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An adaptively reconfigurable computing framework for intelligent Robotics

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4 Author(s)
Moazzam Hussain ; Dipartmento di Autom. e Inf. (DAUIN), Politec. di Torino, Torino, Italy ; Ahmad Din ; Massimo Violante ; Basilio Bona

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.

Published in:

Advanced Intelligent Mechatronics (AIM), 2011 IEEE/ASME International Conference on

Date of Conference:

3-7 July 2011