Reproducibility via explicitly setting random seed?

[LemonPi]

Discussed in #4612

^{Originally posted by LemonPi May 8, 2024}
I'd like to be able to reproduce robot-object interaction trajectories, however the objects behave different (bounce to a different position) even when I use the same random seed. Is there a way to ensure reproducible simulations?

I'm setting the seed for python, numpy, and pytorch:

    random.seed(randseed)
    np.random.seed(randseed)
    torch.manual_seed(randseed)
    if torch.cuda.is_available():
        torch.cuda.manual_seed_all(randseed)

Does pybullet use a C++ RNG that we can set the seed for?