首页> 外文会议>IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics >Do humans walk like robots when crossing an obstacle without visual information?
【24h】

Do humans walk like robots when crossing an obstacle without visual information?

机译:在没有视觉信息的情况下穿过障碍时,人类会像机器人走路吗?

获取原文

摘要

This work analyses the obstacle crossing during gait and compares the behavior of humans with a robot model. The aim of the study is to compare the obstacle crossing task between human subjects, performing the task both with vision and blindfolded, and ZMP biped robots. It was hypothesized that the trajectories of the hip joint and the foot of the blindfolded subjects would resemble those of the robot. Seven subjects walked on a flat surface with an obstacle of 0.26 m height and crossed the obstacle successfully 30 times under two conditions: blindfolded and with normal vision. The motion of the leading limb was recorded by video at 60 Hz. There were markers placed on the subject's hip, knee, ankle, rear foot, and forefoot. The following parameters were calculated: critical time, vertical foot position and average step velocity. A robot model with inertial parameters matched with the subjects and a controller based on the ZMP criterion was developed. The hip joint and foot trajectories of humans and robots were assessed and compared. Unavailability of visual information resulted in different strategies to cross the obstacle, like a higher toe clearance or lower step speed. Without vision, the crossing pattern seems to be more cautious and slower than with vision, thus resembling that of the robot with ZMP. The hip was kept behind until the foot has overtaken the obstacle as a possible mechanism to maintain a safe base of support if a trip occurs. This is also supported by the data showing that blindfolded behaved with an intermediate pattern between vision and robot in the hip antero-posterior trajectory. In this context, it is possible to extract some conclusions to improve the ZMP stability criterion of biped robots.
机译:这项工作分析了步态期间的障碍物,并比较了人类与机器人模型的行为。该研究的目的是比较人类受试者之间的障碍穿越任务,用视觉和蒙版进行任务,以及ZMP Biped机器人。假设髋关节和蒙帘受试者脚的轨迹类似于机器人的轨迹。七个受试者在平坦的表面上散步,障碍物高度,高度为0.26米,在两个条件下成功越过障碍物:蒙上眼睛和正常的视觉。通过60Hz的视频记录前导肢体的运动。在受试者的臀部,膝盖,脚踝,后脚和前足有标记。计算以下参数:临界时间,垂直脚位置和平均阶梯速度。开发了一种具有与受试者和基于ZMP标准的主体的惯性参数的机器人模型。评估并比较了人类和机器人的髋关节和脚轨迹。视觉信息的不可用导致跨越障碍物的不同策略,如更高的脚趾间隙或较低的阶梯速度。没有愿景,横穿模式似乎比视觉更谨慎且慢,因此与ZMP的机器人类似于机器人。臀部一直落后,直到脚翼越过障碍物,作为一种可能的机制,如果发生旅行,可以保持安全的支持基地。这也支持这些数据,显示蒙显表现在髋关节轨迹中的视觉和机器人之间的中间图案表现。在这种情况下,可以提取一些结论以改善Biped机器人的ZMP稳定标准。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号