Categories: AI/ML News

Unlocking soft robotics control with AI’s cousin: Reservoir computing

Soft robotics—machines made of flexible, muscle-like materials—can bend and stretch in fluid ways that put the rigid robots of old sci-fi movies to shame. But the flexibility that lets them pick ripe tomatoes or navigate a search-and-rescue site comes at a cost: Soft robotics are notoriously difficult to control.

AI’s Leg Up: Startup Accelerates Robotics Simulation for $8 Trillion Food Market

Robots are finally getting a grip. Developers have been striving to close the gap on robotic gripping for the past several years, pursuing applications for multibillion-dollar industries. Securely gripping and transferring fast-moving items on conveyor belts holds vast promise for businesses. Soft Robotics, a Bedford, Mass., startup, is harnessing NVIDIA…

January 20, 2023

In "FAANG"

Fluidic circuits add analog options for controlling soft robots

Robotics researchers, engineers and materials scientists showed it is possible to make programmable, nonelectronic circuits that control the actions of soft robots by processing information encoded in bursts of compressed air.

September 30, 2022

In "AI/ML News"

Robotics: New skin-like sensors fit almost everywhere

Researchers have developed an automatic process for making soft sensors. These universal measurement cells can be attached to almost any kind of object. Applications are envisioned especially in robotics and prosthetics.

July 18, 2023

In "AI/ML News"

AI Generated Robotic Content