The gyroscopic (bias) derivatives applied to standalone free bodies by the
implicitfast integrator provide comparable stability for spinning bodies,
with none of midpoint's restrictions: they apply under contacts, fluid
forces and constraints, and preserve the linear force-velocity relation
required by discrete-time inverse dynamics. The invdiscrete flag reverts to
its original single meaning and no longer affects forward dynamics.
Restore implicitfast coverage in the DiscreteInverseMatch test, removed
when midpoint made discrete inverse dynamics untestable.
Add implicit gyroscopic (bias) derivatives for free bodies in implicitfast.
The implicitfast integrator drops the RNE (bias) derivative to stay on the
symmetric Cholesky path, so fast-spinning free bodies integrate gyroscopic
forces explicitly and can gain energy. Symmetrizing the gyroscopic Jacobian
is not an option: its stabilizing content is the antisymmetric part, and
adding only the symmetric part is destabilizing.
Instead, exploit the fact that for a standalone free body the 6x6 block of
M - h*D is decoupled from the rest of the system (qDeriv sparsity is
tree-local): after the global solve, rebuild the block with the exact bias
derivative in closed form (mjd_freeBias_vel) and re-solve it with dense
unsymmetric LU, overwriting the block's rows of qacc. For lone spinning
bodies this makes implicitfast match implicit to rounding, at ~150ns per
eligible body: cheaper than the midpoint machinery it will replace.
Eligibility is structural only; contacts, fluid and constraints need no
gating. The same block is mirrored in discrete inverse dynamics
(mj_discreteAcc), making invdiscrete exact for spinning free bodies.
PiperOrigin-RevId: 948472495
Change-Id: I813ef3d98c7b399881bc8603b9f9208cfb02eb58
An actuator now owns a block of consecutive controls
(actuator_ctrladr/ctrlnum, width defined by the actuator type) and a block
of consecutive force outputs (actuator_outadr/outnum, width defined by the
transmission type). Force outputs are the scalars of actuation space: one
force, length, velocity and moment row each. nout = dim(actuator_force) is
derived from transmission types; all current types have width 1, so all
three counts coincide for every existing model and behavior is bit-exact.
Array re-keying: ctrlrange/ctrllimited by nu; forcerange/forcelimited/gear/
acc0/length0/lengthrange and the moment row structure by nout; everything
else per actuator. The mjModel actuator block is re-sorted by size key.
Layout-breaking, not behavior-breaking: saved .mjb files are invalidated
(size list changed) and recompilation is required.
PiperOrigin-RevId: 948351772
Change-Id: Icbc196ffa083cb1eaa6f1a3710869c89d8f62540
The primal cost has curvature of at least M in every zone, making it strongly
convex in the M-norm and bounding the suboptimality of any point by the
Fenchel duality gap at its constraint forces:
cost(qacc) - cost* <= 0.5*grad'*M^-1*grad
Since M's factorization always exists, this certificate is evaluable before
the solver does any work: one triangular solve and one dot product. When the
warmstarted solution is already certified to satisfy the tolerance, CG and
Newton now return with zero iterations; for Newton this skips building and
factorizing the Hessian. If the certificate declines, Newton gets a second
exit after factorization: the Newton decrement, checked before the first
line search.
Because the gap bounds cost suboptimality, stiff constraints can convert it
into force errors of order sqrt(2*gap*stiffness). Newton solutions are
characteristically force-accurate, so Newton zero-iteration exits also
require the gradient criterion, preserving constraint-force accuracy at
rest; CG solutions are characteristically cost-accurate and exit on the gap
alone.
On a settling pile of 50 boxes (300 dofs, ~200 contacts), end-to-end time
per step drops 13% over a settle-then-rest run and 27% in the quiescent
limit, with Newton iterations falling from 0.98 to 0.40 per step.
Tests: WarmstartZeroIterations sweeps solver/cone/jacobian on a settled box,
asserting zero iterations, forward/inverse consistency, and agreement with a
tolerance=0 control solve from the same state. WarmstartZeroIterationsIslands
checks per-island exits with a kicked box next to a settled one.
RefsiteConservesMomentum now requests an exact solve (tolerance=0), since it
asserts momentum conservation tighter than the solver tolerance contract.
