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Microsoft announces ChatGPT for robotics

  • February 24, 2023
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Microsoft’s recent announcement that the company has introduced ChatGPT (based on the updated GPT-4) on the company’s Bing search engine surprised the world and lured many users into


Microsoft’s recent announcement that the company has introduced ChatGPT (based on the updated GPT-4) on the company’s Bing search engine surprised the world and lured many users into the artificial intelligence scam. However, Microsoft seems to be bringing artificial intelligence not only to the online market but also to the offline market.

As recently announced on the company’s official blog, Microsoft’s Autonomous Systems and Robotics Research Group recently published a research paper on ChatGPT for robotics, which allows text-based robots to directly control physical robots. ChatGPT for Robotics aims to help people interact with robots more easily without having to learn complex programming languages ​​or detailed knowledge of robotic systems.

Here is a comparison chart between today’s robotics and ChatGPT for Robotics:

Robotics today ChatGPT for Robotics
Today’s robotic pipelines start with an engineer or technical user who needs to translate task requirements into code for the system. An engineer sits in a loop, meaning they have to write new code and features to fix the robot’s behavior. Overall, this process is slow (the user needs to write low-level code), expensive (requires highly skilled users with deep knowledge of robotics), and inefficient (requires multiple interactions to function properly). ChatGPT unlocks a new robot paradigm and allows the (potentially non-technical) user to stay in the loop by providing high-level feedback to a major language model (LLM) while monitoring robot performance. Following a set of design principles, ChatGPT can generate code for robotic scenarios. Users can use LLM knowledge to control different robot form factors for various tasks without any tweaking.
One person is needed to translate language instructions into programming instructions. ChatGPT translates language instructions into programming instructions
Debugging requires a human ChatGPT does the debugging part
The process is slow, expensive and inefficient. The process is faster, cheaper and more efficient.

In a research paper and blog post, Microsoft’s research team showcases numerous examples of ChatGPT’s intuitive voice control of robotic arms, drones and assistive robots, as well as solving robotic puzzles.

The document also explains the various challenges faced by the team as the product is still in development. However, Microsoft’s research team says their research is only a small part of what’s possible at the intersection of major language models working in robotics, and they hope more is to come.

Microsoft said the tech giant believes speech-based control of robotics will be fundamental to bringing robots from science labs and into the hands of everyday users.

Source: Port Altele

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