Table of Contents

What is Artificial Intelligence?

The simulation of human intelligence and machines create a paradigm shift in virtually every sector of the industry. Therefore, companies across various industries are investing in technologies. Artificial Intelligence in robotics is an interdisciplinary science with multiple approaches that allow machines to model. However, limited by the manual nature of programming, it is still capable of performing tasks that solve problems.

Role of Artificial Intelligence
Artificial Intelligence


What is Robotic process automation?

Robotic Process Automation emulates human actions interacting with digital systems. It is an emerging business process automation technology that manages robots. The role of artificial intelligence in robotics is to automate digital tasks. Robotic Process Automation bots can operate without time constraints, with utmost precision, and at the highest possible speed.

Robotic process automation

What is Machine Learning?

Machine Learning is a part of artificial intelligence that focuses on using data and algorithms to imitate human actions. It is the process that enables systems to automatically learn and improve accuracy based on the instructions given to them. Over the last few years, advancement in technology has resulted in the development of some innovative products based on machine learning.

Machine learning in Robotics

Role of Artificial Intelligence in Robotics

The powerful combination of robotics and Artificial intelligence can disrupt any industry beyond the imagination. The role of artificial intelligence in robotics not only helps to develop the prototype to perform instructed tasks but also creates capabilities to tune programs automatically for different scenarios. Artificial intelligence integrates robots into various functions that result in computer vision, motion control, and grasping things. Also, controlling programs to understand patterns and act accordingly. Earlier, robots without artificial intelligence did only repetitive tasks. Here, image annotation plays an important role in forming the number of datasets that helps bots to recognize earlier actions and perform the desired action accordingly in the right manner.

Use of Machine Learning in Robotics

Machine learning in robotics feeds algorithms that create several artificial intelligence models.  It mainly helps to recognize the wide range of things visible in different scenarios. Machine learning in robotics opens the door to new automation possibilities to detect new objects. It can make a new classification that detects such objects if visible again next time. There are different ways used to train models with high-quality data for a more precise process of machine learning in robotics. However, we are yet to reach our full potential of applying machine learning in robotics.


How do Artificial Intelligence and Machine Learning in Robotics work?

McCarthy devised the concept of artificial intelligence in 1956. Since then, it has undergone a lot of changes for betterment. The role of artificial intelligence in robotics is to navigate, sense and calculate their reaction accordingly. This is because machine learning programs which are part of artificial intelligence give life to robots to perform like humans.  In fact, in comparison to humans, they are empowered to do tasks with more precision and less time. Here are the following:


  1. Weak Artificial Intelligence-

This type of AI has predefined commands and responses to create a simulation of human thought and interaction. However, robots do not interpret any of the commands but execute as demanded. For example, Alexa only responds to the command given.


  1. Strong Artificial Intelligence-

This type of AI is widely used nowadays as robots can perform their tasks on their own. It doesn’t need any kind of supervision to do the task correctly once programmed. For example, self-driving cars, humanoid robots, robotic surgeons etc. The use of machine learning in robotics can sense the environment and interact with its surroundings with no human intervention at all.


  1. Specialized Artificial Intelligence-

This type of artificial intelligence instructs robots to perform specified and repetitive tasks. Thus, it is mainly used in industries with limited tasks like painting, assembling, etc.


 Impact of Artificial Intelligence and Machine Learning in Robotics:

Currently, the competency and role of artificial Intelligence in robotics are increasing rapidly. To achieve the desired accuracy, machine learning supports artificial intelligence in robotics for different purposes across various sectors. Large and flexible training datasets in bots mark improvements in any process. However, the algorithms in a robot are programmed with the self-learning ability to recognize similar or repetitive situations to perform better than humans.

Safety: Multi-dimensional image datasets detect objects so that these powerful machines recognize obstacles in advance. Thus, machine learning in robotics is steadily improving the safety of humans in a fast and reliable environment.

Quality: Computer vision technology increases the ability of machines to identify defects that are invisible to the human eye. In addition, artificial intelligence in robotics can help to carry out continuously without a drop in detection rates.

Longevity: Artificial intelligence in robotics is deployed for the maintenance of machinery and structures. Robots are trained to spot potential mechanical problems or defective machinery before a catastrophic failure. Also, extends the life of important parts of equipment to avoid any wear and tear of machines.

