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.