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Efficient Human-Like Walking for the COmpliant huMANoid COMAN based on Kinematic Motion Primitives (kMPs)

机译:基于运动基元(KMPS)的符合人类型梳理的高效人身行走

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Research in humanoid robotics in recent years has led to significant advances in terms of the ability to walk and even run. Yet, despite the general achievements in locomotion and control, energy efficiency is still one important area that requires further attention, especially as it is one of the major steeping stones leading to increased autonomy. This paper examines, and quantifies, the energetic benefits of introducing passive compliance into bipedal locomotion using COMAN, an intrinsically COmpliant huMANoid robot. The novelty of the method proposed consists of: i) the use of a method of gait synthesis based on kinematic Motion Primitives (kMPs) extracted from human, ii) the frequency tuning of the resultant trajectories, to excite the physical elasticity of the system, and the subsequent analysis of the energetic performance of the robot. The motivation is to assess the possible effects of using dynamic human-like, and human derived, trajectories, with significant Center of Mass (CoM) vertical displacement, regulated in frequency around the frequency band of the system resonances, on the excitation of the compliant actuators, and subsequently to measure and verify any energetic benefit. Experimental results show that if the gait frequency is close to one of the main resonant frequencies of the robot, then the total work contribution of the elastic compliant element to the overall motion of the robot is positive (15% of the work required is generated by the springs).
机译:近年来人形机器人的研究导致了行走甚至运行的能力方面的重大进步。然而,尽管机动和控制的一般成就,能源效率仍然是一个重要的领域,需要进一步关注,特别是因为它是导致自治权增加的主要陡峭石头之一。本文审查,并量化了使用梳子将被动遵守的能量效应引入双模型,这是一个本质上符合的人形机器人。所提出的方法的新颖性包括:i)使用一种基于人类,ii)提取的运动基元(kmps)的步态合成方法,即射箭的频率调整,激发系统的物理弹性,以及随后分析了机器人的能量性能。该动机是评估使用动态人类样的可能的效果,以及人类衍生的轨迹,在系统共振频率频带周围的频率频率上受到频繁的频率(COM)垂直位移的显着中心。执行器,随后测量并验证任何能量的利益。实验结果表明,如果步态频率接近机器人的主要谐振频率之一,那么弹性柔顺元件的总工作贡献对于机器人的整体运动是阳性的(15%所需的工作是由泉水)。

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