基于视觉反力观测器的助力轮椅抗障交互控制

N. Oda, Shouhei Mabuchi, Naoki Aizawa
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引用次数: 1

摘要

提出了一种基于视觉信息的机器人轮椅交互助力控制方法。该方法设计了基于编码器的反作用力观测器和基于视觉的反作用力观测器,以获取视场中环境变化引起的虚拟力。基于视觉的观测器利用视觉场景的光流场可以估计出运动障碍物引起的包括惯性力在内的外力。将虚拟力定义为两个反作用力观测器输出的差值,在助力控制的同时辅助避障操作。实验结果验证了该方法的有效性。
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Interactive control against obstacle for power assisted wheelchair by vision-based reaction force observer
This paper describes a novel approach to interactive power assisting control cooperating with visual information for robotic wheelchair. In the proposed approach, both encoder-based and vision-based reaction force observer are designed for obtaining the virtual force due to the environmental change in the field of view. The vision-based observer using the optical flow field of visual scene can estimate the external force including the inertial force due to the moving obstacle. The virtual force is defined as the difference between both reaction force observer outputs, and it is useful for assisting the avoiding operation against obstacle while power assisting control. The validity of our approach is evaluated by several experimental results.
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