Hence the use of artificial intelligence and machine learning has precipitated advancements in almost every sector. We, therefore, advise you to join

Henry Harvin’s certified course in Artificial Intelligence if artificial intelligence, machine learning or robotic automation interests you.

Henry Harvin’s Artificial Intelligence Course:

Global edtech is US based company with a presence in India also. Popularly known as Henry Harvin offers various courses, and has a customer spread across more than 97 countries. A certified Artificial Intelligence Course from Henry Harvin is the most in-demand course and ranks no. 1 in India.  The course curriculum includes live lectures to aid learners in better understanding the subject. Since the content design has a practical approach, it is easy to implement. It involves project-based learning which is necessary to develop the technical skills of the learners. While they are learning the concepts, they are simultaneously working on real-time projects from industries. After the completion of the course, you will be able to comprehend the role of artificial intelligence and machine learning in robotics. Therefore, making you industry ready immediately.

Benefits of the course from Henry Harvin:

  • Learn from renowned industry experts in the field of AI & Machine Learning
  • Experiential Learning through industry-relevant projects from different domains
  • Become eligible for live membership of Henry Harvin.
    • An exhaustive course curriculum designed by eminent academics and business experts to match up with industry expectations.
  • The course guarantees placement once you complete it.
  • Keep the learners updated with the latest technology advancement in AI & ML.


Artificial intelligence and Machine Learning in robotics in various sectors

In comparison to humans, artificial intelligence and machine learning help bots perform actions with the desired accuracy at the topmost efficiency. Although currently, the application of AL and ML is limited. Despite this, the role of artificial intelligence in robotics can be seen in various fields. Artificial intelligence and machine learning in robotics are driving forces in the following sectors:

AI &ML in Healthcare Services:

Artificial Intelligence using Robotics in Healthcare
Robotics in Health Care

Artificial intelligence in robotics has a significant role in providing an automated solution to the healthcare industry. Machine learning in robotics is transforming the healthcare market from medical supplies to remote surgeries. AI-driven robotics plays a massive role in medical diagnosis, clinical tests, research analysis, data integration, and surgery. Not only this, it helps to track health status, the supply chain process of medical equipment and medicines and other essentials for patients. Thus, the technology of machine learning in robotics makes machines perform crucial tasks without the help of humans. Indeed, AI & ML is disrupting this industry to train robots for different purposes using big data.

Robotics in Agriculture:

Role of artificial intelligence in agriculture
AI in Agriculture

Integrating the use of artificial intelligence and machine learning in robotics help farmers improve the yield of crops. In agriculture, AI robots monitor quality improvement and environmental conservation. It also ensures effective use of land potential and crop cultivation with precision removing unwanted floras automatically. The primary role of artificial intelligence in robotics is breaking down labour efforts that ultimately render more time for farmers to focus on productive tasks. The gradual shift towards technologies in the agricultural sector results in low operational costs and sustainable development. Thus, from fruit or vegetable plucking to spraying pesticides, and monitoring the health conditions of plants, robotics training datasets are continually refining the global agricultural scenario.

Machine learning technology in Warehouses:

Artificial intelligence and robotics in warehousing
AI in warehousing

With the increase of e-commerce or online retail companies, the role of artificial intelligence in robotics is important. Robotics are trained to manage huge amounts of inventory and develop capabilities to move from one location to another carefully. Thereby, reducing human efforts in executing repetitive tasks. Some other benefits of adopting machine learning in robotics are minimizing errors and reducing operational time and costs. Bots are trained like humans and operate on programmed algorithms that ensure safety through a better perception of the surrounding, thus avoiding mistakes. Automated guided vehicles use AI and ML technology for transporting goods in a warehouse working 24*7.

Aerial drones are another example of the use of machine learning in robotics in warehouses. They help in the quick scanning of stocks and optimal inventory management. Bots are also trained for channelizing distribution in warehouses with the increased speed at which packages can be moved through a centre. Hence, the use of artificial intelligence and machine learning in robotics takes away mundane tasks from humans with time and cost-effectiveness.

Artificial Intelligence in Automobiles:

Artificial Intelligence in Automobile
AI in Automobile

Artificial intelligence in robotics help to develop a whole network of applications in the automotive industry to develop cars with reduced cost of manufacturing. Robotic intelligence supports the design, supply chain, and production activities. In detail, the automobile industry moved to automation with fully-automated assembly lines to assemble the vehicles, and systems like driver assistance, autonomous driving, and driver risk assistance.

