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A human–robot interface for mobile manipulator

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Abstract

This paper presents a remote manipulation method for mobile manipulator through operator’s gesture. In particular, a track mobile robot is equipped with a 4-DOF robot arm to grasp objects. Operator uses one hand to control both the motion of mobile robot and the posture of robot arm via scheme of gesture polysemy method which is put forward in this paper. A sensor called leap motion (LM), which can obtain the position and posture data of hand, is employed in this system. Two filters were employed to estimate the position and posture of human hand so as to reduce the inherent noise of the sensor. Kalman filter was used to estimate the position, and particle filter was used to estimate the orientation. The advantage of the proposed method is that it is feasible to control a mobile manipulator through just one hand using a LM sensor. The effectiveness of the proposed human–robot interface was verified in laboratory with a series of experiments. And the results indicate that the proposed human–robot interface is able to track the movements of operator’s hand with high accuracy. It is found that the system can be employed by a non-professional operator for robot teleoperation.

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Acknowledgements

The project was funded by “Guangdong Natural Science Funds for Distinguished Young Scholar (2017A030306015),” “Pearl River S&T Nova Program of Guangzhou (201710010059),” “Guangdong special projects (2016TQ03X824),” “the Fundamental Research Funds for the Central Universities (No: 2017JQ009),” “National Natural Science Foundation of China (Nos: 61403145, 61602182).”

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Correspondence to Guanglong Du.

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Chen, M., Liu, C. & Du, G. A human–robot interface for mobile manipulator. Intel Serv Robotics 11, 269–278 (2018). https://doi.org/10.1007/s11370-018-0251-3

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