Position and stiffness bounding approach for geometry transparency in time-delayed teleoperations

This paper proposes a position and stiffness bounding approach (PSBA) for improving “geometry transparency” in time-delayed teleoperations. The proposed method can rapidly update the local model location in master site to the contact location in the slave site. The proposed PSBA can therefore avoid instability problem due to both discrete force controller and sudden contact location changes (so called “model jump effect”). Effectiveness of the proposed approach is shown by 1-DOF simple contact experiment in 500ms round trip time delayed virtual environment.

[1]  J. Edward Colgate,et al.  Passivity of a class of sampled-data systems: Application to haptic interfaces , 1997, J. Field Robotics.

[2]  Riaz Uddin,et al.  Model predictive energy-bounding approach for the perception of multiple degree-of-freedom objects in bilateral teleoperation with online geometry and parameter of remote environment: A feasibility test , 2013, 2013 13th International Conference on Control, Automation and Systems (ICCAS 2013).

[3]  Ali Shahdi,et al.  Model Predictive Control for Transparent Teleoperation Under Communication Time Delay , 2006, IEEE Transactions on Robotics.

[4]  Dongjun Lee,et al.  Passive-Set-Position-Modulation Framework for Interactive Robotic Systems , 2010, IEEE Transactions on Robotics.

[5]  Eckehard G. Steinbach,et al.  Dynamic model displacement for model-mediated teleoperation , 2013, 2013 World Haptics Conference (WHC).

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

[7]  Septimiu E. Salcudean,et al.  Bimanual telerobotic surgery with asymmetric force feedback: A daVinci® surgical system implementation , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  J. Edward Colgate,et al.  Passivity of a class of sampled-data systems: Application to haptic interfaces , 1997 .

[9]  Probal Mitra,et al.  Model-mediated Telemanipulation , 2008, Int. J. Robotics Res..

[10]  김종필,et al.  Robustly Stable Haptic Interaction Control using an Energy-Bounding Algorithm , 2010 .

[11]  Jee-Hwan Ryu,et al.  6-DOF extension of memory-based passivation approach for stable haptic interaction , 2014, Intelligent Service Robotics.

[12]  Aude Bolopion,et al.  A Review of Haptic Feedback Teleoperation Systems for Micromanipulation and Microassembly , 2013, IEEE Transactions on Automation Science and Engineering.

[13]  Keyvan Hashtrudi-Zaad,et al.  Smith Predictor Type Control Architectures for Time Delayed Teleoperation , 2006, Int. J. Robotics Res..

[14]  Probal Mitra,et al.  User Perception and Preference in Model Mediated Telemanipulation , 2007, Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07).

[15]  Ryan J. Murphy,et al.  Approaches to robotic teleoperation in a disaster scenario: From supervised autonomy to direct control , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Hendrik Van Brussel,et al.  Stability of Model-Mediated Teleoperation: Discussion and Experiments , 2012, EuroHaptics.