Robotics Impacting Automotive Manufacturing

Robotics Impacting Automotive Manufacturing

Manufacturing Technology Insights | Monday, September 12, 2022

With activity in the robotics space showing no sign of slowing down, innovative developments can be expected in the upcoming year.

FREMONT, CA: The surge in demand for robotics is anticipated to remain as manpower shortages in the manufacturing sector worsen. Additionally, software intelligence is enhancing the adaptability of robots, cutting adoption barriers, and making it simpler for new users to start automating. The end effect is that robotic technologies are more commonplace than ever.

The pandemic advanced numerous global megatrends, including the individualised consumer, the increasing need to operate sustainably and resiliently, labour shortages, supply chain unpredictability, and robotic automation, which caused new firms to turn to these trends. As technology creates new potential for satisfying consumer wants, new trends will emerge that will further fuel demand in industries where robots have not previously been deployed.

Automotive supply chains may be affected if manufacturers shift away from producing internal combustion engines to electric vehicles due to stricter emissions restrictions and fuel economy criteria. This is because internal combustion engine vehicles do not need many of the components that electric vehicles do.

In order to achieve sustainability standards, automotive companies will particularly focus on bringing battery manufacturing as close as possible to vehicle assembly. Autonomous mobile robots (AMRs) will probably be heavily utilised in these new facilities to enable more modular and flexible production.

As mass customisation continues to dominate consumer product markets, businesses must find novel ways to modify their manufacturing facilities and delivery systems to support personalisation during both the manufacturing and delivery phases. The deployment of increasingly mobile, adaptable, and intelligent robotic technology will be necessary to meet these objectives.

The development of lighter, more compact robotic applications will result from this trend, allowing for the extension of automation into new warehouse and distribution activities. Expect to see these technologies implemented alongside AMR technologies, orchestrated and managed by intelligent software to provide more flexibility, speed, and efficiency, as artificial intelligence in robotics develops and learning robots become commonplace.

More cheap robots with collaborative capability and simple programming will continue to expand in smaller businesses with less robot usage experience. Collaborative robots appeal to high-mix, low-volume producers who use CNC machines to produce parts and components for other businesses because they can operate side-by-side with people to help with chores like machine tending. Additionally, the developments in software intelligence that enable this adaptation and response could aid robots in settling into new contexts, including buildings, medical labs, dining facilities, and retail stores.

Robotics education will be necessary for basic and secondary schools and colleges, and universities as robots become increasingly prevalent in society.

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