Engineering & simulationphysics-based machine learning model124 updates per second
The team used a physics-based machine learning model to predict leg kinematics and adjust motor support in real-time, reducing latency from one second to 124 updates per second.
“these folks decided to use a physics-based machine learning model, which means, you know, it has algorithms running physics equations, basically, that can tell it, you know, the kinematics of, if I'm moving my leg this way, it probably means this is the trajectory I'm going. So, you know, adjust with me. Don't fight against me when I'm doing that. And they said it's updating about 124 times per second.”
Speaker 1 · Hear it at 11:06