Description
While the growing prevalence of robots in industry and daily life necessitatesknowing how to operate them safely and effectively, the steep learning curve of
programming languages and formal AI education is a barrier for most beginner users.
This thesis presents an interactive platform which leverages a block based programming
interface with natural language instructions to teach robotics programming to novice
users. An integrated robot simulator allows users to view the execution of their
high-level plan, with the hierarchical low level planning abstracted away from them.
Users are provided human-understandable explanations of their planning failures and
hints using LLMs to enhance the learning process. The results obtained from a user
study conducted with students having minimal programming experience show that
JEDAI-Ed is successful in teaching robotic planning to users, as well as increasing
their curiosity about AI in general.
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Details
Title
- JEDAI.Ed: An Interactive Explainable AI Platform for Outreach with Robotics Programming
Contributors
- Dobhal, Daksh (Author)
- Srivastava, Siddharth (Thesis advisor)
- Gopalan, Nakul (Committee member)
- Seifi, Hasti (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2024
Subjects
Resource Type
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Note
- Partial requirement for: M.S., Arizona State University, 2024
- Field of study: Computing Studies