Dancing robots. Kung-fu moves. Humanoid acrobatics all over the feed.
But does that mean Physical AI has actually arrived?
In this episode, Clemens, Principal Engineer at RobCo, shares what Physical AI really means for industrial automation and where the technology stands today.
You'll gain insights into:
why Large Language Models are just the starting point and what comes afterhow robots are being taught today compared to five years agohow RobCo approaches Physical AI in real manufacturing environmentswhere the technology stands today and what accuracy rates actually matter in practiceWebsite: https://www.rob.co
LinkedIn: https://www.linkedin.com/company/robco-therobotcompany/
Instagram: https://www.instagram.com/robco_therobotcompany/
00:00 Intro
00:48 Where physical AI stands right now
01:41 From chatting to grabbing: the next AI leap
02:43 Why physical data is so hard to collect
04:35 What physical AI actually means at RobCo
06:16 Why 100 years of automation hit a wall
08:18 The five levels of robot autonomy
13:27 Hardware, software, data
15:15 Why end-to-end ownership changes everything
16:19 Teaching a robot in a few hundred moves
18:09 Why software turns a robot into a brain
19:07 Why modular beats fixed automation
22:04 Real use cases already running in factories
24:26 How many nines does a production line need?
28:20 The moment factories realize everything changed