Towards an Integrated Software Development Environment for Robotic Applications in MPSoCs with Support for Energy Estimations

Abstract

Multi-processor Systems-on-Chip (MPSoCs) have been proposed to tackle embedded systems' requirements due to their potential for low-power consumption and high scalability. These systems fit the needs of many application domains, including robotics and autonomous vehicles, in which reliability, performance, and timeliness are critical to operation. In this paper, we propose an integrated environment for the development of robotic applications targeting MPSoCs. The proposed environment eases the evaluation of non-functional requirements by combining cycle-accurate simulations from RTL models with behavioral simulations from robotics. We present a case study of the proposed environment in the context of a UAV (unmanned aerial vehicle) stabilization software, providing performance and energy estimations for different software implementations.