No materials for the event yet, sorry!
Industrial robots are extremely complex, often resulting from the efforts of numerous software and hardware engineers. While these systems seem far removed from programming languages designed for education, block-based languages like Snap! provide highly relevant paradigms for understanding how non-experts can easily and intuitively use robotics systems. This talk will discuss a series of case studies using Snap! with a Digit, a human-centric, bipedal robot designed for work in warehouses. Snap! blocks have enabled people without previous expertise to experience what is possible with a state-of-the-art robot, leading to more engaging outreach efforts and providing crucial lessons about how to make complex systems easy for anyone to use.