Digital Twins for Self-Driving Cars, Drones, Rovers, or Elevators
Digital twins for software systems are getting significant attention in the industry. For instance, Gartner forecasts that by 2021 more than half of the world's large industries will use digital twins to bring significant improvements in their productivity [1]. Several sectors in Norway building autonomous systems have seen the potential benefits of digital twins in their practice. This topic focuses on developing digital twins for various software systems to support advanced analyses. In particular, you have the choice to select one of the following systems that you would like to work with.
Topic 1: Digital Twins for Self-Driving Cars
In this project, you will focus on building digital twins for self-driving cars based on open-source simulators such as Carla, LGSVL, etc. This topic will collaborate with the National Institute of Informatics, Tokyo, Japan.
Topic 2: Digital Twins for Drone
In this project, you will focus on building digital twins for drones based on open-source simulators such as AirSim, ArduPilot, etc
Topic 3: Digital Twins for Mars Rovers
In this project, you will focus on building digital twins for Mars Rovers. You will have access to real rovers at Simula.
Topic 4: Digital Twins for Elevators
In this project, you will build a digital twin for elevators. The case study will be provided by Orona, Spain, who makes commercial elevators.
[1] Prepare for the Impact of Digital Twins
Goal
The goal is to develop methods and tools to build digital twins for software systems in different industrial domains.
Learning outcome
You will gain knowledge about the cutting-edge technology of digital twins and applied artificial intelligence techniques.
Qualifications
Some programming skills.
Supervisors
- Shaukat Ali
- Tao Yue
- Einar Broch Johnsen, Department of Informatics, University of Oslo, Norway
Collaboration partners
National Institute of Informatics, Tokyo, Japan
