Task-space region-reaching control for medical robot manipulator. (April 2018)

• Record Type: Journal Article
• Authors: Bouteraa, Yassine; Abdallah, Ismail Ben; Ghommam, Jawhar
• Is Part Of: Computers & electrical engineering. Volume 67(2018)
• Page Start: 629
• Page End: 645
• Publication Date: 2018-04
• Subjects: Gesture control -- Potential energy -- Workspace limits -- Sensorless control -- Kinect camera -- Medical robot; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2017.02.004
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: Remote control of medical robot based on hand gesture recognition using a Kinect depth sensor. The concept used for the control of the arm robot relies on the employment of the potential energy of a specified geometric desired region. Restrictions are imposed on the robot to avoid motion outside a defined workspace. Graphical abstract: Abstract: This paper addresses the remote control of robot skeleton based on gesture recognition of a human operator's body. The control motion procedure is facilitated by the use of the Kinect motion capture sensor, which transmits appropriate signals to the robot's joints to adequately replicate the operator's movement. Since the movement of the human operator is allowed to occupy the whole Kinect's space field of view, the arm robot however might have limited range of operation and therefore is subjected to operate in constrained region of the task space. The concept used for the control of the arm robot relies on the employment of the potential energy of a specified geometric desired region. The controller also incorporates high filtered version of joint errors to regulate the system without joint velocity measurement. The approach is experimentally demonstrated on five degrees of freedom articulated robot arm.