An Ergonomic Shared Workspace Analysis Framework for the Optimal Placement of a Compact Master Control Console

Master-Slave control is commonly used for Robot-Assisted Minimally Invasive Surgery (RAMIS). The configuration, as well as the placement of the master manipulators, can influence the remote control performance. An ergonomic shared workspace analysis framework is proposed in this letter. Combined with the workspace of the master manipulators and the human arms, the human-robot interaction workspace can be generated. The optimal master robot placement can be determined based on three criteria: 1) interaction workspace volume, 2) interaction workspace quality, and 3) intuitiveness for slave robot control. Experimental verification of the platform is conducted on a da Vinci Research Kit (dVRK). An in-house compact master manipulator (Hamlyn CRM) is used as the master robot and the da Vinci robot is used as the slave robot. Comparisons are made between with and without using design optimization to validate the effectiveness of the ergonomic shared workspace analysis technique. Results indicate that the proposed ergonomic shared workspace analysis can improve the performance of teleoperation in terms of task completion time and the number of clutching required during operation.

[1]  Cas D.P. van’t Hullenaar,et al.  Ergonomic assessment of the da Vinci console in robot-assisted surgery , 2017, Innovative surgical sciences.

[2]  Ana Luisa Trejos,et al.  Development of force-based metrics for skills assessment in minimally invasive surgery , 2014, Surgical Endoscopy.

[3]  Tamim Asfour,et al.  Robot placement based on reachability inversion , 2013, 2013 IEEE International Conference on Robotics and Automation.

[4]  Chin-Hsing Kuo,et al.  Kinematic design considerations for minimally invasive surgical robots: an overview , 2012, The international journal of medical robotics + computer assisted surgery : MRCAS.

[5]  Tamim Asfour,et al.  Toward an Unified Representation for Imitation of Human Motion on Humanoids , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[6]  Lluís Ros,et al.  A Complete Method for Workspace Boundary Determination on General Structure Manipulators , 2012, IEEE Transactions on Robotics.

[7]  Akio Morita,et al.  Master–slave robotic platform and its feasibility study for micro‐neurosurgery , 2013, The international journal of medical robotics + computer assisted surgery : MRCAS.

[8]  T. Judkins,et al.  Objective evaluation of expert and novice performance during robotic surgical training tasks , 2009, Surgical Endoscopy.

[9]  Blake Hannaford,et al.  A probabilistic representation of human workspace for use in the design of human interface mechanisms , 2001 .

[10]  Tsuneo Yoshikawa,et al.  Manipulability of Robotic Mechanisms , 1985 .

[11]  Jindong Liu,et al.  Design and Verification of A Portable Master Manipulator Based on an Effective Workspace Analysis Framework , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[12]  Stefan Ulbrich,et al.  Master Motor Map (MMM) — Framework and toolkit for capturing, representing, and reproducing human motion on humanoid robots , 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

[13]  Jindong Liu,et al.  A Self-Adaptive Motion Scaling Framework for Surgical Robot Remote Control , 2019, IEEE Robotics and Automation Letters.

[14]  Guang-Zhong Yang,et al.  Hand-Held Medical Robots , 2014, Annals of Biomedical Engineering.

[15]  Karim Abdel-Malek,et al.  Placement of Robot Manipulators to Maximize Dexterity , 2004, Int. J. Robotics Autom..

[16]  Pradeep K. Khosla,et al.  Dexterity measures for design and control of manipulators , 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

[17]  Guang-Zhong Yang,et al.  A microsurgical robot research platform for robot-assisted microsurgery research and training , 2019, International Journal of Computer Assisted Radiology and Surgery.

[18]  Guang-Zhong Yang,et al.  From Passive Tool Holders to Microsurgeons: Safer, Smaller, Smarter Surgical Robots , 2014, IEEE Transactions on Biomedical Engineering.

[19]  L. Phee,et al.  Ergonomic master controller for flexible endoscopic gastrointestinal robot manipulator , 2006, 2006 International Conference on Biomedical and Pharmaceutical Engineering.

[20]  Mamoru Mitsuishi,et al.  Master manipulator with higher operability designed for micro neuro surgical system , 2008, 2008 IEEE International Conference on Robotics and Automation.

[21]  I. Papanikolaidi,et al.  Optimal Base placement of the Da Vinci System based on the Manipulability Index , 2013 .

[22]  Fatemeh Zahedi,et al.  The Analytic Hierarchy Process—A Survey of the Method and its Applications , 1986 .

[23]  M. Mitsuishi,et al.  Study on master manipulator design parameters for robotic microsurgery , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[24]  E. Farthmann,et al.  Ergonomics: Requirements for Adjusting the Height of Laparoscopic Operating Tables , 2001, JSLS : Journal of the Society of Laparoendoscopic Surgeons.

[25]  Radu-Eugen Breaz,et al.  Using Serial Industrial Robots and CAM Techniques for Manufacturing Prosthetic Devices , 2015 .

[26]  Guang-Zhong Yang,et al.  WSRender: A Workspace Analysis and Visualization Toolbox for Robotic Manipulator Design and Verification , 2019, IEEE Robotics and Automation Letters.

[27]  Alain Jutard,et al.  A robot-task conformance index for the design of robotized cells , 1994, Robotics Auton. Syst..

[28]  Nikolaos G. Tsagarakis,et al.  Kinematic analysis and design considerations for optimal base frame arrangement of humanoid shoulders , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[29]  María Teresa Lamata,et al.  Consistency in the Analytic Hierarchy Process: a New Approach , 2006, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[30]  Guang-Zhong Yang,et al.  Emerging Robotic Platforms for Minimally Invasive Surgery , 2013, IEEE Reviews in Biomedical Engineering.