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"

Robot caterpillar demonstrates new approach to locomotion for soft robotics

Researchers have demonstrated a caterpillar-like soft robot that can move forward, backward and dip under narrow spaces. The caterpillar-bot's movement is driven by a novel pattern of silver nanowires that use heat to control the way the robot bends, allowing users to steer the robot in either direction.

March 24, 2023

In "AI/ML News"

AI Generated Robotic Content