# Forward dynamics

Forward dynamics (FD) refers to the computation of motions from forces. Given the configuration \(\bfq\), generalized velocity \(\qd\), joint torques \(\bftau\) and contact forces \(\bff\) acting on our robot, forward dynamics computes the joint accelerations \(\qdd\) such that the constrained equations of motion are satisfied:

Mathematically, we can write forward dynamics as a function \(\mathrm{FD}\) such that:

Note that this function implicitly depends on our robot model. Different robots
will have *e.g.* different inertias, thus different inertia matrices
\(\bfM(\bfq)\), thus different \(\mathrm{FD}\) functions in a given
configuration \(\bfq\).

## Articulated body algorithm

The articulated body algorithm (ABA) computes the *unconstrained* forward dynamics:

Its output \(\qdd\) satisfies the equation of motion \(\bfM(\bfq) \qdd + \ldots = \ldots + \bfJ^\top \bff\), but it doesn't take into account the contact constraint \(\bfJ(\bfq) \qdd + \qd^\top \bfH(\bfq) \qd = \boldsymbol{0}\).

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## Composite rigid body algorithm

The composite rigid body algorithm (CRBA) computes the joint inertia matrix \(\bfM(\bfq)\) from the joint configuration \(\bfq\).

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## To go further

Both ABA and CRBA come from Featherstone's Rigid body dynamics algorithms, a seminal book that has been implemented in rigid body dynamics libraries, such as Pinocchio or RBDL, as well as dynamic simulators, such as Bullet or Dart. ABA is the main algorithm in both Bullet and Dart.