Written by Priya GeorgeContent Writer
In recent times, it has been found that incorporating artificial intelligence into robotics increases automation capabilities exponentially. As a result, AI in the robotics market is projected to grow by 28.78% over the next five years. Typically, the robotic automation process (RPA) is leveraged to replace mundane, repetitive tasks within companies; however, with AI, new opportunities for productivity, innovation, and cost-effectiveness have been discovered within business operations. By investing in AI and machine learning technologies, companies can expand robot capabilities to carry out more employee functions successfully. There are several benefits to AI in robotics, including:
Create improved robotic perception, natural language capability, and motion planning with AI algorithms that operate with various operating modules.
Robots rely less on human intervention and can self-assess and seek help for solutions, thus reducing downtime.
No longer requires separate teams to handle different robots. Now interaction between mobile and stationary bots is easier.
The transformative potential of AI robotics is unprecedented and is only beginning. In this blog, we highlight what are the trends in the robotics industry observed and speculate on trends to come.
Manufacturing is the industry where AI in robotics is predicted to have the maximum impact. Previously, different software and programming had to be utilized for RPA software and factory automation systems. For instance, RPA is used by companies to automate software processes, while industrial robots are used to automate repetitive mechanical processes. With artificial intelligence, there is improved accuracy in the communication between these two disparate systems. AI with industrial robot technology can enable robots to detect their accuracy and performance and are fed with solutions to overcome primary challenges. With more accurate decision-making, these decisions can be fed to other parts of the enterprise system to improve their overall function. According to reports, most demand for industrial robots is projected to come from the food & beverage, automotive, and pharma industries. Companies are driven to adopt smart factories as soon as possible to drive growth within domestic and international markets.
The primary aim of developing a ‘cobot’ is to create AI or machine learning-enhanced robots that can work alongside their human counterparts, thus boosting the latter’s productivity and overall performance. Traditionally, a cobot’s functionality was very limited to manufacturing use cases such as machine tending and welding; however, with the help of AI and data analytics, cobots can develop machine learning skills: self-improve with increased experience, and make predictions based on predictions. Natural language processing, motion, and object manipulation are essential for human-robot interaction to be more dynamic and flexible. With an AI-driven interface, companies can now access RPA tools that allow them to smoothly orchestrate tasks between internal resources like employees and other bots/information systems- this is particularly useful for call centre employees to provide better call resolution. In healthcare, there is an increase of robots capable of non-clinical duties such as restocking medical supplies by integrating with healthcare records stored electronically. Neural networks and deep learning mechanisms are AI-based methods through which cobots can successfully emulate human abilities even in changing environments and reduce training time significantly.
Retail is another central area of the robotics industry. Due to the pandemic, there was an increased need for delivery robots that could conduct contactless delivery. The demand for autonomous delivery robots will reach over $800 bn by 2026. Such technology relies on machine vision and deep learning algorithms to carry out the multiple tasks involved in delivering successfully. There are other areas within retail that AI in robotics can enhance: for instance, it can provide customer recommendations, manage inventory, conduct quality control, introduce cashier-free shopping experiences, etc. The best example of advanced AI-led robotics in retail is the Amazon Go Store, with zero employees and a complete self-shopping experience.
With the trend of providing XaaS (everything as a service) solutions, companies have started developing RaaS solutions to provide cloud-based RPA solutions to smaller companies. This is due to smaller companies having difficulty leveraging robotics trends due to the high investment costs and need for robotics expertise to implement solutions. However, with rapid scalability and reduced overhead costs, companies can subscribe to specific robotic gadgets that can boost company growth. In addition, with RPA enhanced by artificial intelligence and machine learning, solutions that focus on providing overall services rather than simply automating single tasks, companies can leverage robots as a service solution for several use cases, including improving security systems with AI algorithms or conducting warehouse operations. Most notably, with RaaS, these can be used when human labor is too costly, or there is a shortage.
The healthcare sector is one of the fastest adopters of advanced robotics as they are an industry that relies on vast quantities of data being processed for critical decision-making. There are already several benefits to robotics in healthcare, including appointment scheduling, medical billing, claim submission, etc. With the increasing sophistication of AI, wearable devices can help detect early warning signs of diseases and help doctors monitor patients. Aiding in surgery, conducting research with vast storage capabilities, and carrying out training sessions are some areas where AI robotics comes in handy. Watch our webcast with our robotic process automation expert and Healthcare domain expert from UiPath to discuss how intelligent robotics is transforming the healthcare industry in the simplest ways.
Besides advanced industrial and mobile robots, other trends in the robotics industry include its increased usage in processing job applications and conducting rudimentary selections, maintenance robots that help carry out routine tasks, and open employees to explore innovation within their job roles.
The future of robotics is bright with the increasing use of emerging technologies. With better training, autocorrection, and self-learning capabilities, robotics can become more efficient, thus reducing power and resulting carbon footprint.
However, implementing the latest robotics trends efficiently and effectively within enterprises is easier said than done. That’s where Royal Cyber RPA experts can help. With our up-to-date knowledge of the latest trends and technologies and advanced bots in production, we can offer end-to-end solutions for various use cases across multiple industries, including: