A couple of years back, Trammell Hudson brought me in to Two Sigma to consult on a project they were putting together. To keep their quants sharp, they undertake regular challenges that require them to tackle an emerging technology.
Mark Micire (research scientist at the Intelligent Robotics Group at NASA Ames) and Yun Kyung Kim (human-robot iInteraction designer at NASA Ames) were incredibly generous in offering me an opportunity to speak with the AstroBee and Super Ball Bot groups at NASA Ames. We’ve been keeping an eye on Super Ball Bot over at Super-Releaser, particularly because of the way the teams working on it are bringing simulation and iterative prototyping together to solve the open-ended problems involved in designing a robust control system for bots that can configure themselves into nearly infinite shapes.
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I’ve been working on this project for a few months, focused on changing how soft robots get designed and made. Traditionally these robots are complex to design and build, and they require and unexpectedly large amount of hand labor to stitch together. This ends up with parts being produced slowly, with small deviations from known working designs. I’ve been trying to come up with a method that allows you to design a robot in CAD, queue up the design on a powder printer, cast silicone into the printed mold, and pull out a working robot. The idea is to allow for a huge variety of geometry, experimentation, and prototypes that are quick and inexpensive to produce. I want to make the process a whole lot more like a scientific experiment, where you test and observe multiple samples while adjusting a single variable.
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