With advancements in low-energy-consumption multi/many core embedded-computing devices, a logical transition for robotic systems is Supercomputing, formally known as high performance computing (HPC), a tool currently used for solving the most complex problems for humankind such as the origin of the universe, the finding of deceases’ cures, etc. As such, HPC has always been focused on scientific inquires. However, its scope can be widening up to include missions carried out with robots. Since a robot could be embedded with computing devices, a set of robots could be set as a cluster of computers, the most reliable HPC infrastructure. The advantages of setting up such an infrastructure are many, from speeding up on-board computation up to providing a multi-robot system with robustness, scalability, user transparency, etc., all key features in supercomputing. This chapter presents a middleware technology for the enabling of high performance computing in multi-robot systems, in particular for aerial robots. The technology can be used for the automatic deployment of cluster computing in multi-robot systems, the utilization of standard HPC technologies, and the development of HPC applications in multiple fields such as precision agriculture, military, civilian, search and rescue, etc. ; Peer Reviewed ; Postprint (published version)


    Access

    Download


    Export, share and cite



    Enabling High-Performance Onboard Computing with Virtualization for Unmanned Aerial Systems

    Wang, Baoqian / Xie, Junfei / Li, Songwei et al. | IEEE | 2018


    INDUSTRIAL AERIAL ROBOT SYSTEMS AND METHODS

    MELCHER THOMAS W | European Patent Office | 2024

    Free access


    Aerial operation robot

    MA LE / LI FENGXIAN / YAN YIMING et al. | European Patent Office | 2021

    Free access

    INDUSTRIAL AERIAL ROBOT SYSTEMS AND METHODS

    MELCHER THOMAS W | European Patent Office | 2024

    Free access