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AI in robotics: Problems and solutions
Robotics is a diverse industry with many variables. Its future is filled with uncertainty: nobody can predict which way it will develop and what directions will be leading a few years from now. Robotics is also a growing sector of more than 500 companies working on products that can be divided into four categories:To get more news about GRS, you can visit glprobotics.com official website.
According to the International Federation of Robotics data, 3 million industrial robots are operating worldwide – the number has increased by 10% over 2021. The global robotics market is estimated at $55.8 billion and is expected to grow to $91.8 billion by 2026 with a 10.5% annual growth rate.
The field of robotics is facing numerous issues based on its hardware and software capabilities. The majority of challenges surround facilitating technologies like artificial intelligence (AI), perception, power sources, etc. From manufacturing procedures to human-robot collaboration, several factors are slowing down the development pace of the robotics industry.
Different real-world environments may become challenging for robots to comprehend and take suitable action. There is no match for human thinking; thus, robotic solutions are not entirely dependable.
There was considerable progress in robots perceiving and navigating the environments – for example, self-driving vehicles. Navigation solutions will continue to evolve, but future robots need to be able to work in environments that are unmapped and not fully understood.
Full autonomy is impractical and too distant as of now. However, we can reason about energy autonomy. Our brains require lots of energy to function; without evolutionary mechanisms of optimizing these processes, they wouldn’t be able to achieve the current levels of human intelligence. This also applies to robotics: more power required decreases autonomy.
Elaborate hardware is crucial to today’s robots. Massive work still needs to be performed with artificial muscles, soft robotics, and other items that will help to develop efficient machines.
The above challenges are not unique, and they are generally expected for any developing technology. The potential value of robotics is immense, attracting tremendous investment that focuses on removing existing issues. Among the solutions is collaborating with artificial intelligence.
Robots have the potential to replace about 800 million jobs globally in the future, making about 30% of all positions irrelevant. Unsurprisingly, only 7% of businesses currently do not employ AI-based technology but are looking into it. However, we need to be careful when discussing robots and AI, as these terms are often assumed to be identical, which has never been the case.
The definition of artificial intelligence tells about enabling machines to perform complex tasks autonomously. Tools based on AI can solve complicated problems by analyzing large quantities of information and finding dependencies not visible to humans. We at ENOT.ai featured six cases when improvements in navigation, recognition, and energy consumption reached between 48% and 800% after applying AI.
While robotics is also connected to automation, it combines with other fields – mechanical engineering, computer science, and AI. AI-driven robots can perform functions autonomously with machine learning algorithms. AI robots can be described as intelligent automation applications in which robotics provides the body while AI supplies the brain.