Traditionally, field painting remains full day affairs requiring five member crews, over $500 in materials, and custom stencils, running $3,000 each. It’s labor intensive, time-consuming and leads to inaccurate, inconsistent results. Enter Hue, a fully autonomous robot, which utilizes advanced image processing, precision control, and military-grade localization to make field painting faster, more accurate, and far more accessible. Through a combination of our user interface, custom navigation algorithm, and onboard hardware, Hue creates an effortless user experience. The customer first uploads their image and adjusts it to their desired size and location, then prepares and deploys the robot. Hue then takes the customer’s specifications and generates a series of waypoints to follow and subsequently paint.
The result is an accurate image, painted quickly, with minimal user intervention. The better we know the robot’s position, the better the image. Hue uses an innovative two-GPS solution.
Members: Sarah Fahmi, Jake Donnini, Yien Kung, Ethan Ma, Eric Wang, Emmet Young Faculty
Advisor: Kostas Daniilidis