
Unlocking the Potential of AI and Robotics
Machine learning is a subset of AI. Using machine learning, it is possible to design a system where the device learns from its mistakes and automatically compensates for errors as it works.
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CIO Applications Europe | Wednesday, July 29, 2020

Machine learning is a subset of AI. Using machine learning, it is possible to design a system where the device learns from its mistakes and automatically compensates for errors as it works.
Fremont, CA: Robots are complex machines that have been designed to assist humans with difficult and complex tasks. Over the years, robots have evolved significantly in terms of design and technology. Robots are no longer just mechanical in design. They have become smarter and compatible with time and advancements in technology. Recent developments in Artificial Intelligence (AI) have induced evolution and better capacity in robots. The combination of AI and robotics has the potential to revolutionize any industry for the greater good. At the current pace of developments, the combination of the two technologies is likely to happen soon.
In fact, some industries have already begun implementing these technologies to create an excellent product. Recently, Samsung unveiled a bot chef who is capable of preparing people a salad on their command. Delta Airlines has already showcased an exoskeleton that can boost the strength and endurance of the human body. Robotics offers a lot of promises from the creation of artificial limbs to entire suits that can help people perform difficult tasks so much easier. The amalgamation of AI and robotics introduces interesting interplays, and several industries could benefit from the two.
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Machine learning is a subset of AI. Using machine learning, it is possible to design a system where the device learns from its mistakes and automatically compensates for errors as it works. This could be the key to success in combining robotics and AI. People can monitor the performance of robots as opposed to manually performing tasks themselves. The downside of these systems would be that the labor demand for any industry that utilizes these robots will be far less. These robots will have the capability to correct themselves when a small mistake is made and would require human intervention only when a massive, glaring problem occurs.
Machines that are capable of performing tasks and learning from mistakes while on the job are already around. However, the majority of these technologies are costly and involve significant maintenance costs. While businesses through increased demand to drive down prices will eventually make these machines affordable, for the time being, the application of Artificial Intelligence and robotics as a combined unit remains too expensive to apply to routine tasks. A significant distance may be covered in this decade to bridge the gap between the technological benefits and the economic factors.
See Also: Top Robotics Solution Companies
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