Robotics visual perception can generate two important types of information - geometry and semantics. The former has been well developed by several major players in the market, while the latter poses a higher technical barrier and therefore has become the focus of this job position.

This project is established for a key purpose of driving products that will democratise spatial perception of future autonomous and tele-operated robotic systems. Vilota specialises in vision perception solutions for mobile robots to achieve autonomous navigating capabilities in GPS-denied environments.

The target and emphasis are to grow a suite of vision sensors and further develop an advanced vision perception software stack.

To achieve scalable autonomous applications, we currently develop a set of algorithms to recognize navigational-related features (like road signs and markings) common obstacles (like windows, doors, trees, and other mobile robots), and to further reason about the interrelationships of the objects in an image.

In this project, candidate will build upon the existing deep-learning frameworks currently being used by the industry.