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1. Computer Specifications for RapidPlan Control
1.1 RapidPlan Control Standard
RapidPlan Control, a runtime software tool, streams motions to robot controllers in a robotic cell. Due to the real-time nature of the communication, selecting suitable hardware is crucial for robust and reliable system performance. We advise our customers to use hardware validated by Realtime Robotics.
Validated IPCs
Manufacturer | Article number | Notes | Datasheet | ||||
|---|---|---|---|---|---|---|---|
Axiomtek | eBOX671A-RTR01-I9 | Can be purchased directly from RTR, ask your RTR sales representative |
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Other Recommended IPCs
Manufacturer | Article number | Notes | Datasheet |
|---|---|---|---|
Siemens | SIMATIC IPC547J Example of IPC (with Nvidia GPU and 128GB RAM, which are above recommended specs): 6AG4104-5KJ31-5KB8 | This IPC has been tested and deployed in runtime applications, but it is not part of RTR's continuous validation process. | https://support.industry.siemens.com/cs/pd/1494696?pdti=td&dl=en&lc=en-ES |
Use of IPCs Not Validated by Realtime Robotics
While we advocate using IPCs validated by us, we recognize customers may prefer specific hardware components. Realtime Robotics can assist customers in validating their chosen IPCs. Here are the guidelines for selecting an IPC for runtime operation:
Specifications
Component | Recommended | Minimum |
|---|---|---|
CPU | 11th Gen Intel Core i9-11950H | Intel/AMD with 8 cores / 16 logical processors |
GPU | CPU graphics | CPU graphics |
RAM | 64GB | 32GB (depending on the project size and number of robots) |
Storage | 1TB | - |
Network Adaptor
Robust and reliable network communication is crucial during runtime. We recommend that customers use IPCs with the same network adapter as our recommended models. For alternative choices, please consult Realtime Robotics.
Component | Recommended |
|---|---|
Network adapter | Intel W480E (Intel I210 NIC) |
1.2 RapidPlan Control Dynamic
The add-on RapidPlan Dynamic allows the system to avoid dynamic obstacles. The system takes a point cloud of the environment captured using 3D cameras as an input, and adds these elements to the scene on the fly. Motions that would collide with dynamic obstacles are immediately stopped and force the system to replan.
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