Artificial intelligence has proved its worth every now and then. AI and machine learning can even help make decisions based on the classification of data in the real world. On the other hand, Robotics is an area within science and engineering that focuses on creating Robots that replicate human action. In other words, Robotics can certainly assist in manipulating the objects in this space. And, when both combined together could bring a very powerful combination making automation even more progressive and intelligent.
Robots may depend on AI for various decision-making data, programmed for improving their performances. Putting it simply, AI can offer Robots the computational vision. Hence, allowing Robots to sense, compare, navigate as well as calculate their own actions.
Isn’t that the reason why the demand for robots is increasing with time? According to research, the worldwide expenses on robotics is expected to rise above $230 billion by 2021. These numbers certainly point towards a future that is backed with AI and Robotics, hand in hand.
Different Type of AI Used in Robotics
Artificial intelligence could empower robots in decision making. And, at the same time, it can help these machines feel the emotions for real. Definitely not as humans, but comparing the data sets processed through machine learning. The prospects are huge.
However, depending on the use case scenarios, and expectations by different robots, the different AI has come into use. Here are the various AIs used in Robotics:
Using weak AI or artificial intelligence, one can help robots mock the thoughts as well as interaction as if, it’s coming from a human being. In such cases, the algorithms within the robots are designed with predefined commands. And, for each command, there are predefined responses or an array of replies.
When this type of AI comes into play, the robots do not have calculating capabilities. They just apply the command and retrieve the suitable response from their database to answer the query. And, what could be the easiest example, if not Alexa and even Siri.
After you begin sending commands, these AI searches for the best answer and bring it to you, without doing any comparisons or thinking. Hence, the name, weak AI.
Now, this is when you would feel more excited to explore the depths of Robotic science. With the assistance of strong AI, experts can create robots that are capable of performing without any help from a human being. Do not trust me? I have got pretty much believable examples.
Haven’t you heard of robotic arms performing surgeries inside operation theatres? How about the self-driven cars which can sense the surrounding and change its pace, direction, path as a response to the same. Moreover, strong AI is becoming dominant in humanoid robots.
Robots with specialized AI tend to perform repetitive tasks better than anyone else. These types of robots are highly in demand within the industrial sector. Either it’s painting or sorting or various other repetitive tasks, if you are looking for a hand to get that work done without much hassle, specialized AI-driven robots are the choices.
However, you must note that these robots are designed for restrictive jobs and can only perform what they have been programmed for.
Examples Illustrating the Application of AI in Robotics
The inclusion of AI and machine learning is surging with time. The use of robotics perfected with AI solutions has started nudging almost every niche out there. And, the manufacturing industry is among those sectors that have been benefitted the most. There are many other industries too.
Let us find out some of the examples where robotics and AI are helping to shape the workflow of various industries.
AI, as mentioned before could help empower robots and their decision-making capabilities. AI is becoming the most crucial tool for robotic assembly applications. Along with other technologies as substituents, AI can play a major role in various assembly processes.
For instance, together with advanced vision systems, AI can process course correction. And, where else it could be more beneficial if not the complex manufacturing niches like aerospace. The benefits do not end here. AI can assist a robot in learning itself. It can help a robot find out the best paths suitable for particular applications while it’s still in operation.
The retail industry are based on a number of internal, human dependant processes that take up a lot of time. And, one such process is the packaging. However, with the help of AI-enabled robots, one can process the tasks faster and smoother.
As explained earlier, AI can help robots learn from their experiences. And, the same is very helpful in setting a chatbot at hotels or customer service fronts. By leveraging natural language processing, these robots can actually talk in a way that seems closer to humans. The best part is that the robots can refine their responses with time.
To put it in a different way, robots can learn more when they interact with humans.
Artificial intelligence uses algorithms and codes to replicate the intelligent behavior of humans into robots. The researches around AI focuses on bringing more automated solutions for the users. For instance, researchers are trying to figure out algorithms that can help robots learn prominent intelligent decision making and learning traits of humans and grow with experience with minimal human intervention.
From e-commerce to medical science to many other sectors, AI has been helping reach unexpected goals within different sectors. And, robotics isn’t indifferent to this change too. With an increase in demand, there have been many robotic systems that are available as an open-source code leveraging artificial intelligence. Hence, letting one prepare their robots for custom jobs for specialized applications.
Robotics with the inclusion of AI can trigger a plethora of opportunities for humans. Giving robots more dimensions to their skill sets. And, an ability to perform better and accurate for higher profitability.