It’s implemented in Python, but it is using existing Python libraries which themselves are implemented in C, etc.

Notably it uses both Taichi and Numba, which compile code expressed in (distinct restricted subsets of) Python (much broader in Numba’s case) to native CPU/GPU code including parallelization.

Python is used here to wrap around some sort of kernel compiler (taichi). Not out of the realm of possibility that kernels which are compiled out of Python source code could be placed on device with some sort of minimal runtime (although taichi executes on CPU via LLVM, so maybe not so minimal)

There is enough space on large robots to add in beefier compute if needed (at the expense of power consumption). Python is run all the time on robots. Compute usually becomes more of a problem as the robot gets smaller, but it should still be possible to run the intensive parts of a program on the cloud and stream the results back.