Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots

Tuesday, May 21, 4:20 PM - 4:50 PM
Summit Track: 
Technical Insights II
Mission City M1-M3

How do you design robots that are aware of their unstructured environments at a consumer price point? Excellent sensing is required but using low cost sensors. By fusing data from multiple sensors and making sure every sensor does multiple jobs (like the hidden sensors in your camera ISP), we can achieve rolling shutter correction, drivable space understanding and other applications. Careful sensor selection with a focus on ultimate customer utility, data bus architecture with a plan for fusion, and full understanding of the inner workings of each sensor can make all these fusion tasks easier and reduces computational complexity. This talk will cover the pragmatic approach we use for hardware design and some of the design choices to enable sensor fusion we made across multiple generations of products. We will also give an overview of how information is fused from multiple sensors in order to make robots that feel alive and aware of their surroundings.


Daniel Casner

Systems Engineer, Anki (former)

Daniel is a robotics systems engineer with broad technical depth from atoms to AI and 10+ years of hardware ecosystems experience. He has spent time building undersea autonomous vehicles, Internet connected industrial equipment, extreme aerospace systems and consumer robots bringing real AI into peoples’ hands. Anki created and mass produced AI enabled, consumer robots with advanced sensing and emotional intelligence from 2012 through 2019. Daniel holds a BA in Physics from Lawrence University and an MS in Computer and Systems Engineering from the Rensselaer Polytechnic Institute.

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