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Terrain edge detection for biped walking robots using active sensing with vCoP-position hybrid control

机译:使用VCOP-POSION混合控制使用主动感测的双层行走机器人的地形边缘检测

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AbstractPerception of terrain is one of the most important technical impediments for biped robots to locomote in human environments. Perception error exists due to imperfect exteroceptive devices causing issues such as limited viewing angles or occlusion of visual sensors. This error can cause unexpected contact between the robot and the environment. The reaction wrenches from unexpected contact negatively affect the control and balance of the biped robot. In this study, active sensing method is proposed to estimate the edges of the contact terrain using robot link geometry information. By generating proper active motion that maintains the contact, the geometric information of the contact link is collected to estimate the edge of the contact terrain. To recognize contact and calculate its geometry, a multi-modal sensory strategy with 6 degrees of freedom (DOF) force/torque sensors at robot ankles and joint encoders is proposed. The concept of virtual Center-of-Pressure (vCoP) is utilized to generate active motion of the foot while maintaining the contact. To prevent loss of balance during active motion, the normal force condition of the vCoP is taken into account and the contact moment of the supporting foot is controlled. The operational space control scheme for a floating-base robot is adopted to apply compliant motion and vCoP-position hybrid control framework. The proposed method is verified by experiments using a 12-DOF biped robot to estimate the edge line of a block that has contact with the robot foot.HighlightsFor active sensing, rotational motion of the foot around the edge of the terrain is generated by using the concept of vCoP.Compliant motion and the vCoP are controlled by vCoP-position hybrid control strategy.Through the active sensing, the edge line of the terrain is estimated at the precision level of the methods using visuosensory.]]>
机译:<![cdata [ Abstract 对地形的看法是Biped机器人在人类环境中为当地的最重要的技术障碍之一。由于诸如视觉传感器的有限观察角度或遮挡等问题,因此存在感知错误。此错误可能会导致机器人与环境之间的意外接触。来自意外接触的反应扳手对弯曲机器人的控制和平衡产生负面影响。在该研究中,提出了主动感测方法来估计使用机器人链路几何信息来估计联系地形的边缘。通过产生维护触点的适当主动运动,收集联系链路的几何信息以估计联系地形的边缘。为了识别接触并计算其几何形状,提出了一种具有6度自由度(DOF)力/扭矩传感器的多模态感官策略,并且在机器人脚踝和联合编码器中提出。虚拟压力中心(VCOP)的概念用于在保持接触的同时产生脚的主动运动。为了防止在主动运动期间失去平衡损失,考虑了VCOP的正常力条件,并控制了支撑脚的接触力矩。采用浮动基础机器人的操作空间控制方案来应用兼容的运动和VCOP位置混合控制框架。通过使用12-DOF Biped机器人的实验来验证所提出的方法,以估计与机器人足部接触的块的边缘线。 突出显示 用于主动感测,通过使用VCOP的概念来生成地形边缘围绕地形的脚的旋转运动。 兼容的运动和vcop由VCOP位置混合控制策略控制。 通过主动感测,在使用visuosensory的方法的精度级别估计地形的边缘线。 ]]>

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