SpaceX CEO Elon Musk has been a central figure in the rise of robotics in the last decade, both as a builder of robotics, as well as a user of robotics, with the company he leads. Despite progress across the field of robotics in recent years, there are aspects of implementation that haven’t always been so smooth.
“One of the biggest mistakes we made was trying to automate things that are super easy for a person to do, but super hard for a robot to do.”
The age of automation
When his past company Tesla was incorporating more automation and elements of robotics into its production of the Tesla Model 3 in 2018, the company ran into various issues.
Quote of the day
This article is part of TechRadar Pro’s QOTD project to provide an insight into the minds of the brightest and most recognized figures in the technology industry today and in years gone by. Read the full series here.
Elon Musk summarized the issue while issuing comments during a shareholder meeting in June that year, suggesting the approach to automation wasn’t conducive to actually increasing productivity.
Specifically, the robots installed struggled with automating final assembly tasks (such as placing flexible trim pieces and hoses) – with Musk also later tweeting that the company made a mistake in implementing “excessive automation”.
The lesson was that automating anything and everything within scope was a mistake because there were certain tasks that humans are, and continue to be, strong in. Qualities that robots have, and continue to, lack may include dexterity and cognitive reasoning.
The future of robotics
Tesla’s push into robotics has continued at pace since then, with the company’s Tesla Optimus soon to enter mass production with a targeted $25,000 retail price.
But whether the technology has advanced enough to make a mark remains to be seen. These qualities include advanced AI, as well as cognitive reasoning and contextual understanding necessary to understand and operate within the physical world.
We’ve seen plenty of examples of humanoid robots that look the real deal – but still cannot engage in tasks that require a high level of dexterity and understanding to perform well in real-world scenarios.
https://cdn.mos.cms.futurecdn.net/7pPfRtCp7wMtHKjTH2GRVN-1920-80.jpg
Source link
