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Based On Force Sensing-Controlled Human-Machine Interaction System For Walking Assistant Robot

机译:基于力感控制的步行机器人辅助人机交互系统

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This paper provides a prototype of an intelligent robotic walking assistance system named Walkmate with force sensor interface and a motion control algorithm for it. Our human-machine interface with the force sensors embedded in handlebars offers a nature negative feedback loop of the motion control. In the algorithm we defined two motion control modes. In the Force-Velocity Mode, the velocity of the robot is set proportional to the force applied to the force sensor interface in the handlebars. The Force-Acceleration Mode is a stimulation of a passive type cart-like dynamics. Based on the input force signal, the system amplifies the signal and outputs the desired acceleration of each wheel to stimulate the dynamics of a real cart. By detecting the user's intentions though physical interaction, the force sensor interface offers a naturally and intuitively way to control the Walkmate. We did two experiments about the two different modes to show our motion control algorithm can simulate a cart-like dynamics and control the robot to perform some typical walking assistance tasks.
机译:本文提供了一个名为Walkmate的智能机器人步行辅助系统的原型,该系统具有力传感器接口及其运动控制算法。我们的人机界面带有嵌入在车把中的力传感器,可提供运动控制的自然负反馈回路。在算法中,我们定义了两种运动控制模式。在力速模式下,将机器人的速度设置为与施加到车把上力传感器接口的力成比例。力-加速模式是对被动式手推车式动力学的刺激。根据输入的力信号,系统会放大该信号并输出​​每个车轮的期望加速度,以刺激真实手推车的动力。通过物理交互检测用户的意图,力传感器界面提供了一种自然而直观的方式来控制Walkmate。我们针对这两种不同的模式进行了两次实验,以表明我们的运动控制算法可以模拟类似手推车的动力学,并控制机器人执行一些典型的步行辅助任务。

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