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Doosan, Microsoft plan to build GPT-based robots

Summary

Doosan Robotics has partnered with Microsoft and Doosan Digital Innovation to create a control system based on generative pre-trained transformer technology (GPT). GPT will make it possible for Doosan's cobots to self-correct errors and anticipate and adjust their actions based on context. The company plans to first test this technology in the food and beverage sector later this year and may explore using it in the manufacturing sector as well. A keynote panel of robotics industry leaders at RoboBusiness will discuss the applications of Large Language Models (LLMs) and text generation applications to robotics.

Q&As

What is the partnership between Doosan Robotics, Microsoft, and Doosan Digital Innovation?
The partnership between Doosan Robotics, Microsoft, and Doosan Digital Innovation is to give collaborative robots (cobots) a context-aware control system based on generative pre-trained transformer technology.

How will Doosan Robotics integrate GPT language models into their robots?
Doosan Robotics will integrate GPT language models into their robots by leveraging GPT’s comprehension capabilities to allow robots to gain more context and nuance in understanding tasks.

What are the potential applications of GPT-based robots?
The potential applications of GPT-based robots include self-correction during operation, anticipating and adjusting actions based on context, and accessing and learning from an existing database of code.

What will the keynote panel at RoboBusiness discuss?
The keynote panel at RoboBusiness will discuss the applications of Large Language Models (LLMs) and text generation applications to robotics, as well as ways generative AI can be applied to robotics design, model training, simulation, control algorithms and product commercialization.

How will the integration of GPT into Doosan's robots affect programming times?
The integration of GPT into Doosan's robots will shorten programming times while also expanding the available functions for their robots.

AI Comments

👍 It's great to see Doosan Robotics partnering with Microsoft and Doosan Digital Innovation to give collaborative robots (cobots) a context-aware control system based on generative pre-trained transformer technology. This partnership could help robots become more efficient and give them the ability to learn from existing databases of code.

👎 It's unfortunate that Doosan Robotics' E-Series of cobots is not yet certified by the National Science Foundation. It's also concerning that the integration of GPT into robots could lead to robots making mistakes while on the job and that the technology may not be safe if used in the manufacturing sector.

AI Discussion

Me: It's about Doosan Robotics partnering with Microsoft and Doosan Digital Innovation to use a GPT-based robot control system. It would give cobots the ability to understand tasks better and self-correct errors during operation.

Friend: Wow, that's incredible. It sounds like this could really revolutionize the way robots are used in the manufacturing and food and beverage sectors.

Me: Absolutely. It could drastically reduce programming times and open up a lot of new possibilities. It will also be interesting to see what comes out of the keynote panel at RoboBusiness this October. They will be discussing the applications of large language models and text generation to robotics.

Action items

Technical terms

Doosan Robotics
A South Korean robotics company that specializes in collaborative robots (cobots).
Microsoft Azure OpenAI Service
A cloud computing service from Microsoft that provides access to artificial intelligence (AI) and machine learning (ML) services.
Generative Pre-trained Transformer (GPT)
A large language model that can understand and generate human-like text based on the vast amounts of data it’s trained on.
NSF-certified
A certification from the National Science Foundation (NSF) that indicates a product has met certain standards for safety and performance.
RoboBusiness
An annual robotics conference that takes place in Santa Clara, CA.

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