Abstract
This paper elaborates a generalized approach to the modeling of human and humanoid motion. Instead of the usual inductive approach that starts from the analysis of different situations of real motion (like bipedal gait and running; playing tennis, soccer, or volleyball; gymnastics on the floor or using some gymnastic apparatus) and tries to make a generalization, the deductive approach considered begins by formulating a completely general problem and deriving different real situations as special cases. The paper first explains the general methodology. The concept and the software realization are verified by comparing the results with the ones obtained by using "classical" software for one particular well-known problem: biped walk. The applicability and potentials of the proposed method are demonstrated by simulation using a selected example. The simulated motion includes a landing on one foot (after a jump), the impact, a dynamically balanced single-support phase, and overturning (falling down) when the balance is lost. It is shown that the same methodology and the same software can cover all these phases.
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