AI + Digital Twin Simulation + Robotics = the Future

AI + Digital Twin Simulation + Robotics = the Future

As we opened our new Headquarters this week, we hosted an inspiring panel discussion that delved deep into the future of robotics and automation.

Our panelists from NVIDIA, Siemens, and Teradyne Robotics, shared their expertise and visions for the future.


You can watch it on YouTube.

..or listen to it as a podcast:

Listen on Apple

Listen on Spotify


But don't worry if you don't have time right now - Here's a quick recap of some key highlights:


Introductions:


Emerging Technologies

  • Generative AI: Deepu highlighted the game-changing potential of generative AI, coupled with simulation and digital twin technology. These advancements are poised to revolutionize robotics in the coming years.
  • AI in Automation: Rainer emphasized the role of AI in industrializing automation, making it accessible and scalable for a wide range of applications, from mass production to lot size one.

Collaboration in Action

  • Inter-Company Collaboration: The panelists underscored the importance of collaboration across industry players. Companies like NVIDIA, Siemens, and Teradyne are joining forces to tackle complex challenges and drive innovation forward.
  • Human-Robot Collaboration: Ujjwal highlighted the significance of safety in collaborative robotics, emphasizing the potential for AI to enhance human-robot interactions and safety standards.

Future Outlook

  • Digital Twins and Simulation: Deepu emphasized the power of digital twins and simulation in optimizing efficiency across all aspects of production. These tools enable companies to plan and operate in a virtual environment before implementing changes in the real world.
  • AI for Sustainability: Rainer shared his vision for leveraging AI in sustainable manufacturing, from automating repair processes to optimizing energy usage and resource allocation.


Do you want more?

You can watch the whole thing on YouTube.

..or listen to it as a podcast:

Listen on Apple

Listen on Spotify


If you enjoy conversions about automation and robotics and you want to learn from the best in the world, you should consider subscribing to the podcast wherever you listen to podcasts. Just search for ReAutomated.


Thank you to our panelists and everyone who attended the Grand Opening of our new Headquarters in Odense, Denmark.

Let's continue pushing the boundaries of robotics and automation together!

The global?#digitaltwin market?size in terms of revenue was estimated to be worth USD 10.1 billion in 2023 and is poised to reach USD 110.1 billion by 2028, growing at a CAGR of 61.3% from 2023 to 2028. Get Information Brochure : https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=225269522&utm_source=Sheetal&utm_medium=sheetalp The new #research study consists of an #industry trend analysis of the market. The growth of the digital twin market is driven by the growing demand for digital twin in the healthcare industry and the increasing focus on predictive maintenance.

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MYA XAVIER

APA's Rep at the UN; Member of the UK Drugs Advisory Panel, Forensic Psychologist Lead & Parole Board Member; her last important role was linked to HomeOffice/Health Department Committee into the review of SPD Project.

5 个月

Hi I’m into Part 9 of my Legal Sanctity of Marriage and the subject is to be Robotics/Dolls etc/Ai and how they can help individuals around the home – the kitchen AND elsewhere- and also become couples, if you get my drift, or bring couples together. Have you any articles I should consult and/or any photos I can use to assist my storylines? Thanks Mya

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Patrick Schwarzkopf

Passionately advocating a human-centric approach to robotics + automation

6 个月

This is a great panel discussion: it‘s to the point and highlights the really relevant trends, very well explained. Thanks, Fleur, your moderation was great and brought out the interesting stuff. Insightful!

Chris Bates

Inspiring the next generation of engineers / Engineering Educator at Vicksburg Warren School District

6 个月

Instead of building a prototype with materials your FabLab has on hand which may only solve a portion of the problem in a proof-of-concept form, you can have AI to generate a robotic solution and test it in a virtual space, go through the iterative improvement process, and finalize a likely design before taking the time and resources to build that prototype.

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