MAN Steam Turbine (666X1024)

Blade of a wind turbine positioned for installation [1280×960]

Source: https://openpics.aerobatic.io/

A Water Meter [1992×1478]

Source: https://openpics.aerobatic.io/

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Optimal traction on the fly with White Crow tire pressure adjusting hubs

実用車用でパンク防止の為のポンプ機能付きのハブあったけど、積極的に空気圧を変えたいFATならではなのかな。 ハンヴィーみたいだ。

Why Tactile Intelligence Is the Future of Robotic Grasping 

This is a guest post. The views expressed here are solely those of the author and do not represent positions of IEEE Spectrum or the IEEE.

The simple task of picking something up is not as easy as it seems. Not for a robot, at least. Roboticists aim to develop a robot that can pick up anything—but today most robots perform “blind grasping,” where they’re dedicated to picking up an object from the same location every time. If anything changes, such as the shape, texture, or location of the object, the robot won’t know how to respond, and the grasp attempt will most likely fail.

Robots are still a long way off from being able to grasp any object perfectly on their first attempt. Why do grasping tasks pose such a difficult problem? Well, when people try to grasp something they use a combination of senses, the primary ones being visual and tactile. But so far, most attempts at solving the grasping problem have focused on using vision alone.

IEEE Spectrum

15.06.30

some piston-porn

(via 7b10919ae4b3dbfc910a0eab69a33c53.jpg (1000×789))