Learning-Based Thermal Rendering in Telepresence

We propose a new method for thermal rendering in telepresence systems which allows an operator to feel most transparently the thermal behavior of the remote object. It is based on learning and thermal heat flux generation. Two databases are constructed from real measurements recorded during direct contact between operator's finger and different materials. One database is used in order to identify the material in the slave side, the other database is used to generate desired heat flux for the thermal display loop. The identification bloc is based on Principal Component Analysis and Neural Network. Experimental results validating the proposed method are discussed.

[1]  Darwin G. Caldwell,et al.  A high power/weight dexterous manipulator using 'Sensory Glove' based motion control and tactile feedback , 1995 .

[2]  A. Kheddar,et al.  Thermal feedback model for virtual reality , 2003, MHS2003. Proceedings of 2003 International Symposium on Micromechatronics and Human Science (IEEE Cat. No.03TH8717).

[3]  Akio Yamamoto,et al.  Control of thermal tactile display based on prediction of contact temperature , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[4]  Lynette A. Jones,et al.  The psychophysics of temperature perception and thermal-interface design , 2002, Proceedings 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. HAPTICS 2002.

[5]  R. Andrew Russell,et al.  Thermal sensor for object shape and material constitution , 1988, Robotica.

[6]  Abderrahmane Kheddar,et al.  Thermal bilateral coupling in teleoperators , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  L.A. Jones,et al.  Material identification using real and simulated thermal cues , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.