Last Update: February 25, 2023, 08:36 IST
ChatGPT was tested as a language-based interface between a non-technical user and a drone.
Microsoft has conducted research to see if ChatGPT can think outside text and think about the physical world to help with robotics tasks.
To test whether people could use ChatGPT to instruct robots without knowing programming languages or understanding robotics systems, Microsoft conducted research to see if it could think outside of text. And robotics can think about the physical world to help with tasks.
“The main challenge is to teach ChatGPT how to solve problems in the context of the laws of physics, the operating environment, and how the robot’s physical actions can change the state of the world,” Microsoft said in a blogpost.
“It turns out that ChatGPT can do a lot on its own, but it still needs some help. Our technical paper describes a series of design principles that can be used to guide the language model towards solving robotics tasks. This includes, and is not limited to, specialized signaling structures, higher-level APIs, and human response via text,” it added.
After giving ChatGPT access to object-detection and object-distance data through an application interface, Microsoft researchers investigated its ability to generate code, mostly in Python, for robotics scenarios such as zero-shot planning and code generation. .
As the AI chatbot was trained on a large amount of code and written text, it can generate code.
According to the researchers, the system can solve coding problems and debug programs, as well as respond to conversations and ask for clarifications.
In addition, ChatGPT was tested as a language-based interface between a non-technical user and a drone with these dialogue and explanation capabilities in mind.
The researchers note that while GPT-3, LaMDA, and Codex demonstrated good results when it comes to robotics planning and coding, ChatGPT “stands as a potentially more versatile robotics tool because it combines natural interaction with flexibility.” covers the language and code generation model”.
“ChatGPT asked clarification questions when user instructions were unclear and wrote complex code structures for the drone, such as a zig-zag pattern, to inspect shelves,” the researchers said.
Microsoft tested ChatGPT using a robotic arm to move blocks around to create the Microsoft logo, wrote an algorithm for the drone to reach a point without hitting obstacles, and whether ChatGPT could It can decide where exactly the robot should go based on sensor feedback. -Time.
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(This story has not been edited by News18 staff and is published from a syndicated news agency feed)