Hi, my name is Nalin Gupta, co-founder & CEO of Auro Robotics (startup behind this product). We realized that while all big automobile companies & Google are racing for passenger car market, there is an equally compelling need to advanced mobility systems at campus environments such as universities, resorts, large industrial sites, theme parks etc. Moreover, being private properties, they are free from government regulations around autonomous driving, and they offer a much more controlled environment to deploy early on. And hence started the journey. We now have a fully functional prototype being piloted at universities in Bay Area.
Interested to know how this sort of research-based startup fits into the YC approach. I imagine they don't exactly have 7% week over week growth! What metrics do you use to measure success, before you have a significant flow of sales?
@benjiwheeler With the advances in the last 5-10 years in computer vision and GPS tracking, I think a project like this could be moving (hah) from research to product.
@benjiwheeler Example of metrics relevant to our business can be - no. of trips done, no. of passenger-miles driven autonomously etc, and these numbers can (and should) keep growing at x% week over week.
Interesting. Could be a useful tool for getting disabled students around campus. The DisGo cart service at Stanford is particularly understaffed (https://oae.stanford.edu/disgo-c...). I'd be curious how well it recognizes stop signs and navigates twisty/odd campus pathways though.
@andrewjdupree Bingo! You are absolutely correct. We are working with a couple of university campuses in Bay Area who have exactly this type of pain point, but have no efficient solution (until now!).
We create a 3D map of the environment before deploying self driving shuttles. This map is tagged with meta-information such as stop locations and road topography. On-board GPS on the vehicle and other localization techniques (such as correlating current laser scan with prior map data) help of precisely locate the current position of the vehicle to cm level accuracy. Being a small vehicle with small turning radius helps it to navigate twisty roads as well.
Auro Robotics
Auro Robotics
Auro Robotics