Automotive

Scientists create a neural network for adaptive shock absorbers

Scientists at South Ural State University have proposed an effective low-level controller based on an artificial neural network with a time delay for an adaptive shock absorber. Yuri Rozhdestvensky, DSc, and his research ...

Robotics

Research could advance soft robotics manufacturing and design

Soft robots use pliant materials such as elastomers to interact safely with the human body and other challenging, delicate objects and environments. A team of Rice University researchers has developed an analytical model ...