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Artificial intelligence (AI) stands poised to radically transform the field of robotics and automation, unlocking new capabilities and applications that have long been contemplated in science fiction but are only now becoming realities.

The fusion of AI software with robotic hardware and mechanical systems will drive tremendous change across nearly every industry, job type, and domain of life in the decades ahead. Comprehending both the potential upsides and possible downsides to this technological evolution will prove critical.

A major limitation of traditional robotics has been the immense difficulty involved in translating raw sensor data into usable insights upon which to take informed, contextually relevant actions. Human toddlers quickly intuit intricate concepts about the physical world that allow them to manipulate objects, navigate spaces, and communicate. Yet these basic cognitive capabilities have confounded even the most advanced robots.

Artificial intelligence paradigms are providing breakthroughs. Deep neural networks can now analyze visual data, speech signals, and text to recognize patterns and semantic relationships that long evaded rule-based programming. Instead of having highly structured environments custom engineered for them, this allows robots to operate in the same unconstrained spaces that humans easily traverse.

Computer vision utilizes AI techniques like convolutional neural networks (CNNs), region-based convolutional neural networks (R-CNNs) and others to process and understand photographic images and video feeds. This enables crucial new robot skills:

See more here:
The Coming AI Robotics Revolution: Applications, Impacts, and Critical Considerations - Medium