Sensorless External Force Detection Method for Humanoid Robot Arm based on BP Neural Network

Author(s):  
Guoyu Zuo ◽  
Yongkang Qiu ◽  
Yuelei Liu ◽  
Xiangsheng Huang
2019 ◽  
Vol 16 (05) ◽  
pp. 1950024
Author(s):  
Guoyu Zuo ◽  
Yongkang Qiu ◽  
Yuelei Liu

This paper proposes an external force detection method for humanoid robot arm without using joint torque sensors, which can detect the external force of the joint space in real time during the operation of the robot. We first analyzed the structure of the humanoid robot arm we designed, and then established the external force detection model of the robot arm based on robot dynamics and motor dynamics. Subsequently, analyses were conducted on the error of the detection model and the dynamic model error of the robot arm is compensated by using the artificial neural network method to obtain more accurate external force value for the robot arm. In experiment, the accuracy test and the collision test were performed on the detected extern forces of the robot arm. The results show that the method can effectively improve the detection accuracy of the robot arm, and the robot arm can realize the real-time collision detection during its static and running states, which can ensure the safe operation of the robot.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 43920-43935 ◽  
Author(s):  
Xin Liu ◽  
Yanju Zhou ◽  
Zongrun Wang ◽  
Xiaohong Chen

2012 ◽  
Vol 39 (4) ◽  
pp. 0402007 ◽  
Author(s):  
马立 Ma Li ◽  
徐次雄 Xu Cixiong ◽  
欧阳航空 Ouyang Hangkong ◽  
荣伟彬 Rong Weibin ◽  
孙立宁 Sun Lining

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