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Subdegree ypec-2024

SD12 – Language Navigation Intelligence for Robot

In recent years, products and software related to generative artificial intelligence have seen rapid development. Examples include ChatGPT and Midjourney. These large language models offer people significant convenience and access to a wealth of rich content, with very low threshold requirements. Furthermore, we found that large language models can act as a bridge between robots and humans that allow humans to command robots by language, and robots able to understand our verbal command correspondingly. This finding brings innovative ideas to robot remoting aspects. This project seeks an innovative approach to robotic remoting. We found that there are a series of issues with typical robotic controlling approaches like the long learning path to the robot controller, and the limited dexterity and precision of the human. Therefore, We tried to develop a robot-understandable translator to execute our command. To achieve this, We developed Integrate Advanced Natural Language Platform to translate our verbal language into robotic commands. Also, we developed a Seamless Voice-to-Text Conversion and communication platform to allow the controller to control the robot by month or texting respectively. We believe that this innovative approach can reduce the learning cost of robotic remoting and also be the most effective and the simplest way to control different types of robots.

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