Design of AI-enabled Chatbot

He, QiHan; Payne, Quincy; Mettler, Colin; Nair, Hrishikesh; Perez, Federico; Morel Mendez, Guillermo; Salamea-Lopez, Rolando; Xiao, Xiao

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Design of AI-enabled Chatbot

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This project is about the design and implementation of a robotic autochat system which will enhance human-robot interaction through natural language understanding and response capabilities. The system integrates several audio and video sensors into a comprehensive framework, making use of cutting-edge AI-enabled chatbot systems, especially ChatGPT. The embedded system processes the audio and video signals, enabling the robot to understand human speech and engage in conversations. And the monitor displays the responses of the system, creating a seamless interaction experience. One of the key advantages of the system is that the integration of language models enables the robot to understand and respond effectively to human language, resulting in a more natural and engaging interaction. The project includes multiple domains, such as embedded system design, text-speech translation, speech-text translation, and human-robot interaction. This project provides an in-depth study of cutting-edge technology, and the robotic autochat system presented as a novel idea for improving communication between people and robots, which indicates that the robotic autochat system is an innovative solution for fostering the communication between humans and robots.

This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

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