Cloud computing platform based on intelligent space for service robot

In order to develop a cloud computing platform which provides a compute cluster built with commodity hardware exposing some robotic algorithms and share data co-operatively across the robotic ecosystem. This paper proposes a computing platform that provides the scalability and parallelism advantages of cloud computing for service robots in actual environments. The platform is implemented such a system around the intelligent space. This platform integrates sensor dates and human knowledge. Knowledge and information is extracted, processed and restored in separate storage modules of the platform. The computing environments allow the robots in different locations to easily access the knowledge library remotely in the cloud layer. It helps robots to offload heavy computation by providing secured customizable computing environments in the cloud. By utilizing this platform, the robot is able to perceive the environment more comprehensive, study from each other's experience and provide better service to the people.