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Robots need to understand context to do their job well. The understanding of auditory context in a social setting can enable robots to perform self-directed action and to initiate interactions. This workshop is an introduction enabling robots to recognize and respond to contextual sound cues and to design appropriate behaviors and interactions in reaction. We will integrate interactive sound recognition capability into simple robots. People with existing robot platforms are invited to bring their own robot to work with; we will provide basic robots to everyone else.
- ... explore the interaction design space for robots in the acoustic context.
- ... explore how to collect datasets and use them for (re)training Neural Nets for your interaction concept.
- ... build a robot system that can react and move to the auditory cues.
This workshop is set up as two Sunday sessions with two mid-week evening building and crit sessions. This is intended to make attendance possible for working professionals.
| Sunday (August 7th) | Tuesday (August 9th) | Thursday (August 11th) | Sunday (August 14th) |
|---|---|---|---|
| Inspiration 11am - 12pm | |||
| Tools and "How to" 1pm-2pm | Robot building + clinic 5pm-6:30pm | Robot building + clinic 5pm-6:30pm | Finalizing projects 1pm-4pm |
| Brainstorming & Early Sketches ~2pm-4pm | Critique ~7pm | Critique ~7pm | Project presentation & Drinks 4pm-~7pm |
Materials: RPI or equivalent Microphones and servos. (provided) Requirements: Laptop Intended Audience: Roboticists, Researchers, Hobbyists, Tinkerers Format: This workshop will feature evening workshop hours (see above for specific hours) Workshop fee: $100 registration fee plus $150 for materials kit
Guy Hoffman is an Associate Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. His research group studies the engineering and social aspects of interactions between humans and robots with the goal of designing robots that best support human values. He holds a PhD from the MIT Media Lab, and an MS in Computer Science from Tel Aviv University.
David Goedicke is a PhD candidate in Information Science based at Cornell Tech. He designs and develops prototypes to explore how people could interact with technology in the future. My thesis work explores how contextual sound can help picking the right behaviors for robots.