Using the physics of airflows to locate gaseous leaks more quickly in complex scenarios

Engineers are developing a smart robotic system for sniffing out pollution hotspots and sources of toxic leaks. Their approach enables a robot to incorporate calculations made on the fly to account for the complex airflows of confined spaces rather than simply ‘following its nose.’
Using the physics of airflows to locate gaseous leaks more quickly in complex scenarios

Giving robots a better feel for object manipulation

A new learning system improves robots’ abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based particle simulator, could give industrial robots a more refined touch — and it may have fun applications in personal robotics, such as modelling clay shapes or rolling sticky rice for sushi.
Giving robots a better feel for object manipulation