Thesis Work for generating photo realistic virtual training data for physical AI models
Core
Researching solutions to generate virtual training data for physical AI models by creating 3D digital twins and simulating robots.
Role type
Research thesis student (Robotics/AI)
Builds
Virtual training datasets for physical AI models
Domain
Robotics, Computer Vision, Machine Learning
Deliverable
research
Required skills
Machine learning, AI training, Linear algebra, 3D rendering, CAD, 3D modelling
Preferred skills
AI vision systems, Imitation learning, ABB industrial robots experience
Responsibilities
Research solutions for simulating robots to capture video footage en masse; Create 3D digital twins of robot-setups using Gaussian Splatting/Triangle Splatting; Evaluate performance of robots using physical AI methods trained on virtually generated video; Explore simulation fidelity levels to balance speed, complexity, and performance.
