A smart robot is no longer science fiction. While traditionally, a robot has been defined as any machine that can be programmed to perform a range of difficult or complex assignments/functions, smart robotics as a technology comprises robots that can also collaborate with human beings, learn from its environment/experience and refine or modify its actions accordingly.
The developments in sensor technology and growing interest and investment in smart robotics enabled by Artificial Intelligence and the Internet of Things are forcing organizations to increasingly look at intelligent machines / smart robots to personalize user experience, ramp up efficiency and improve productivity. According to Gartner’s IT glossary, “smart machine technologies learn on their own and can produce unpredictable results. They must adapt their behavior based on experience, learning, not be dependent on instructions from learning on their own, and be able to come up with unanticipated results”.
Smart robotics is no longer confined to conventional sectors like automation and manufacturing. As a technology, smart robotics is undergoing a massive change. It is being deployed for diverse applications across multiple industries like healthcare, retail, agriculture, logistics, and banking, among others. And engineers and researchers are taking advantage of these developments to create intelligent robots of the future.
Even as smart robotics is expected to play a more significant role spanning across various sectors, the lines between artificial intelligence, robotics, machine learning, and deep learning continue to diminish. Greater integration of these technologies is expected to increase operational efficiency.
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