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首页> 外文期刊>International Journal of Control, Automation and Systems >Motion teaching method for complex robot links using motor current
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Motion teaching method for complex robot links using motor current

机译:利用电机电流进行复杂机器人链接的运动教学方法

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摘要

Conventional robot motion teaching methods use a teaching pendant or a motion capture device and are not the most convenient or intuitive ways to teach a robot sophisticated and fluid movements such as martial arts motions. Ideally, a robot could be set up as if it were a clothing mannequin that has light limbs and flexible yet frictional joints which can be positioned at desirable shape and hold all the positions. To do the same with a robot, an operator could pull or push the links with minor forces until the desired robot posture is attained. For this, a robot should measure the applied external force by using torque sensors at the robot joints. However, torque sensors are bulky and expensive to install in every DOF joints while keeping a compact design, which is essential to humanoid robots. In this paper, we use only motor current readings to acquire joint torques. The equations used to compensate for the effect of gravity on the joint torques and the self-calibration method to earn link parameters are presented. Additionally, kinematic restrictions can be imposed on the robot’s arms to simplify the motion teaching. Here, we teach the Kendo training robot with this method and the robot’s learnt martial art motions are demonstrated.
机译:常规的机器人动作示教方法使用示教器或动作捕捉装置,并不是教机器人进行复杂而流畅的动作(例如武术动作)的最方便或直观的方法。理想情况下,可以设置一个机器人,就好像它是一个服装模特,它具有轻巧的肢体和灵活但摩擦力强的关节,可以定位在所需的形状并保持所有位置。为了对机器人执行相同的操作,操作员可以用较小的力拉或推连杆,直到获得所需的机器人姿势为止。为此,机器人应通过在机器人关节处使用扭矩传感器来测量施加的外力。然而,扭矩传感器体积庞大且要安装在每个自由度关节中,同时又要保持紧凑的设计,这对于类人机器人至关重要。在本文中,我们仅使用电动机电流读数来获取关节扭矩。提出了用于补偿重力对关节扭矩的影响的方程式以及用于获得连杆参数的自校准方法。此外,可以在机器人手臂上施加运动学限制,以简化运动教学。在这里,我们教给剑道训练机器人这种方法,并演示该机器人学习到的武术动作。

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