PiperOrigin-RevId: 947993735
Change-Id: I2fd855774bff619709b2c386f1ba2714286e0821
After an accepted line-search step, the solver has already rebuilt the gradient
and Hessian and solved for the next search direction, so the Newton decrement
0.5*g'*H^-1*g -- the quadratic model's predicted cost improvement of the next
iteration -- costs one dot product. Terminating when it falls below tolerance
avoids running one more iteration only to observe a correspondingly small
actual improvement.
This is a C port of Alain's proposal in MJWarp:
https://github.com/google-deepmind/mujoco_warp/pull/1520
PiperOrigin-RevId: 947768034
Change-Id: I94e5c71a4e2b4a7775611edd1dad254bba2633b4
mju_factorLU6/mju_solveLU6: same algorithm as mju_factorLU/mju_solveLU
with compile-time size, allowing full unrolling. At n=6, factor+solve is
25% faster than the runtime-sized version (93 vs 124 ns), and fixed-size
LU factorization is faster than generic dense Cholesky (55 vs 61 ns):
at this size, runtime-n loop overhead outweighs Cholesky's 2x flop
advantage. See new lu_benchmark_test. Results agree with the generic
version to rounding, not bitwise: the compiler may fuse (FMA) the
unrolled version differently.
Also add two DenseLU tests: a pivoting-required matrix with zero
diagonal, and fixed-vs-generic agreement.
PiperOrigin-RevId: 947705056
Change-Id: I24c54c9510964aa376886e9dd721890eda9889d3
The mid-phase BVH descent filter prunes body pairs using body_margin,
which was compiled as the max over geom margins, excluding gap. Broadphase
and the leaf-level test both use margin+gap, so any multi-geom body relying
on gap could silently lose its in-gap contacts when raw AABBs don't
overlap. Single-geom bodies take the leaf-leaf path and were unaffected.
PiperOrigin-RevId: 946967548
Change-Id: I6d92baa296f1a83be68b4dbfd64a96d1c7efd3c4
Reformulate the cost difference calculation (`ellipticCostDif`) to use mathematically equivalent formulas that avoid subtracting large, nearly equal values (cancellation errors) in single precision at high normal forces.
This is a C port of Alain's formulation in MJWarp:
https://github.com/google-deepmind/mujoco_warp/pull/1512
Also adds an integration test (`EllipticLineSearchPrecisionDiagnostics`) that reproduces the precision issue under large normal forces in the sliding regime, and asserts that the solver does not produce large negative improvements in either precision. This test failed before the change.
PiperOrigin-RevId: 946137815
Change-Id: Ia8fc1c4823b5fee770140c8989b9465737d22ad7
The code for the timeline scrubber widget has been moved from `App::ModelOptionsGui` into a new method `App::TimelineScrubberGui`. This new method is now called in both `App::ModelOptionsGui` and `App::ToolBarGui`, replacing the thread count slider in the toolbar.
PiperOrigin-RevId: 945565640
Change-Id: I6d5cab0b2397e8b32a2b335e8a709bb9e19bdb48
Extend mjpResourceProvider with an optional write callback (write)
so that mj_encode, mj_saveXML, and mj_saveModel can write to any
registered provider.
PiperOrigin-RevId: 945202741
Change-Id: I37903425260932e555f4a8c2392c4ff8c2e6cc06
Introduces a new timeline widget in the Studio UI, replacing the previous integer slider for simulation history. The new widget displays the current and maximum simulation times, formatted with appropriate units (µs, ms, s), alongside the actual step number, and allows scrubbing through the history via a custom-drawn spine and knob.
This change also modifies the history recording logic to record every solver step rather than only every rendered frame. This enables the step forward/backward buttons to navigate exactly 1 solver step at a time.
This change also fixes `SimHistory::SetIndex()` range checks in `sim_history.cc` to clamp `offset_` against `1 - size_` (`Size()`) rather than total vector capacity (`history_.size()`).
PiperOrigin-RevId: 944671699
Change-Id: Iaa34668a1e257e5c0c1840c827370d81c4935b3d
The flexcomp compiler previously rejected pins on dim-2 flexes with
bending (elastic2d bend/both). Allow them: mj_flexPassiveBend treats a
pinned vertex (body without 3 free slide dofs) as static -- zero
velocity, and no bending force applied to it (the reaction is carried
by the pin) -- while its position still enters every neighbor's
bending force, which is exactly what the pin constrains.
PiperOrigin-RevId: 944410969
Change-Id: Ib0a69c8d5fb6f64d3e2a76af3b6b2c7be1898191
Yuval Tassa