Hi RoboDK community,
I'm working on a project that analyses robot motion times across multiple robot configurations and orientations. Specifically, I'm computing both point-to-point motion times and path traversal times for various scenarios.
I've encountered a significant performance bottleneck: as I scale up the number of points or test different orientations, the simulation time increases substantially. To address this, I attempted to use RDK.Render(False) and RDK.setSimulationSpeed() in Python to disable rendering, but this solution doesn't seem to work.
I am using RoboDK with Python API
I'd appreciate guidance on the following:
I'm working on a project that analyses robot motion times across multiple robot configurations and orientations. Specifically, I'm computing both point-to-point motion times and path traversal times for various scenarios.
I've encountered a significant performance bottleneck: as I scale up the number of points or test different orientations, the simulation time increases substantially. To address this, I attempted to use RDK.Render(False) and RDK.setSimulationSpeed() in Python to disable rendering, but this solution doesn't seem to work.
I am using RoboDK with Python API
- Testing multiple robot configurations
- Analyzing various point orientations
- Calculating both P2P and path traversal times
I'd appreciate guidance on the following:
- Alternative methods to get point2point motion times
- Best practices for batch processing multiple configurations
- Whether other rendering/visualization settings could help