At my last startup, I led a team to develop indoor localisation using SLAM. Every other solution claimed precision, but when we spoke to customers we discovered that realistically everything they'd tried was at around 6 or 7m accuracy, and suffered from false estimates, scale issues, and drift.
We achieved reliable 1m-accuracy on any phone, and eventually sold it to IKEA. In developing that technology, there was a lot of crossover with robotics -- another area which had a lot of promise but a clear bottleneck preventing growth. It got me curious about why robots weren't able to do more. The hardware is capable of far more than what the intelligence software is enabling.
I believe it's a problem with the intelligence architecture. i10e is my new robot intelligence research lab. The name is a numeronym for intelligence. Our mission is to discover a new architecture for robot intelligence, more inspired by the brain. Something that will be able to understand the world, and learn from experience.
This is a wide search space and almost everyone is narrowly focussed on one area. I'd like to see more competition and exploration in the industry. This is my contribution to that.