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Microsoft Robotics Studio
Microsoft Robotics Studio
Microsoft Dynamics Great Plains

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Microsoft Dynamics Great Plains

Robotic Architecture

Distributed Robotic Processing Network

eVision Systems’ Distributed Robotic Processing Network (DRPN) reduces network traffic, decentralization, increased robustness and fault tolerance. This system architecture ensures maximum processing power in an inflexible environment.

Consider the possibility of a single robot experiencing hardware failure therefore rendering the mission incomplete. The DRPN system eliminates this by housing data in a centralized location. Once information that a hardware failure has occurred, has been received, another robot team member takes its place. Additionally, this process can also occur on the single robot itself. Because each robot has access to seven possible processing elements, if a processing element on the Robot is damaged then the additional six processing elements will continue the mission to completion. Therefore dividing or distributing the task to another location (s). This transfer of information and processing is possible through the use of the DRPN system where all robots are part of a Robots Near Me (RNM) network.

The result is absolute, responsive Robot (s) with high availability which are composed of DRPN’s parallel processing architecture enabling multi-asynchronous communication.


P2P Processing and Collaboration

eVision Systems Robotic software utilizes the Peer Name Resolution Protocol (PNRP) ROBOTS NEAR ME (RNM) and Peer Channels components which enable all Robots in the same proximity to process jobs as a team.  If one Robot in the team has a large job to process this job can be processed in parallel across the Robot team.

The illustration below further describes Peer Name Resolution Protocol (PNRP), ROBOTS NEAR ME (RNM) and Peer Channels.

 

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Peer to Peer functionality coupled with the individual robots cluster technology ensures volumes of processing power, unexpurgated. Peer to Peer processing allows Robots in the “Mesh” to collaborate and work as a team to accomplish their mission. The mission data becomes global data in the event that a Robot goes down during the mission. Therefore, any possible data loss due to Robot malfunction is prevented enabling mission completion. Robots share centralized data ensuring a “learned” team. Additionally, Robots store centralized data ensuring intelligent operations should the Radio Frequency become inoperative enabling mission completion.


Hardware Processing

Hardware platforms consist of high density computing power containing 20 Intel Quad-Core Zeon processors with 320 gigs of advanced DIMMS memory. Hardware storage can top 5 terabytes if required. Each Robot contains enough processing power to operate autonomously in unknown environments. The processing “foot print” is 7U and is the most compact hi-density hardware available.


Dynamic Robot Extended Network

All Robots are equipped with an RF antenna and repeater. The RF allows the communication with other Robots and with the main controller. The locations of the Robots will depend on whether the repeater is enabled. The Dynamic repeater allows higher wireless network throughput at greater distances allowing the Robots to extend the wireless range based on physical location of the Robot team.


 
 
   
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