Internet-based obstacle avoidance of mobile robot using a force-reflection

The possibility of operating in remote environments by means of teleoperated systems has always been considered of relevant interest in robotics. For this reason, in this paper, the relationship between a slave robot and the uncertain remote environment is proposed as the impedance to generate the virtual force to feed back Io the operator. For the control of a teleoperated mobile robot equipped with camera, the teleoperated mobile robot take pictures of remote environment and sends the visual information back to the operator over the Internet. Because of the limitation of communication bandwidth and narrow view-angles of camera, it is not possible to watch the environment clearly, especially shadow and curved areas. To overcome this problem, the virtual force is generated according to both the distance between the obstacle and robot and the approaching velocity of the obstacle. This virtual force is transferred back to the master over the Internet and the master, which can generate force, enables a human operator to estimate the position of obstacle in the remote environment. By holding this master, in spite of limited visual information, the operator can feel the spatial sense against the remote environment. This force reflection improves the performance of a teleoperated mobile robot significantly.

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

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

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

[4]  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).

[5]  Wen-Hong Zhu,et al.  Stability guaranteed teleoperation: an adaptive motion/force control approach , 2000, IEEE Trans. Autom. Control..

[6]  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.

[7]  Claudio Melchiorri,et al.  Control schemes for teleoperation with time delay: A comparative study , 2002, Robotics Auton. Syst..

[8]  Neville Hogan,et al.  Impedance Control: An Approach to Manipulation: Part I—Theory , 1985 .

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

[10]  Terrence Fong,et al.  Advanced Interfaces for Vehicle Teleoperation: Collaborative Control, Sensor Fusion Displays, and Remote Driving Tools , 2001, Auton. Robots.

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

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

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

[14]  Terrence Fong,et al.  Vehicle Teleoperation Interfaces , 2001, Auton. Robots.

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