The advancement of machine learning in robotics is widespread:

  •  Bot locates items to assemble machine devices like screws, motors, pumps, etc.
  • Supports installation of basic errands like door panels, fenders, etc.
  •  AI can be further used in painting and coating.
  • Robots can also transfer these parts for loading and unloading.

Thus, the automobile sector uses both artificial intelligence and machine learning in robotics to perform certain actions with better accuracy and efficiency.

Robotics in Supply chain management:

Artificial Intelligence in Supply chain Management
AI in Supply Chain

The role of artificial intelligence in robotics is crucial to logistics companies. Machine learning model train robotics detect items using vision technology. Further, pick the boxes, load and unload them, and move to the desired location with speed and accuracy. 

Artificial Intelligence in Logistics:

Artificial Intelligence in logistics
AI in logistics

The bots are designed using annotated storage images to identify misplacements of stock for optimal utilisation of warehouse space. The role of artificial intelligence in robotics increases the efficiency of warehouses through proper logistic management.

Machine learning in Waste Management:

Machine learning in robotics for waste management
ML in waste management

The use of machine learning in robotics is important in the waste management industry. Robots deployed accurately collate, distinguish between types of waste and dispose of it correctly.

 Advanced imaging technology in Artificial Intelligence

The role of artificial intelligence in robotics has changed and grown exponentially in the last few years. The blend of traditional engineering, algorithms, and patterns results in emerging techno-fusion technologies. Several form recognition protocols interact with new algorithms to build integrated contextual logical databases for automated validation. The merging of artificial intelligence, robotic process automation, machine learning and the cognitive platform is set to define the hybrid technological era. Industries and companies are developing processes and products that are built on artificial intelligence. Even if the solutions seem to be promising at the moment, it won’t matter as there always be challenges in fast-moving technological changes. Machine learning in robotics has major implications for sustainability, uncertainty and reliability.

Deep Learning methodology

This has opened the door for automated cars without drivers, medical analysis system that identifies chronic diseases at an early stage, and many more. Modelled on the complexities of a human brain, still technology can’t train machines at a level to ignore characteristics of a sound or image.

Cognitive Process Automation

This is the integration of machine learning, robotic process automation, cognitive platforms and advanced analytics.

Cognitive Augmentation technology

This replicates human actions like perceiving, inferring, evidencing, and reasoning. It combines advanced automation, analytics, and cloud technologies that train to perform judgment-intensive tasks.

How do AI & ML techniques program robots?

 Artificial intelligence and machine learning in robotics are opening new opportunities virtually in every sector. Bots require a vast amount of training data to learn and recognize similar objects. The data contains image annotation techniques to annotate different things.  Therefore, helps machine learning algorithms to recognize similar objects when visible. Artificial intelligence companies get high-quality datasets for machine learning-based models and computer vision-based models from highly skilled annotators of different fields like healthcare, retail, agriculture, etc.

Scope of Artificial intelligence and Machine Learning in Robotics

There is a much wider scope in every system and process that involves artificial intelligence and machine learning in robotics. Thus, the overall impact results in increased efficiency and profitability. Some basic scope defined are the following:

Vision technology – In this, the role of Artificial intelligence in robotics is to help recognize objects with greater details. Also, programmed to detect items of relative or repetitive nature.

Grasping – Bots are designed to hold objects using machine learning technology. They determine the accurate position and angle to grip a thing.

Motion Control –

The use of machine learning in robotics results in dynamic interaction to avoid hindrances and maintain productivity.

Data – The use of artificial intelligence in robotics help to understand physical and logistic data patterns. Hence, bots are proactive and reactive accordingly.

 Benefits of Artificial Intelligence and Machine Learning in robotics:

While integrating Artificial Intelligence with an existing business operation has the following benefits:

Increased productivity using Machine Learning in Robotics

With the increased demands of customers, companies are juggling to meet their expectations. The role of artificial intelligence in robotics is to help these companies to make time-consuming tasks easier like faster delivery. Thereby, decreasing human efforts and alleviating productivity. 

Artificial intelligence reduces human error

Machine learning techniques create a set of algorithms that significantly reduce errors. According to the previous information gathered, the programming of every step is done. Thereby, increasing accuracy without human intervention.

