Using redundant fitness functions to improve optimisers for humanoid robot walking

摘要

Walking is an essential skill for a humanoid robot. Optimisation can be applied to improve the speed, efficiency and stability of an existing walk engine. A local optimiser is often employed for this task to reduce stress on the robot, however, they are prone to getting trapped in local extrema.