Obstacle avoidance of Mobile Robot with Virtual Impedance

Abstract In this paper, a virtual force is generated and fed back to the operator to make the teleoperation more reliable, which reflects the relationship between a slave robot and an uncertain remote environment as a form of an impedance. In general, for the teleoperation, the teleoperated mobile robot t akes pictures of the remote environment and sends the visual information back to the operator over the Internet. Because of the limitations of communication bandwidth and narrow view-angles of camera, it is not possible to watch certain regions, for examples, the shadow and curved areas. To overcome this problem, a virtual force is generated accordin g to both the distance between the obstacle and the robot and the approaching velocity of the obstacle w.r.t the collision vector based on the ultrasonic sensor data. This virtual force is transferred back to the master (two degrees of freedom joystick) over the Internet to enable a human operator to estimate the position of obstacle at the remote site. By holding this master, in spite of limited visual information, the operator can feel the spatial sense against the remote environment. It is demonstrated by experiments that this collision vector based haptic reflection improves the performance of teleoperated mobile robot significantly.Key Words : Internet based control, Teleoperation, Force reflection, Mob ile robot, Obstacle avoidance

[1]  A. Kitamura,et al.  Mobility of legged robot by non-contact impedance control , 2008, 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

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

[3]  Kazuhiko Terashima,et al.  Semi-autonomous obstacle avoidance of omnidirectional wheelchair by joystick impedance control , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

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

[5]  Baoguo Li,et al.  Adaptive fuzzy control for mobile robot obstacle avoidance based on virtual line path tracking , 2006, 2006 IEEE International Conference on Robotics and Biomimetics.

[6]  Yoram Koren,et al.  Histogramic in-motion mapping for mobile robot obstacle avoidance , 1991, IEEE Trans. Robotics Autom..

[7]  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.

[8]  Gaurav S. Sukhatme,et al.  Haptic control of a mobile robot: a user study , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Sukhan Lee,et al.  Modeling, design, and evaluation of advanced teleoperator control systems with short time delay , 1993, IEEE Trans. Robotics Autom..

[10]  F. Janabi-Sharifi,et al.  Internet-based teleoperation of a mobile robot using shared impedance control scheme: a pilot study , 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

[11]  Ju-Jang Lee,et al.  Generating artificial force for feedback control of teleoperated mobile robots , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

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