Commit Graph

3 Commits

Author SHA1 Message Date
Yuval Tassa ea956dfe34 Derivatives of ellipsoid fluid model.
PiperOrigin-RevId: 459751881
Change-Id: I52db87d82e20e10698b13065df2e983b9841bd7a
2022-07-08 07:19:48 -07:00
Yuval Tassa 228264c92b Add efficient finite-difference Jacobians of mj_step.
- Add `qH` and `qHDiagInv` to `mjData` to save factorized modified inertia.
- Add `mj_EulerSkip`, `mj_implicitSkip`, to `engine_forward.c`.
- Using the above functions, implement `mj_stepSkip` in `engine_derivative.c`.
- Add `mjd_stepFD` and `mjd_transitionFD` to `engine_derivative.c` to compute `mj_step` Jacobians.
  - Exploit "Skip" functionality for speed.
  - Correctly handle quaternion derivatives.
  - Handle warmstarts and control limits.

PiperOrigin-RevId: 456584811
Change-Id: Iee8541f11e7b66feb8f431cb102d9bbe65461f79
2022-06-22 12:48:48 -07:00
DeepMind 64bc6d27b2 Add implicit integrator.
Added analytic derivatives of smooth (unconstrained) dynamics forces, with respect to velocities:
  - Centripetal and Coriolis forces computed by the Recursive Newton-Euler algorithm.
  - Damping and fluid-drag passive forces.
  - Actuation forces.

A new implicit-in-velocity integrator is implemented using the analytic derivatives. This integrator lies between the Euler and Runge Kutta integrators in terms of both stability and computational cost.

PiperOrigin-RevId: 450377010
Change-Id: Ie192b441876c22e732fb749333926f296e0a09cc
2022-05-23 01:22:15 -07:00