Starship is building a fleet of robots to deliver packages locally on demand. To successfully achieve this, the robots must be safe, polite and quick. But how do you get there with low computational resources and without expensive sensors such as LIDARs? This is the engineering reality you need to tackle unless you live in a universe where customers happily pay $100 for a delivery.
To begin with, the robots start by sensing the world with radars, a multitude of cameras and ultrasonics.
However, the challenge is that most of this knowledge is low-level and non-semantic. For example, a robot…
Deep learning engineer at Starship Technologies with background in statistics and machine learning (MILA, University of Toronto, University of Tartu).