Author Topic: Bullet 2.86 with pybullet for robotics, deep learning and VR  (Read 4498 times)

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The Bullet 2.86 has improved Python bindings, pybullet, for robotics, machine learning and VR, see the pybullet quickstart guide. Furthermore, the PGS LCP constraint solver has a new option to terminate as soon as the residual (error) is below a specified tolerance (instead of terminating after a fixed number of iterations). There are optional multithreaded optimizations, thanks to lunkhound. There is preliminary support to load some MuJoCo MJCF xml files (see data/mjcf),see Bullet VR haptic experiments with a VR glove