Humans utilize the extended-knee configuration to achieve efficient walk. A humanoid robot, however, cannot do so, since this posture is a singular one, and hence, an extremely large joint velocity would be generated, provided a conventional control method is used. Some other methods exist, though, that are able to handle motion control at such postures. One example is the Singularity Consistent (SC) Approach, which we used in a previous work to generate a static walk for a humanoid robot. In this paper, we propose a new method to generate a dynamic walking pattern through the singularity neighborhood, by using proper ankle control and pattern generation based on a spherical inverted pendulum model. Experimental results show the effectiveness of this approach.
Conventional humanoid robots cannot achieve human like walking patterns. The reason is that human walking patterns include singularity configurations, i.e. configurations with the extended knees. Such kinematic singularities cause spurious joint motions. In other words, a humanoid robot cannot handle the singularity problem. On the other hand, humans make use of singularity configurations, because at such configurations large forces in certain directions can be generated. Therefore, singularities play an important roll for creating efficient walking patterns. In our previous work, we proposed the Singularity Consistent (SC) Approach that can handle the singularity problem without instabilities [1] [2]. Until now, the approach has been applied to various manipulators. In this paper, we implement the SC approach into a walking pattern generator for a humanoid. Some issues and resolutions will be addressed. Experimental results show the effectiveness of our approach.
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