Dynamic balance of a biped robot using fuzzy reinforcement learning agents
Fuzzy Sets and Systems - Special issue: Fuzzy set techniques for intelligent robotic systems
Robot arm control exploiting natural dynamics
Robot arm control exploiting natural dynamics
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This paper presents a structure of a neural oscillator which is used as Central Pattern Generator for a biped robot locomotion. This architecture is suitable to generate different rhythmic motions, according to the amplitude and frequency of the system. The presented approach uses two reflexes to attain the stability in the sagittal and coronal planes. Results of the system on a simulated biped robot and a real robot show the feasibility of this approach.