Haptic broadcasting system based on environmental impedance transmission

In recent years, haptic communication systems have been attracting attention as third media following visual and audio communication systems. However, the way of transmitting haptic information to many people has not been established yet. The purpose of this research is to develop the basic system which broadcasts the haptic information. This papar proposes a haptic broadcasting system composed of a master-slave system and the other actuators which are used for multiple operators called ‘audience’ to feel environmental impedance. The master-slave system implements a bilateral control based on acceleration control. In the slave side, the environmental impedance is estimated in real time by using the recursive least-squares algorithm with a forgetting factor. The estimated environmental impdance is transmitted over the network to the other actuators which are manipulated by audience in the remote place. Each audience is able to feel the remote environment through each actuator. The validity of the proposed system described in this paper is confirmed by some experimental results.

[1]  Blake Hannaford,et al.  A design framework for teleoperators with kinesthetic feedback , 1989, IEEE Trans. Robotics Autom..

[2]  Kouhei Ohnishi,et al.  Motion control for advanced mechatronics , 1996 .

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

[4]  S. Katsura,et al.  Decoupled haptic transmission by multilateral control , 2006, 9th IEEE International Workshop on Advanced Motion Control, 2006..

[5]  Toshiyuki Murakami,et al.  A unified approach to position and force control by fuzzy logic , 1996, IEEE Trans. Ind. Electron..

[6]  Tsuneo Yoshikawa,et al.  Bilateral control of master-slave manipulators for ideal kinesthetic coupling-formulation and experiment , 1994, IEEE Trans. Robotics Autom..

[7]  Stefano Stramigioli,et al.  Contact impedance estimation for robotic systems , 2005, IEEE Trans. Robotics.

[8]  K. Ohnishi,et al.  Reproducibility and operationality in bilateral teleoperation , 2004, The 8th IEEE International Workshop on Advanced Motion Control, 2004. AMC '04..

[9]  Bernard Bayle,et al.  In Vivo Model Estimation and Haptic Characterization of Needle Insertions , 2007, Int. J. Robotics Res..

[10]  K. Ohnishi,et al.  Multilateral Control for Skill Education based on Haptic Data Storage , 2006, 2006 IEEE International Conference on Industrial Technology.

[11]  Yuichi Matsumoto,et al.  Realization of "law of action and reaction" by multilateral control , 2004, The 8th IEEE International Workshop on Advanced Motion Control, 2004. AMC '04..

[12]  Septimiu E. Salcudean,et al.  On the use of local force feedback for transparent teleoperation , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[13]  Kouhei Ohnishi,et al.  Estimation, identification, and sensorless control in motion control system , 1994 .

[14]  Toshiyuki Murakami,et al.  Torque sensorless control in multidegree-of-freedom manipulator , 1993, IEEE Trans. Ind. Electron..