#202 - Andres Milioto - Senior Vision Engineer, Scythe Robotics

“The main idea of our approach is to not really remove the human, but work with the human in tandem to scale up the workforce, so the human is doing highly creative and high dexterity tasks that humans can do better than robots.”

What would you define as automotive? Sure there are the cars, motorbikes, vans, trucks and so on. But what about lawn mowers?

We are stretching the definition of automotive in this edition of the AI in Automotive Podcast. And you will see why. Today we are speaking to Andres Milioto, a Senior Vision Engineer at Scythe Robotics. This company has developed an all-electric, fully-autonomous commercial mower, which, needless to say, uses machine learning extensively, primarily for perception.

The way the Scythe team has identified this very unique - but very large problem - and solved it using machine learning - I find that really cool. They are well on their way to solving two of the biggest problems this very traditional industry is facing - a perennial labour shortage, and pollution.

I was keen to bring Andres on the show to gain a deeper understanding of the similarities, and most importantly, the differences between Scythe Robotics’ application of autonomous technologies and what we might consider more conventional autonomous driving applications.

I hope you enjoy this very unique episode of the AI in Automotive Podcast.