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Generation of human-like gait adapted to environment based on a kinematic model**

机译:根据运动学模型生成适应环境的类人步态**

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摘要

Human-like gait generation in 3D environment is one of major concerns for virtual characters and humanoid robot studies. Methods used to generate human-like gait include either combining the common components extracted from real human gait or mapping the particular points’ trajectories to the humanoid robots. However, the common components themselves do not represent the gait adopted by human, which is not comprehensible. Moreover, the complex stability problem of robots needs to be considered of mapping the particular points’ trajectories to the humanoid robots. This paper proposed a succinct and fast method to generate human-like gait by establishing a kinematic model with gait features (Forward distance, Lateral distance, Step height and Turning angle). First, a kinematic model of gait and gait features was established by Fourier Analysis and Principal Component Analysis. Then, for any given environment, the human-like gait was generated with the kinematic model. Finally, in order to remove the accumulated error of the generation gait, the gait features were adjusted at each step to get the final human-like gait. The result showed that the generated gait matched the environment well. The kinematic model proposed can be used for gait design and generation of virtual characters and humanoid robots.
机译:在3D环境中生成类人步态是虚拟角色和类人机器人研究的主要问题之一。用于产生类似人的步态的方法包括组合从真实人的步态中提取的公共成分,或将特定点的轨迹映射到类人机器人。然而,共同的组成部分本身并不代表人类所采取的步态,这是无法理解的。此外,在将特定点的轨迹映射到类人机器人时,还需要考虑机器人的复杂稳定性问题。通过建立具有步态特征(前进距离,横向距离,步高和转弯角)的运动学模型,本文提出了一种简洁而快速的方法来生成类人的步态。首先,通过傅立叶分析和主成分分析建立了步态和步态特征的运动学模型。然后,对于任何给定的环境,都使用运动学模型生成了类似人的步态。最后,为了消除世代步态的累积误差,在每个步骤中都要调整步态特征,以获得最终的类人步态。结果表明,所产生的步态与环境吻合良好。提出的运动学模型可用于步态设计以及虚拟角色和类人机器人的生成。

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