No risks in using AI

Artificial Intelligence in robotics can overcome risks because robots are programmed in such a way that they can do more laborious tasks with precision. Moreover, they overcome human limitations with greater responsibility and do not wear out easily. For example, mining exploration, space exploration, underwater exploration and defusing the bomb.

Digital Assistance through AI

Some of the most technologically advanced companies engage users through digital assistants. It helps to organize and manage data, thus eliminating the need for humans. For example, GPS guides to travel across the globe, detection of fraud in financial institutions, and chatbots to deliver user-requested content.

AI is available 24×7

Humans are productive for 3 to 4 hours a day but processes can work endlessly using machine learning in robotics. Bots are much faster than humans and can perform multiple tasks with accuracy and on time.

AI handles repetitive jobs

Artificial intelligence in robotics helps in performing tasks that are monotonous. Machines think faster in comparison to humans so that they can carry out various functions simultaneously. For example, multiple document checks in the bank using an artificial intelligence cognitive automation approach.

AI leads to new inventions

Artificial intelligence is the force behind various inventions that resolves challenging issues beyond human capabilities. For example, AI-based technology diagnoses ailments at a very early stage.

Rational decision-making using AI

Emotions drive humans, therefore artificial intelligence in robotics is programmed on logic based on previous datasets. Thus, the role of artificial intelligence in robotics makes tasks more efficient and devoid of emotions in a short period. For example, its usage in healthcare.

AI enhances human safety

The role of artificial intelligence in robotics improves workplace safety. For example, oil and gas companies use artificial intelligence for safety inspections to reduce risks to humans.

AI in daily applications:

Our everyday lives are entirely dependent on applications which run on artificial intelligence and machine learning technology. Bots drive a variety of applications like Google Maps, Alexa, automatic mail responses, chatbots, etc.  For example, AI-based techniques can anticipate weather conditions.

Drawbacks of Artificial Intelligence

There are two sides to a coin so there are a few disadvantages of artificial intelligence in robotics:

  1. High cost involved:

Initially, the installation of artificial intelligence requires a high cost. Apart from the implementation cost, repair and maintenance cost is also very high. Also, later frequent upgradation of software programs is very high.

  1. No replication of humans:

Machines are trained to be logical but still can never replicate a human. Humans have emotions so sometimes decisions should be based on circumstances. Hence, they are not replaceable with machines as humans are the ones to program robots.

  1. No improvement with Experience:

Unlike humans, the experience cannot improve the robots using artificial intelligence.  They perform functions as instructed by humans. It stores a lot of data and human intelligence can access it.  Also, they can’t adjust according to the changing environment. Eventually, artificial intelligence leads to wear and tear.

  1. No creativity:

Robots are programmed for doing certain tasks. They work on algorithms predesigned, hence cannot be creative and adaptive to the situations. Humans have inherent intuitive abilities therefore bots can’t match the power of a human brain.

  1. Unemployment:

Capital-intensive technologies are replacing humans in various areas of a process. In future, if humans don’t upgrade themselves with new skills, then artificial intelligence and machine learning in robotics will replace human-intensive requirements.


To summarize, the current global scenario shows the widespread role of artificial intelligence in robotics in almost every sector.  Whether in agriculture, healthcare, education, automobiles, or manufacturing industries, machine learning in robotics is on the massive influx. From handling the carton boxes at warehouses to doing medical operations remotely with acute precision, artificial intelligence and machine learning in robotics is performing unbelievable actions making certain tasks easier. The constant requirement for better innovations and adequate awareness will disrupt every sector in the upcoming decades. Thus, making the role of artificial intelligence in robotics a necessity.


Q1. Is robotics and artificial intelligence the same?

Robotics and artificial intelligence are often mixed but both are distinct with some crossover.

Q2. Can I learn machine learning technology to enhance my career?

You can join Henry Harvin’s artificial certified course which offers a job guarantee after completion.

Q3. In which field is the role of artificial intelligence in robotics significant?

Precise machine learning in robotics can be seen in almost every sector in the last decade and is growing exponentially.

Q4. What are the major artificial intelligence technologies?

Speech recognition, visual image technology, robotics automation, text analysis, deep learning, cognitive image recognition, and many more.

Q5. Does the Google search engine use AI?

RankBrain is an algorithm that uses artificial intelligence technology.  Google search engine works on this algorithm to process search results from users.

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