An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem

biomechanics casadi control direct-collocation direct-multiple-shooting discrete-mechanics dmoc dmocc fatigue-dynamics forward-simulation moving-horizon-estimation musculoskeletal-model musculoskeletal-simulations optimal-control robotics stochastic-optimal-control
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AI Summary: The task requires adding assertions to existing bioptim tests to verify solver convergence (status code 0) and the expected number of iterations. This ensures that recent changes haven't negatively impacted the optimization performance of the examples.

Complexity: 3/5
good first issue

An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem

Python
#biomechanics#casadi#control#direct-collocation#direct-multiple-shooting#discrete-mechanics#dmoc#dmocc#fatigue-dynamics#forward-simulation#moving-horizon-estimation#musculoskeletal-model#musculoskeletal-simulations#optimal-control#robotics#stochastic-optimal-control