A sparse MPC solver for walking motion generation (old version).
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This package includes two small libraries. The main library is located in 'solver' subfolder, it implements a solver of quadratic optimization problems defined using sparse model predictive control formulation for walking motion generation. The second library ('WMG' subfolder) is necessary to perform walking simulation, it produces input for the solver on each simulation step.
Tests and demos are placed in 'test' subfolder.
(Recommended) Using cmake:
make cmake
make cmake TOOLCHAIN=< path to a toolchain >
make
make test
The newest sources are available on GitHub: https://github.com/asherikov/smpc_solver/tree/Version_1.x
The documentation generated by doxygen can be found here: http://asherikov.github.com/smpc_solver/v1/