Learning of Virtual Impedance Parameters in Non-contact Impedance Control using Neural Networks.
نویسندگان
چکیده
منابع مشابه
Simultaneous Learning of Robot Impedance Parameters Using Neural Networks
Impedance control is one of the most effective control methods for interaction between a robotic manipulator and its environment. Robot impedance control regulates the response of the manipulator to contact and virtual impedance control regulates the manipulator’s response before contact. Although these impedance parameters may be regulated using neural networks, conventional methods do not con...
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ژورنال
عنوان ژورنال: Journal of the Robotics Society of Japan
سال: 2000
ISSN: 0289-1824,1884-7145
DOI: 10.7210/jrsj.18.561