Smart robots: Machine learning drives collaboration, continual improvement

AI in robotics

This edition of Chief Technologist Ahmad Bahai’s quarterly Tech Trends column features a conversation about the future of robotics and machine learning in the factory of the future.

Robots have operated in manufacturing environments for decades and transformed industries ranging from automobiles to consumer goods. Traditional industrial robots operate within a safety barrier, but a new generation of robots is being designed to learn and collaborate with workers in factories and warehouses.

Innovative semiconductor technology and internet-based artificial intelligence are enabling these machines to improve their own performance and become the foundation for advanced manufacturing.

In a conversation with Stephanie Watts Butler, a technology innovation architect at our company, TI Chief Technologist Ahmad Bahai discusses topics from our recent white paper, Machine learning powers autonomous industrial systems. Click here to listen in as Ahmad explores how machines can learn from their interactions with the real world around them, collaborate with humans and have an impact on applications ranging from automobiles to smart factories.

“Today, robots are part of our lives,” Ahmad said. “They are going to be working side-by-side with humans in factories, assembly lines, medical and clinical facilities, and sometimes maybe at home. For a robot to work in these environments, they need to have a lot of intelligence and a lot of sensing capabilities.

“We are at the point that technologies are efficient and affordable enough to enable applications that weren’t imagined just a few years ago.”