Marc Raibert: preference

Transcript context

…Hiking with the robot. So what did you learn about what it takes to balance a robot like that on a trail, on a hiking trail in the woods? Basically, forget the woods. Just the real world. That’s the big leap into testing in the real world. As challenging as the woods were, working inside of a home or in an office is really harder because when you’re in the woods, you can actually take any path up the hill. All you have to do is avoid the obstacles. There’s no such thing as damaging the woods, at least to first order. Whereas if you’re in a house, you can’t leave scuff marks, you can’t bang into the walls. The robots aren’t very comfortable bumping into the walls, especially in the early days. So I think those were actually bigger challenges. Once we faced them, it was mostly getting the systems to work well enough together, the hardware systems to work. And the controls. In those days, we did have a human operator who did all the visual perception going up the Guadalcanal Trail. So there was an operator who was right there who was very skilled even though the robot was balancing itself and placing its own feet, if the operator didn’t do the right thing, it wouldn’t go. But years later, we went back with one of the electric, the precursor to Spot, and we had advanced the controls and everything so much that a complete amateur could operate the robot the first time up and down and up and down. Whereas it taken us years to get there in the previous robot. So if you fast-forward, BigDog eventually became Spot?…

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