Before starting robotics development, engineers should benchmark their workstation by testing key hardware components—processor, graphics card, memory, and storage—on their target operating system to establish a performance baseline.
This step reveals hardware bottlenecks early and makes it easier to distinguish between software-induced slowdowns and physical limitations when running computationally demanding robotics simulations.
What happened
An overview of how to benchmark a development workstation before running robotics simulations, covering processor, graphics card, memory, and storage testing across platforms like macOS, Windows, and Linux.
Why it matters
Identifying hardware limitations early through benchmarking establishes a reliable performance baseline, making it easier to spot whether slowdowns during robot development come from software changes or hardware constraints—avoiding wasted engineering time on systems that cannot handle the computational load.
What to watch
Test with representative simulators (RoboDK, KUKA.Sim, Visual Components, DELMIA, ABB RobotStudio, Siemens Process Simulate) and monitor simulation speed, frame rate, CPU/GPU utilization, memory consumption, loading times, and temperatures across multiple runs with identical settings to get an accurate picture.
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Robotics simulations demand substantial computational resources—complex physics calculations, 3D rendering, and AI-powered perception place stress on workstations similar to the physical systems that will eventually be deployed. Before investing time in development, engineers need to understand whether their hardware can sustain the workload, because the weakest component in the system determines overall performance. A faster graphics card, for example, cannot eliminate slowdowns if the processor is already operating at full capacity or memory is exhausted.
Benchmarking establishes a baseline against which all future changes can be measured. By testing the workstation under load before work begins—using both synthetic benchmarking tools and real simulation software from platforms like RoboDK or ABB RobotStudio—engineers gain clarity on what the system can deliver. Once that baseline exists, any degradation after software updates or project expansion can be traced to its actual cause rather than assumed to be a hardware problem. The process applies equally across operating systems: macOS, Windows, and Linux systems all benefit from the same testing discipline.
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