Tactile tele-operation of a mobile robot with a collision vector

In this paper, we have developed and implemented a system that combines autonomous obstacle avoidance with force-reflective tele-operation. In this system, a tele-operated mobile robot is controlled by a local two-degrees-of-freedom force-reflective joystick that a human operator holds while he is monitoring the screen. The force-reflective joystick transforms the relation between a mobile robot and the environment to the operator as a virtual force. A virtual force is generated in the form of a new collision vector and reflected to the operator, which makes the tele-operation of a mobile robot safe from collision in an uncertain and obstacle-cluttered remote environment. A mobile robot controlled by a local operator usually takes pictures of remote environments and sends the images back to the operator over the Internet. Because of limitations of communication bandwidth and the narrow view-angles of the camera, the operator cannot observe shadow regions and curved spaces. To overcome this problem, a new form of virtual force is generated along the collision vector according to both distance and approaching velocity between an obstacle and the mobile robot, which is obtained from ultrasonic sensors. This virtual force is transferred back to a master (two degrees of freedom joystick) over the Internet to enable a human operator to feel the geometrical relation between the mobile robot and the obstacle. It is demonstrated by experiments that this haptic reflection improves the performance of a tele-operated mobile robot significantly.

[1]  Blake Hannaford,et al.  Force-reflection and shared compliant control in operating telemanipulators with time delay , 1992, IEEE Trans. Robotics Autom..

[2]  Yoram Koren,et al.  Teleautonomous guidance for mobile robots , 1990, IEEE Trans. Syst. Man Cybern..

[3]  Imad H. Elhajj,et al.  Haptic information in Internet-based teleoperation , 2001 .

[4]  Yoram Koren,et al.  Obstacle avoidance with ultrasonic sensors , 1988, IEEE J. Robotics Autom..

[5]  Jang-Myung Lee,et al.  Localization of a Mobile Robot Using the Information of a Moving Object , 2001 .

[6]  O. Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[7]  Yilin Zhao,et al.  Kinematics, dynamics and control of wheeled mobile robots , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[8]  Jun Ota,et al.  Real time planning method for multiple mobile robots , 1995, Proceedings. IEEE International Symposium on Assembly and Task Planning.

[9]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation , 1984, 1984 American Control Conference.

[10]  Tamio Arai,et al.  Collision Avoidance Among Multiple Robots Using Virtual Impedance , 1989, Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications.

[11]  Viii Supervisor Sonar-Based Real-World Mapping and Navigation , 2001 .

[12]  Dale A. Lawrence Stability and transparency in bilateral teleoperation , 1993, IEEE Trans. Robotics Autom..

[13]  Yoram Koren,et al.  Real-time obstacle avoidance for fast mobile robots in cluttered environments , 1990, Proceedings., IEEE International Conference on Robotics and Automation.