robots more powerful, self-learning, flexible to new surroundings, and much more.

How is robotic process automation currently used in industries?

Robots are widely used in manufacturing to perform a variety of tasks. Besides manufacturing, robots are also used in fields such as healthcare, military, retail, and warehouse. Robots are typically used to perform single-domain tasks such as welding, painting, and assembly. These robots are specialized in a particular thing only. 

These robots cannot easily adapt to new surroundings without human intervention, and if they do so it will take a lot of time, it will take a lot of time. However, if Robots adapt to new surroundings and new tasks, their utility can go up significantly That’s what Artificial intelligence is trying to do. 

The Concept Of Autonomous Learning for Robots

Robots are created to automate tasks without much human intervention.

Robots can perform the majority of tasks they are made for effectively, but their productivity is often compromised in unfamiliar environments. 

To help robots work even in unfamiliar environments, AI-powered autonomous learning is being employed.

Autonomous Learning refers to the process where a system, such as a robot, AI agent, etc., learns a new skill without supervision. It is a self-learning process where a system learns based on its own performance. This learning procedure helps robots quickly adapt to new environments without human involvement.

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How AI in Robotics is enabling the concept of autonomous learning?

If a robot is inexperienced with the environment, it traditionally requires human guidance to perform tasks. But this problem can be solved by using AI. MIT’s Computer Science and Artificial Intelligence researchers and the AI institute developed a new algorithm known as ESS ( Estimate, Extrapolate, and Situate ), which offers a dynamic approach to improving robot performance in an unfamiliar environment.

ESS algorithm enables robots to practice on their own and improve their skills in new environments. This algorithm involves a series of steps that a robot can follow. 

• Vision systems – The ESS algorithm applies vision systems to keep track of the robot’s surroundings. This system allows robots to assess their performance independently and determine whether further practice is needed. By utilizing a vision system, robots can effectively apply the concept of autonomous learning without any human intervention.

• Performance estimation – The algorithm evaluates the robot’s current skill level and predicts how improving a specific set of skills can impact the overall task performance.

• Practice- Based on the evaluation, robot practice, and vision system evaluate the performance.

The ESS algorithm can make any kind of robot a self-learning robot, offering several key benefits such as increased adaptability to new environments, increased problem-solving skills, greater efficiency, and reduced need for manual programming, making a robot more versatile.

AI in Robotics is Transforming Various Sectors

The fusion of AI in robotics has immense potential to shape various sectors such as healthcare, manufacturing, home, agriculture, logistics, and more. By leveraging AI capabilities, a robot can easily acquire new surroundings on its own, increasing efficiency and saving time. Here are the key areas where this powerful combination can significantly impact.

• Healthcare – By understanding new surroundings and regular practice medical robots can perform complex tasks like patient care and medication delivery.

• Disaster responses – ESS-enabled robots can navigate hazardous environments and assist in rescue work.

• Agriculture – ESS can support robots in various tasks such as harvesting and planting.

• Home – By self-learning, robots can manage household chores such as cleaning and dusting.

Apart from healthcare, disaster response, agriculture, and home, AI in robotics can also transform other sectors. ESS-enabled robots can perform tasks more effectively and in a shorter time. They are also very powerful and cost-effective compared to traditional robots.

Traditional robots master one or two tasks, but these AI robots can master many tasks. Unlike traditional robots, ESS-enabled robots are capable of self-learning. Due to these advanced features, businesses and industries can adopt the robots of the new era, ESS-enabled robots to perform business operations more efficiently.

AI in Robotics: Boston Dynamics’ Spot Robot Demonstrates Self-Learning with ESS Algorithm

Boston Dynamics’ Spot quadruped robot applies the ESS algorithm to perform a new set of tasks. Researchers use the ESS algorithm with a spot robot to check the self-learning process. With the help of the ESS algorithm, Spot performs given tasks in 2 to 3 hours that a normal robot cannot perform. Following are the task details that the spot robot performs as per the ESS algorithm.

Task 1 – In the first task, the spot was given a special handle made up of a 3D printer and its job was to place a ball and a ring on a titled table. With the help of the ESS algorithm spot practised this task and was able to perform work in about three hours.

Task2 -In the second job, spot had to sweep toys into a bin. Using the ESS algorithm spot performed this task in two hours. 

Older methods would take 10 hours to perform the same task, but by using AI-powered methods like the ESS algorithm robot can learn on its own and perform the same task in less time. That’s where the AI is making a difference. Using AI capabilities a normal robot can turn into a self-learning robot. These self-learning robots can automate various processes and boost productivity.

AI tools, assistants, and algorithms are being used in various industries and businesses. In this dynamic world where every business wants to streamline its operations and grow, the fusion of AI in robotics can be a great choice. The ESS algorithm is one such example. There will be many in the future. Today’s industry demands high-tech innovations which can be possible with the help of AI.

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