Think You Know Industrial Robots? Think Again

Jim Lawton for Forbes:  Peter Drucker said “Culture eats strategy for breakfast” and in my experience there’s no industry where that wisdom holds more true than manufacturing. I’m not a hardened cynic, just a pragmatist, having spent the majority of my career bringing technology that disrupts the status quo – from inventory optimization and managing risk in the supply base to collaborative robots. Manufacturers are among the most skeptical buyers and for good reason – what they do is hard, complex and things are done the way they are done because it’s been proven to work. There are times though when the opportunity to transform the business is so compelling that – as Drucker said – executives need to spend whatever time is necessary to tear down the cultural barriers that are getting in the way of the strategy that capitalizes on the moment.

In the category of robotics and industrial automation, now is one of those times. It’s been more than 50 years since Unimate went to work at a GM plant unloading heavy parts and welding them onto automobile frames. Manufacturing has changed a lot and today is on an evolutionary path toward the 4th industrial revolution. Unfortunately, while executives may be ready to move quickly toward the factories of the future for first mover advantage, many automation engineers remain entrenched in 20th century thinking about robots — when they were highly customized solutions, designed to perform one task over and over again, with a price tag to match.  Cont'd...

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

IDS NXT - Novel Vision app-based sensors and cameras

IDS NXT - Novel Vision app-based sensors and cameras

App Your Sensor®! What would smartphones be without apps? They would be mobile phones that can't do much more than make phone calls and sending SMS. Apps turn smartphones into intelligent assistants with any number of different tasks. Transferred into the world of image processing, this app-based approach transforms cameras and sensors into customised, smart vision sensors.