An adaptively reconfigurable computing framework for intelligent Robotics

Abstract

We present an academically developed framework for real time computations in Micro UAVs and Ground Robotics. Dynamic Partial Reconfiguration is used as a hardware accelerator in a heterogeneous environment which enables computationally demanding applications to take effective advantage of adaptive hardware resources while maintaining a high flexibility of software. We demonstrate our hypothesis by prototyping a workable application of aerial image acquisitioning and processing using partially reconfigurable hardware. We present an in-depth evaluation of proposed architecture in terms of its benefits in area, power consumption and timings.