Compliance, mass distribution and contact forces in cursorial and scansorial locomotion with biorobotic physical models

Locomotion in unstructured and irregular environments is an enduring challenge in robotics. This is particularly true at the small scale, where relative obstacle size increases, often to the point that a robot is required to climb and transition both over obstacles and between locomotion modes. In this paper, we explore the efficacy of different design features, using ‘morphological intelligence’, for mobile robots operating in rugged terrain, focusing on the use of active and passive tails and changes in mass distribution, as well as elastic suspensions of mass. We develop an initial prototype whegged robot with a compliant neck and test its obstacle traversal performance in rapid locomotion with varying its mass distribution. Then we examine a second iteration of the prototype with a flexible tail to explore the effect of the tail and mass distribution in ascending a slope and traversing obstacles. Based on observations from these tests, we develop a new platform with increased performance and a fin ray wheel-leg design and present experiments on traversing large obstacles, which are larger than the robot's body, of this platform with tails of varying compliance. This biorobotic platform can assist with generating and testing hypotheses in robotics-inspired biomechanics of animal locomotion. GRAPHICAL ABSTRACT

[1]  Fumiya Iida,et al.  Soft Robotics: Challenges and Perspectives , 2011, FET.

[2]  M. Braae,et al.  Rapid turning at high-speed: Inspirations from the cheetah's tail , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Vijay Kumar,et al.  The grand challenges of Science Robotics , 2018, Science Robotics.

[4]  R. Full,et al.  Tail-assisted pitch control in lizards, robots and dinosaurs , 2012, Nature.

[5]  Daniel E. Koditschek,et al.  Comparative Design, Scaling, and Control of Appendages for Inertial Reorientation , 2015, IEEE Transactions on Robotics.

[6]  T. Dawson,et al.  Energetics and biomechanics of locomotion by red kangaroos (Macropus rufus). , 1998, Comparative biochemistry and physiology. Part B, Biochemistry & molecular biology.

[7]  D. Rus,et al.  Design, fabrication and control of soft robots , 2015, Nature.

[8]  Yasuo Kuniyoshi,et al.  Active bending motion of pole vault robot to improve reachable height , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[9]  David Lentink,et al.  Touchdown to take-off: at the interface of flight and surface locomotion , 2017, Interface Focus.

[10]  A Jusufi,et al.  Righting and turning in mid-air using appendage inertia: reptile tails, analytical models and bio-inspired robots , 2010, Bioinspiration & biomimetics.

[11]  C. R. Taylor,et al.  Energetic Cost of Locomotion in Kangaroos , 1973, Nature.

[12]  Matthias Bethge,et al.  DeepLabCut: markerless pose estimation of user-defined body parts with deep learning , 2018, Nature Neuroscience.

[13]  Florentin Wörgötter,et al.  Enhanced Locomotion Efficiency of a Bio-inspired Walking Robot using Contact Surfaces with Frictional Anisotropy , 2016, Scientific reports.

[14]  Robert J. Wood,et al.  Soft Sensors for Curvature Estimation under Water in a Soft Robotic Fish , 2019, 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft).

[15]  Mark R. Cutkosky,et al.  Biologically inspired climbing with a hexapedal robot , 2008, J. Field Robotics.

[16]  Barry Trimmer,et al.  Soft robots , 2013, Current Biology.

[17]  David Zarrouk,et al.  EFFECT OF INERTIAL TAIL ON YAW RATE OF 45 GRAM LEGGED ROBOT , 2012 .

[18]  Alan M. Wilson,et al.  Locomotion dynamics of hunting in wild cheetahs , 2013, Nature.

[19]  James Weaver,et al.  Heads or Tails? Cranio-Caudal Mass Distribution for Robust Locomotion with Biorobotic Appendages Composed of 3D-Printed Soft Materials , 2019, Living Machines.

[20]  Catherine Pavlov,et al.  Enhancing the Vertical Mobility of a Robot Hexapod Using Microspines , 2019, ArXiv.

[21]  Tao Mei,et al.  A Wheeled Wall-Climbing Robot with Bio-Inspired Spine Mechanisms , 2015 .

[22]  Gilbert L. Peterson,et al.  The latest generation Whegs™ robot features a passive-compliant body joint , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[23]  Justin E. Seipel,et al.  Energy Efficiency of Legged Robot Locomotion With Elastically Suspended Loads , 2013, IEEE Transactions on Robotics.

[24]  Daniel M. Vogt,et al.  Undulatory Swimming Performance and Body Stiffness Modulation in a Soft Robotic Fish-Inspired Physical Model. , 2017, Soft robotics.

[25]  G. Lauder,et al.  Fish-like aquatic propulsion studied using a pneumatically-actuated soft-robotic model , 2020, Bioinspiration & biomimetics.

[26]  Timothy M. Kowalewski,et al.  Serially Actuated Locomotion for Soft Robots in Tube-Like Environments , 2017, IEEE Robotics and Automation Letters.

[27]  Alan M. Wilson,et al.  The locomotor kinematics and ground reaction forces of walking giraffes , 2019, Journal of Experimental Biology.

[28]  Hod Lipson,et al.  Evolving Soft Robots in Tight Spaces , 2015, GECCO.

[29]  Hongliang Ren,et al.  Single-Motor Controlled Tendon-Driven Peristaltic Soft Origami Robot , 2018, Journal of Mechanisms and Robotics.

[30]  R J Full,et al.  Distributed mechanical feedback in arthropods and robots simplifies control of rapid running on challenging terrain , 2007, Bioinspiration & biomimetics.

[31]  Mirko Kovac,et al.  A Passively Adaptive Microspine Grapple for Robust, Controllable Perching , 2019, 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft).

[32]  Jasmine A. Nirody,et al.  Geckos Race Across the Water’s Surface Using Multiple Mechanisms , 2018, Current Biology.

[33]  Yong-Lae Park,et al.  Modeling and Control of a Soft Robotic Fish with Integrated Soft Sensing , 2021, Adv. Intell. Syst..

[34]  I. Park,et al.  Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications , 2020, Adv. Intell. Syst..

[35]  Masayoshi Tomizuka,et al.  Tail Assisted Dynamic Self Righting , 2012 .

[36]  Sangbae Kim,et al.  SpinybotII: climbing hard walls with compliant microspines , 2005, ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005..

[37]  LipsonHod,et al.  Challenges and Opportunities for Design, Simulation, and Fabrication of Soft Robots , 2014 .

[38]  R. Full,et al.  Active tails enhance arboreal acrobatics in geckos , 2008, Proceedings of the National Academy of Sciences.

[39]  Khaled Elleithy,et al.  Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering , 2015 .

[40]  M. Cutkosky,et al.  Climbing Walls with Microspines , 2006 .

[41]  M. Braae,et al.  An Actuated Tail Increases Rapid Acceleration Manoeuvres in Quadruped Robots , 2015 .