A Mechanically Intelligent Crawling Robot Driven by Shape Memory Alloy and Compliant Bistable Mechanism

Mechanical components in a robotic system were used to provide body structure and mechanism to achieve physical motions following the commands from electronic controller. This kind of robotic system utilizes complex hardware and firmware for sensing and planning. To reduce computational cost and increase reliability for a robotic system, employing mechanical components to fully or partially take over control tasks is a promising way, which is also referred to as “mechanical intelligence” (MI). This paper proposes a shape memory alloy driven robot capable of using a reciprocating motion to crawl over a surface without any use of electronic controller. A mechanical logic switch is designed to determine the activation timing for a pair of antagonistic shape memory alloy (SMA) actuators. Meanwhile, a compliant pre-strain bistable mechanism is introduced to cooperate with the SMA actuators achieving reliable reciprocating motion between the two stable positions. The SMA actuator is modeled base on a static two-state theory while the bistable mechanism is described by combining a pseudo-rigid-body model (PRBM) with a Bi-beam constraint model (Bi-BCM). Following this, the design parameters of the bistable mechanism and SMA actuators are determined according to theoretical simulations. Finally, a robotic prototype is fabricated using anisotropic friction on its feet to convert the reciprocating motion of the actuator to uni-directional locomotion of the robot body over a surface. Experiments are carried out to validate the presented design concept and the modeling methods.

[1]  D. Lagoudas,et al.  Introduction to Shape Memory Alloys , 2021, Advanced Topics of Thin-Walled Structures.

[2]  Suyi Li,et al.  Peristaltic locomotion without digital controllers: Exploiting multi-stability in origami to coordinate robotic motion , 2019, Extreme Mechanics Letters.

[3]  M. Garrad,et al.  A soft matter computer for soft robots , 2019, Science Robotics.

[4]  Zhenishbek Zhakypov,et al.  Designing minimal and scalable insect-inspired multi-locomotion millirobots , 2019, Nature.

[5]  Markus P. Nemitz,et al.  A soft ring oscillator , 2019, Science Robotics.

[6]  Richard Vaia,et al.  Origami mechanologic , 2018, Proceedings of the National Academy of Sciences.

[7]  Kristina Shea,et al.  Harnessing bistability for directional propulsion of soft, untethered robots , 2018, Proceedings of the National Academy of Sciences.

[8]  Aleksandar Subic,et al.  Designing shape memory alloy linear actuators: A review , 2017 .

[9]  Robert J. Wood,et al.  An integrated design and fabrication strategy for entirely soft, autonomous robots , 2016, Nature.

[10]  Fulei Ma,et al.  Bi-BCM: A Closed-Form Solution for Fixed-Guided Beams in Compliant Mechanisms , 2016 .

[11]  M. Kovac,et al.  Learning from nature how to land aerial robots , 2016, Science.

[12]  Kyu-Jin Cho,et al.  Fabrication of Composite and Sheet Metal Laminated Bistable Jumping Mechanism , 2015 .

[13]  Chang Li,et al.  Design and Fabrication of a Soft Robotic Hand With Embedded Actuators and Sensors , 2015 .

[14]  Huai Huang,et al.  A Novel Robot Leg Designed by Compliant Mechanism , 2014, ICIRA.

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

[16]  Kyu-Jin Cho,et al.  Flytrap-inspired robot using structurally integrated actuation based on bistability and a developable surface , 2014, Bioinspiration & biomimetics.

[17]  R. Wood,et al.  Meshworm: A Peristaltic Soft Robot With Antagonistic Nickel Titanium Coil Actuators , 2013, IEEE/ASME Transactions on Mechatronics.

[18]  Stefan Seelecke,et al.  Experimental characterization of self-sensing SMA actuators under controlled convective cooling , 2013 .

[19]  Kyu-Jin Cho,et al.  Omega-Shaped Inchworm-Inspired Crawling Robot With Large-Index-and-Pitch (LIP) SMA Spring Actuators , 2013, IEEE/ASME Transactions on Mechatronics.

[20]  Kyu-Jin Cho,et al.  Engineering design framework for a shape memory alloy coil spring actuator using a static two-state model , 2012 .

[21]  Eugenio Dragoni,et al.  Increasing stroke and output force of linear shape memory actuators by elastic compensation , 2011 .

[22]  Philippe Lutz,et al.  Microfabricated bistable module for digital microrobotics , 2011 .

[23]  Robert J. Wood,et al.  Passive Aerodynamic Drag Balancing in a Flapping-Wing Robotic Insect , 2010 .

[24]  Guimin Chen,et al.  A Tristable Mechanism Configuration Employing Orthogonal Compliant Mechanisms , 2010 .

[25]  Kirsten Morris,et al.  Mechanism of bandwidth improvement in passively cooled SMA position actuators , 2009 .

[26]  Chao-Chieh Lan,et al.  A Computational Design Method for a Shape Memory Alloy Wire Actuated Compliant Finger , 2009 .

[27]  M. Sreekumar,et al.  Critical review of current trends in shape memory alloy actuators for intelligent robots , 2007, Ind. Robot.

[28]  Michael Günther,et al.  Intelligence by mechanics , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[29]  Wei-Hsin Liao,et al.  A Snake Robot Using Shape Memory Alloys , 2004, 2004 IEEE International Conference on Robotics and Biomimetics.

[30]  Larry L. Howell,et al.  Bistable Configurations of Compliant Mechanisms Modeled Using Four Links and Translational Joints , 2004 .

[31]  Gangbing Song,et al.  Position control of shape memory alloy actuators with internal electrical resistance feedback using neural networks , 2004 .

[32]  Kwun-Lon Ting,et al.  SMA actuated compliant bistable mechanisms , 2004 .

[33]  Victor Birman,et al.  Review of Mechanics of Shape Memory Alloy Structures , 1997 .

[34]  C. A. Rogers,et al.  One-Dimensional Thermomechanical Constitutive Relations for Shape Memory Materials , 1997 .

[35]  L. Brinson One-Dimensional Constitutive Behavior of Shape Memory Alloys: Thermomechanical Derivation with Non-Constant Material Functions and Redefined Martensite Internal Variable , 1993 .

[36]  Y. Furuya,et al.  Shape memory actuators for robotic applications , 1991 .

[37]  Katsutoshi Kuribayashi,et al.  Improvement of the Response of an SMA Actuator Using a Temperature Sensor , 1991, Int. J. Robotics Res..

[38]  Tad McGeer,et al.  Passive Dynamic Walking , 1990, Int. J. Robotics Res..

[39]  Rongjie Kang,et al.  Machines Which Can Think—Mechanical Intelligence (MI) , 2018 .

[40]  W. Huang,et al.  Stimulus-responsive shape memory materials: A review , 2012 .

[41]  Shorya Awtar,et al.  Elastic Averaging in Flexure Mechanisms: A Three-Beam Parallelogram Flexure Case Study , 2006 .

[42]  Dimitris C. Lagoudas,et al.  Adaptive Control of Shape Memory Alloy Actuators for Underwater Biomimetic Applications , 2000 .

[43]  K. Tanaka A THERMOMECHANICAL SKETCH OF SHAPE MEMORY EFFECT: ONE-DIMENSIONAL TENSILE BEHAVIOR , 1986 .

[44]  Joseph Edward Shigley,et al.  Mechanical engineering design , 1972 .