#LEARNING TO PROGRAM WITH ROBOTC HOW TO#

But Beksi believed the manual capture method would be too slow to succeed. A manual approach, used by some, involves using an expensive 360 degree camera to capture environments (including rented Airbnb houses) and custom software to stitch the images back into a whole. Years later, now with a research group including six PhD computer science students, Beksi recalled the Roomba training problem and begin exploring solutions. 'In particular, I'm interested in developing algorithms that enable machines to learn from their interactions with the physical world and autonomously acquire skills necessary to execute high-level tasks,' he said. Efforts to train using images with human-centric perspectives failed.īeksi's research focuses on robotics, computer vision, and cyber-physical systems. While there are millions of photos and videos of rooms, none were shot from the vantage point of a robotic vacuum.

Researchers at the company were interested in using machine and deep learning to train their robots to learn about objects, but doing so requires a large dataset of images.

#LEARNING TO PROGRAM WITH ROBOTC HOW TO#

To navigate built environments, robots must be able to sense and make decisions about how to interact with their locale.

Learning to program with robotc