Fully-simulated Integration of Scamp5d Vision System and Robot Simulator
This work provides a simulation platform for robotics researchers to test on-sensor visual computing algorithms without physical hardware, but it is incremental as it integrates existing components.
The paper tackled the problem of integrating an on-sensor visual computing device (SCAMP) with a robot simulator (CoppeliaSim) to create a fully-simulated environment for mobile robot navigation, resulting in a platform that enables obstacle avoidance and target navigation with pre-set barriers using on-sensor image processing.
This paper proposed a fully-simulated environment by integrating an on-sensor visual computing device, SCAMP, and CoppeliaSim robot simulator via interface and remote API. Within this platform, a mobile robot obstacle avoidance and target navigation with pre-set barriers is exploited with on-sensor visual computing, where images are captured in a robot simulator and processed by an on-sensor processing server after being transferred. We made our developed platform and associated algorithms for mobile robot navigation available online.