This work develops and demonstrates the integration of the SCAMP-5d vision system into the CoppeliaSim robot simulator, creating a semi-simulated environment. By configuring a camera in the simulator and setting up communication with the SCAMP python host through remote API, sensor images from the simulator can be transferred to the SCAMP vision sensor, where on-sensor image processing such as CNN inference can be performed. SCAMP output is then fed back into CoppeliaSim. This proposed platform integration enables rapid prototyping validations of SCAMP algorithms for robotic systems. We demonstrate a car localisation and tracking task using this proposed semi-simulated platform, with a CNN inference on SCAMP to command the motion of a robot. We made this platform available online.
@article{arxiv.2105.10479,
title = {Bringing A Robot Simulator to the SCAMP Vision System},
author = {Yanan Liu and Jianing Chen and Laurie Bose and Piotr Dudek and Walterio Mayol-Cuevas},
journal= {arXiv preprint arXiv:2105.10479},
year = {2021}
}