Benjamin Gibbs

Otium delenda est.

Building something new.

[Benjamin Gibbs @BGGthoughts]

It's better with the sound on.

[Benjamin Gibbs @BGGthoughts]

sorry but this is like saying "hey let's change the Coca-Cola brand up"

[Kyle Anthony Miller @kyleanthony]

We need to rebrand this company ASAP

[Benjamin Gibbs @BGGthoughts]

@aphysicist Wire harnesses remain one of the biggest bottlenecks in manufacturing. I'm glad to see companies tackling it!

[Benjamin Gibbs @BGGthoughts]

@ADoricko @Molson_Hart is that offer open to anyone @ADoricko?

[Benjamin Gibbs @BGGthoughts]

@AricRecker I love manufacturing

[Benjamin Gibbs @BGGthoughts]

It's better with the sound on.

[Benjamin Gibbs @BGGthoughts]

@Robotbeat Nope, IFR stats are just robot arms.

[Benjamin Gibbs @BGGthoughts]

@adamgluck @CubedUnit @chris_j_paxton @ReadyRobotics @DanGrover I think it goes deeper than debt though: China can produce a lot more steel a lot cheaper than anyone else, which let's them build a lot more cheap steel robot arms.

[Benjamin Gibbs @BGGthoughts]

@adamgluck @chris_j_paxton @ReadyRobotics @DanGrover I just realized I was looking at an older stat... And China installed 290k robots last year, not 140k.

[Benjamin Gibbs @BGGthoughts]

@Noahpinion I'm curious to see how the density numbers get calculated. All the stats say China has a higher robot density. But the same source of those stats say that:
Total robots installed in China: 1,501,535
Total robots installed in USA: 365,052

Still big cause for concern.

[Benjamin Gibbs @BGGthoughts]

One other thing to consider when it comes to the narrative around the US not being as good as China when it comes to installing robots: relative size.

China employs 128M people in manufacturing. They installed ~140K robots.

The US employs 12.1M people in manufacturing. We installed ~40K robots.

They have 10x the workforce yet only installed 4x the number of robots.

This isn't to say that we shouldn't be doing better, we should be. This is to say that we will never brute force a solution here, we will only get ahead by creating better technology faster than others.

So let's get back to building the future @adamgluck @chris_j_paxton @DanGrover

[Benjamin Gibbs @BGGthoughts]

All the complexity adds a whole lot of friction to the process of deploying robots. We're working on solving the software complexity layer here at @ReadyRobotics, but that is only one piece of the puzzle!

I deeply believe that solving for the software complexity will significantly reduce the friction of managing robot cells once they're deployed, but we don't have magic technology that solves the friction of the design and implementation.

You need a whole team of specialists to deploy a single robot cell.

This is why ultimately large enterprises will establish an internal team to build and install robot cells, as well as relying on systems integrators.

[Benjamin Gibbs @BGGthoughts]

I think the real answer here is that we discovered a lot of fundamental platform theories like the Einstein Field Equations and the Dirac Equation that fueled a generation of new science and technologies. We haven't really discovered something that fundamental this century.

[Ben Kohlmann 🇺🇸 @benkohlmann]

What was in the water during the 1960s?

I’m here at Idaho National Labs doing a 2-day deep dive on nuclear power.

Every 15 minutes they say “…and this was invented in the 60s.”

Cracked engineering generation.