Awesome

Tactile optical simulation

Requirements

• Python>=3.8

Setup

The project uses Mitsuba3 renderer(v3.3.0) for generating all the images.

• For installing python dependencies

pip3 install -r requirements.txt

Quick Start

• python3 generate_image.py
• To choose the configuration file see files inside file_list_cfgs
• To choose the render configurations see files inside render_cfgs

Expected Results

Real Sensor Image	Rendered Image

Usage

User can render a new object by providing its mesh in Wavefront .obj format and passing its name as a param to render function. new_mesh_render.py provides an example. Please refer to the script for more details.

• Execute python new_mesh_render.py to render a sensor view without any object pressed against it.

Output Visualization

• tev is a EXR viewer and comparison tool. You can download the latest executables from here
• qt4Image is another viewer for exr images across different platform. It can also generate low-dynamic range images with gamma encoding. You can download the utility for linux from this link.

Advanced

• The model files for GelSight are in Mitsuba xml format. The Mitsuba3 documentation has details on the parameters and how to set them.
• The important file which are used in rendering for flatgel is or models/flatgel_with_mesh.xml

Not supported

• Bidirectional Path tracing
• Heightfields

Citation

@article{agarwal2020simulation,
  title={Simulation of Vision-based Tactile Sensors using Physics based Rendering},
  author={Agarwal, Arpit and Man, Tim and Yuan, Wenzhen},
  journal={arXiv preprint arXiv:2012.13184},
  year={2020}
}