Design, Fabrication, and Hysteresis Modeling of Soft Microtubule Artificial Muscle (SMAM) for Medical Applications

Robotic artificial muscles (RAMs) are promising power sources for medical fields such as surgical robotics. However, existing RAMs are challenged by scalability, material costs and fabrications. The nonlinear hysteresis in fluid-driven RAMs causes oscillations in open-loop systems. To circumvent these limitations, this letter introduces hydraulically soft microtubule artificial muscle (SMAM) that is low-cost and scalable, yet simple to fabricate. The SMAM, which only requires a flexible silicone microtube and a hollow micro-coil, is elongated or contracted under a fluid pressure. The SMAM presents an ideal candidate for flexible robotic systems such as endoscopic surgical robots. Experiments are conducted to characterize the SMAMs. Results show that the hysteresis profiles between the input syringe plunger position and output position are stable regardless of its configuration, as opposed to the highly variable responses for the tendon-sheath mechanisms. A new nonlinear model is developed to characterize the asymmetric hysteresis phenomena of the SMAM. Compared to the Bouc-Wen hysteresis models, the developed model presents a better capture of hysteresis. To demonstrate the muscle capability, a SMAMs-driven pulley and a flexible surgical arm are given. The new SMAM and its asymmetric hysteresis model are expected to provide a path for the development of rapidly efficient and low-cost soft actuators for use in flexible medical devices and surgical robotic systems.

[1]  Dominiek Reynaerts,et al.  Fabrication and control of miniature McKibben actuators , 2011 .

[2]  Kit-Hang Lee,et al.  Interfacing Soft and Hard: A Spring Reinforced Actuator. , 2020, Soft robotics.

[3]  Elliot W. Hawkes,et al.  Simple, Low-Hysteresis, Foldable, Fabric Pneumatic Artificial Muscle , 2020, IEEE Robotics and Automation Letters.

[4]  Jae Wook Jeon,et al.  An Effective Method to Improve the Accuracy of a Vernier-Type Absolute Magnetic Encoder , 2021, IEEE Transactions on Industrial Electronics.

[5]  Micky Rakotondrabe,et al.  Bouc–Wen Modeling and Inverse Multiplicative Structure to Compensate Hysteresis Nonlinearity in Piezoelectric Actuators , 2011, IEEE Transactions on Automation Science and Engineering.

[6]  Thanh Nho Do,et al.  A survey on hysteresis modeling, identification and control , 2014 .

[7]  Lin Cao,et al.  Design and modelling of a variable stiffness manipulator for surgical robots , 2018, Mechatronics.

[8]  T. Tjahjowidodo,et al.  A New Approach to Modeling Hysteresis in a Pneumatic Artificial Muscle Using The Maxwell-Slip Model , 2011, IEEE/ASME Transactions on Mechatronics.

[9]  Dirk Lefeber,et al.  The Concept and Design of Pleated Pneumatic Artificial Muscles , 2001 .

[10]  Martin Leary,et al.  A review of shape memory alloy research, applications and opportunities , 2014 .

[11]  Mai Thanh Thai,et al.  Soft Microtubule Muscle-Driven 3-Axis Skin-Stretch Haptic Devices , 2020, IEEE Access.

[12]  Thanh Nho Do,et al.  Bio‐Inspired Conformable and Helical Soft Fabric Gripper with Variable Stiffness and Touch Sensing , 2020, Advanced Materials Technologies.

[13]  Mai Thanh Thai,et al.  HFAM: Soft Hydraulic Filament Artificial Muscles for Flexible Robotic Applications , 2020, IEEE Access.

[14]  Thanh Nho Do,et al.  A survey on actuators-driven surgical robots , 2016 .

[15]  Tegoeh Tjahjowidodo,et al.  Adaptive control for enhancing tracking performances of flexible tendon–sheath mechanism in natural orifice transluminal endoscopic surgery (NOTES) , 2015 .

[16]  D. Reynaerts,et al.  Elastic Inflatable Actuators for Soft Robotic Applications , 2017, Advanced materials.

[17]  Tegoeh Tjahjowidodo,et al.  Hysteresis modeling and position control of tendon-sheath mechanism in flexible endoscopic systems , 2014 .

[18]  Carla Rolanda,et al.  Natural orifice transluminal endoscopy surgery: A review. , 2011, World journal of gastroenterology.

[19]  Nigel H. Lovell,et al.  Advanced Intelligent Systems for Surgical Robotics , 2020, Adv. Intell. Syst..

[20]  Carter S. Haines,et al.  Artificial Muscles from Fishing Line and Sewing Thread , 2014, Science.

[21]  K. Bertoldi,et al.  A Bioinspired Soft Actuated Material , 2014, Advanced materials.

[22]  Robert J. Wood,et al.  Robotic Artificial Muscles: Current Progress and Future Perspectives , 2019, IEEE Transactions on Robotics.

[23]  Helge A. Wurdemann,et al.  Actuation and stiffening in fluid-driven soft robots using low-melting-point material , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[24]  Allison M. Okamura,et al.  Design and implementation of a 300% strain soft artificial muscle , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[25]  M. Thai,et al.  Broadband Laser Ultrasonic Excitation and Multi-band Sensing for Hierarchical Automatic Damage Visualization , 2019, International Journal of Aeronautical and Space Sciences.

[26]  Yon Visell,et al.  Miniature Soft Electromagnetic Actuators for Robotic Applications , 2018 .

[27]  Sheng Quan Xie,et al.  Characterizing the Peano fluidic muscle and the effects of its geometry properties on its behavior , 2016 .

[28]  C. Riviere,et al.  Soft Miniaturized Actuation and Sensing Units for Dynamic Force Control of Cardiac Ablation Catheters. , 2020, Soft robotics.

[29]  Yon Visell,et al.  Stretchable, Twisted Conductive Microtubules for Wearable Computing, Robotics, Electronics, and Healthcare , 2017, Scientific Reports.

[30]  Dirk Lefeber,et al.  Pneumatic artificial muscles: Actuators for robotics and automation , 2002 .