AI development for misty robot system
The efficiency of front desk operations has been shown to improve with the adoption of AI-enhanced service robots. However, the adoption of these robots for front desk operations in the events industry has been limited, possibly due to cost constraints or concerns about user acceptance and integrati...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/181454 |
| _version_ | 1826120952467947520 |
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| author | Chandran, Karishein |
| author2 | Vun Chan Hua, Nicholas |
| author_facet | Vun Chan Hua, Nicholas Chandran, Karishein |
| author_sort | Chandran, Karishein |
| collection | NTU |
| description | The efficiency of front desk operations has been shown to improve with the adoption of AI-enhanced service robots. However, the adoption of these robots for front desk operations in the events industry has been limited, possibly due to cost constraints or concerns about user acceptance and integration challenges.
This report documents the deployment of the Misty Robot for guest registration and question-answering purposes at events. This project employs Misty’s built-in capabilities, such as object recognition, QR code scanning, text-to-speech, speech capture, and expressive facial emotions, to create an interactive registration experience. The project involves four main components: the Misty Robot at the front desk, a Next.js Web application for interfacing with Misty and keeping track of guests’ registration status, a MongoDB server for backend storage, and a FastAPI server with a Retrieval-Augmented Generation (RAG) process to generate relevant responses to guest queries using a Large Language Model (LLM).
This project aims to develop a framework for the Misty Robot to enhance guest registration efficiency, improve guest satisfaction, and create a more engaging experience at events and exhibitions. Additionally, it aims to utilise the Misty Robot to actively engage guests by providing accurate and relevant responses to their event-related queries through a RAG-based LLM, thereby significantly enhancing their overall event experience and satisfaction. |
| first_indexed | 2025-03-09T12:50:51Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/181454 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-03-09T12:50:51Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1814542024-12-03T02:20:33Z AI development for misty robot system Chandran, Karishein Vun Chan Hua, Nicholas College of Computing and Data Science ASCHVUN@ntu.edu.sg Computer and Information Science Misty Artificial intelligence Robot The efficiency of front desk operations has been shown to improve with the adoption of AI-enhanced service robots. However, the adoption of these robots for front desk operations in the events industry has been limited, possibly due to cost constraints or concerns about user acceptance and integration challenges. This report documents the deployment of the Misty Robot for guest registration and question-answering purposes at events. This project employs Misty’s built-in capabilities, such as object recognition, QR code scanning, text-to-speech, speech capture, and expressive facial emotions, to create an interactive registration experience. The project involves four main components: the Misty Robot at the front desk, a Next.js Web application for interfacing with Misty and keeping track of guests’ registration status, a MongoDB server for backend storage, and a FastAPI server with a Retrieval-Augmented Generation (RAG) process to generate relevant responses to guest queries using a Large Language Model (LLM). This project aims to develop a framework for the Misty Robot to enhance guest registration efficiency, improve guest satisfaction, and create a more engaging experience at events and exhibitions. Additionally, it aims to utilise the Misty Robot to actively engage guests by providing accurate and relevant responses to their event-related queries through a RAG-based LLM, thereby significantly enhancing their overall event experience and satisfaction. Bachelor's degree 2024-12-03T02:20:33Z 2024-12-03T02:20:33Z 2024 Final Year Project (FYP) Chandran, K. (2024). AI development for misty robot system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/181454 https://hdl.handle.net/10356/181454 en SCSE23-0859 application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Misty Artificial intelligence Robot Chandran, Karishein AI development for misty robot system |
| title | AI development for misty robot system |
| title_full | AI development for misty robot system |
| title_fullStr | AI development for misty robot system |
| title_full_unstemmed | AI development for misty robot system |
| title_short | AI development for misty robot system |
| title_sort | ai development for misty robot system |
| topic | Computer and Information Science Misty Artificial intelligence Robot |
| url | https://hdl.handle.net/10356/181454 |
| work_keys_str_mv | AT chandrankarishein aidevelopmentformistyrobotsystem |