# Point Cloud Data Simulation and Modelling with Aize Workspace

arXiv: https://arxiv.org/abs/2301.07947 · HTML: https://mlsanity.com/paper/2301.07947/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 26 references that are in the map.
- First posted on arXiv 19 Jan 2023.

## Builds on (most cited first, 2 of 2)

- [robosuite: A Modular Simulation Framework and Benchmark for Robot Learning](https://mlsanity.com/paper/2009.12293/) (2020)
- [Machine learning based digital twin for dynamical systems with multiple time-scales](https://mlsanity.com/paper/2005.05862/) (2020)

## Abstract (arXiv)

This work takes a look at data models often used in digital twins and presents preliminary results specifically from surface reconstruction and semantic segmentation models trained using simulated data. This work is expected to serve as a ground work for future endeavours in data contextualisation inside a digital twin.