Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors
Zixi Chen, Shixin Zhang, Shan Luo, Fuchun Sun, Bin Fang

TL;DR
Tacchi is a low-cost, pluggable elastomer deformation simulator for optical tactile sensors that produces realistic images and integrates easily with robotics simulators, improving simulation accuracy and efficiency.
Contribution
Introduces Tacchi, a computationally efficient elastomer deformation simulator using particles, enabling realistic tactile image generation and easy integration with robotics simulation platforms.
Findings
Produces tactile images with higher similarity to real images.
Achieves higher Sim2Real accuracy than existing methods.
Requires only 1G GPU memory, enabling physical robot simulation.
Abstract
Simulation is widely applied in robotics research to save time and resources. There have been several works to simulate optical tactile sensors that leverage either a smoothing method or Finite Element Method (FEM). However, elastomer deformation physics is not considered in the former method, whereas the latter requires a massive amount of computational resources like a computer cluster. In this work, we propose a pluggable and low computational cost simulator using the Taichi programming language for simulating optical tactile sensors, named as Tacchi . It reconstructs elastomer deformation using particles, which allows deformed elastomer surfaces to be rendered into tactile images and reveals contact information without suffering from high computational costs. Tacchi facilitates creating realistic tactile images in simulation, e.g., ones that capture wear-and-tear defects on object…
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Taxonomy
TopicsAdvanced Sensor and Energy Harvesting Materials · Modular Robots and Swarm Intelligence
