Cutaway Maytag Model 72 Washing Machine Engine. [800x600]

Ceramic laser automotive spark plug [825 × 536]

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

(via grinding-weld.jpg (700×441))

General Electric

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