AutoRobotics in Construction
Goals
The proposed interdisciplinary team’s goal is to investigate how virtual reality can enhance the digital twin platform that will be used for human-wearable robot education in construction. Sub-goals are to: 1. Develop personalized models (using machine learning) for predicting students’ interactions with a virtual reality learning environment and integrate these models into a digital twin platform. 2. Develop virtual learning assistants for construction education 3. Conduct multiple user evaluations to assess the developed digital twin platform.
Issues Involved or Addressed
The issue that will be addressed is reducing cognitive stress, and learning difficulties, and enhancing learning experiences through a digital twin platform for personalized learning of construction robotics within a virtual reality environment.
Partners/Sponsors
NSF
Methods and Technologies
- Game development
- machine learning
- user evaluations
- virtual reality
- predictive model developments
- EEG
- technologies such as AI
- wearable sensors.
Majors Sought
Computing: Computer Science, Human-Computer Interaction
Design: Building Construction, Building Construction and Facility Management
Engineering: Machine Learning
Sciences: Psychology
Preferred Interests and Preparation
It is preferred that students from computer science/ engineering are prepared on how to implement machine learning and artificial intelligence and integrate them in real-time, while students from construction are well-equipped with construction processes, and robotics. Students from psychology should be prepared to evaluate the psychological risks of virtual learning environments.
Advisor
Omobolanle Ogunseiju
Omobolanle Ogunseiju
omobolanle@gatech.edu
Day, Time & Location
Full Team Meeting:
2:00-2:50 Friday
Hinman 138
Subteam meetings scheduled after classes begin.