Brain-Inspired Robot Controller Uses Memristors for Fast, Efficient Movement

Recommendable!

"... In a paper published today in Science Robotics, a team of researchers from the University of Southern California in Los Angeles and the Air Force Research Laboratory in Rome, N.Y., demonstrate a simple self-balancing robot that uses memristors to form a highly effective analog control system, inspired by the functional structure of the human brain. ...
By adding a memristor to an analog circuit with inputs from a gyroscope and an accelerometer, the researchers ... created a completely analog and completely physical Kalman filter to remove noise from the sensor signal. In addition, they used a second memristor can be used to turn that sensor data into a proportional-derivative (PD) controller. ..."

Brain-Inspired Robot Controller Uses Memristors for Fast, Efficient Movement - IEEE Spectrum Memristors could enable significant performance increases for mobile robots

Here is the link to the respective research paper (subscription required; extremely short abstract):

Analog-digital computing let robots go through the motions | Science Robotics