A human-robot interface for mobile manipulator

被引:11
|
作者
Chen, Mingxuan [1 ]
Liu, Caibing [1 ]
Du, Guanglong [1 ]
机构
[1] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Human-robot interface; Mobile manipulator; Kalman filter; Particle filter; Scheme of gesture polysemy; MULTISENSORY PROCESS; KALMAN FILTERS; ALGORITHM; SENSORS;
D O I
10.1007/s11370-018-0251-3
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
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.
引用
收藏
页码:269 / 278
页数:10
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