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Robotic tails: a state-of-the-art review

Published online by Cambridge University Press:  25 May 2018

Wael Saab ,
William S. Rone  and
Pinhas Ben-Tzvi
Wael Saab
Affiliation:
Robotics and Mechatronics Laboratory, Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA E-mails: waelsaab@vt.edu, wsrone@vt.edu
William S. Rone
Affiliation:
Robotics and Mechatronics Laboratory, Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA E-mails: waelsaab@vt.edu, wsrone@vt.edu
Pinhas Ben-Tzvi*
Affiliation:
Robotics and Mechatronics Laboratory, Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA E-mails: waelsaab@vt.edu, wsrone@vt.edu
*
*Corresponding author. E-mail: bentzvi@vt.edu
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Summary

This paper reviews the state-of-the-art in robotic tails intended for inertial adjustment applications on-board mobile robots. Inspired by biological tails observed in nature, robotic tails provide a separate means to enhance stabilization, and maneuverability from the mobile robot's main form of locomotion, such as legs or wheels. Research over the past decade has primarily focused on implementing single-body rigid pendulum-like tail mechanisms to demonstrate inertial adjustment capabilities on-board walking, jumping and wheeled mobile robots. Recently, there have been increased efforts aimed at leveraging the benefits of both articulated and continuum tail mechanism designs to enhance inertial adjustment capabilities and further emulate the structure and functionalities of tail usage found in nature. This paper discusses relevant research in design, modeling, analysis and implementation of robotic tails onto mobile robots, and highlight how this work is being used to build robotic systems with enhanced performance capabilities. The goal of this article is to outline progress and identify key challenges that lay ahead.

Keywords

Biomimetic robotsRobot dynamicsMobile robotsLegged robotsNovel applications of robotics
Type
Articles
Information
Robotica , Volume 36 , Issue 9 , September 2018 , pp. 1263 - 1277
Copyright
Copyright © Cambridge University Press 2018 

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References

1. Hickman, G. C., “The mammalian tail: A review of functions,” Mammal Rev. 9 (4), 143–157 (1979).Google Scholar
2. Howell, A. B., “Speed in animals, their specialization for running and leaping,” Am. J. Phys. Anthropology 3 (1), 109–110 (1944).Google Scholar
3. Benton, M. J., “Studying function and behavior in the fossil record,” PLoS Biol. 8 (3), e1000321 (2010).Google Scholar
4. Proske, U., “Energy conservation by elastic storage in kangaroos,” Endeavour 4(4), 148–153 (1980).Google Scholar
5. Santiago, J. L. C., Godage, I. S., Gonthina, P. and Walker, I. D., “Soft robots and kangaroo tails: Modulating compliance in continuum structures through mechanical layer jamming,” Soft Robot. 3 (2), 54–63 (2016).Google Scholar
6. Johnson, A. M., Libby, T., Chang-Siu, E., Tomizuka, M., Full, R. J. and Koditschek, D. E., “Tail assisted dynamic self righting,” World Sci. 611–620 (2012).Google Scholar
7. Libby, T., Moore, T. Y., Chang-Siu, E., Li, D., Cohen, D. J., Jusufi, A. and Full, R. J., “Tail-assisted pitch control in lizards, robots and dinosaurs,” Nature 481(7380), 181–184 (2012).Google Scholar
8. Greene, H. W., Burghardt, G. M., Dugan, B. A. and Rand, A. S., “Predation and the defensive behavior of green iguanas (Reptilia, Lacertilia, Iguanidae),” J. Herpetology 12 (2), 169–176 (1978).Google Scholar
9. Hedrick, T. L. and Biewener, A., “Low speed maneuvering flight of the rose-breasted cockatoo (Eolophus roseicapillus). I. Kinematic and neuromuscular control of turning,” J. Exp. Biol. 210 (11), 1897–1911 (2007).Google Scholar
10. Kane, T. and Scher, M., “A dynamical explanation of the falling cat phenomenon,” Int. J. Solids Struct. 5 (7), 663IN1667–1666IN2670 (1969).Google Scholar
11. Pijnappels, M., Kingma, I., Wezenberg, D., Reurink, G. and van Dieën, J. H., “Armed against falls: The contribution of arm movements to balance recovery after tripping,” Exp. Brain Res. 201 (4), 689–699 (2010).Google Scholar
12. Crawford, L. S. and Sastry, S. S., “Biological Motor Control Approaches for a Planar Diver,” Conference on Decision and Control (1995) pp. 3881–3886.Google Scholar
13. Lim, H.-o., Kaneshima, Y. and Takanishi, A., “Online Walking Pattern Generation for Biped Humanoid Robot with Trunk,” IEEE International Conference on Robotics and Automation (2002) pp. 3111–3116.Google Scholar
14. Harada, K., Kajita, S., Kaneko, K. and Hirukawa, H., “Zmp Analysis for Arm/Leg Coordination,” International Conference on Intelligent Robots and Systems (2003) pp. 75–81.Google Scholar
15. Papadopoulos, E. and Rey, D. A., “A New Measure of Tipover Stability Margin for Mobile Manipulators,” IEEE International Conference on Robotics and Automation (1996) pp. 3111–3116.Google Scholar
16. Gupta, S. K., Bejgerowski, W., Gerdes, J., Hopkins, J., Lee, L., Narayanan, M. S., Mendel, F. and Krovi, V., An Engineering Approach to Utilizing Bio-Inspiration in Robotics Applications, Biologically Inspired Design (Springer, London, 2014) pp. 245–267.Google Scholar
17. Wertz, J. R., Spacecraft Attitude Determination and Control, (Springer Science & Business Media, Springer, Netherlands, 2012).Google Scholar
18. Oates, G. C., Aircraft Propulsion Systems Technology and Design (Aiaa, Portland, OR, 1989).Google Scholar
19. Lee, S.-H. and Goswami, A., “Reaction Mass Pendulum (RMP): An Explicit Model for Centroidal Angular Momentum of Humanoid Robots,” IEEE International Conference on Robotics and Automation (2007) pp. 4667–4672.Google Scholar
20. Carpenter, M. D. and Peck, M. A., “Reducing base reactions with gyroscopic actuation of space-robotic systems,” IEEE Trans. Robot. 25 (6), 1262–1270 (2009).Google Scholar
21. Machairas, K. and Papadopoulos, E., “On Quadruped Attitude Dynamics and Control Using Reaction Wheels and Tails,” European Control Conference (2015) pp. 753–758.Google Scholar
22. Briggs, R., Lee, J., Haberland, M. and Kim, S., “Tails in Biomimetic Design: Analysis, Simulation, and Experiment,” International Conference on Intelligent Robots and Systems (2012) pp. 1473–1480.Google Scholar
23. Patel, A. and Boje, E., “On the conical motion of a two-degree-of-freedom tail inspired by the cheetah,” IEEE Trans. Robot. 31 (6), 1555–1560 (2015).Google Scholar
24. Patel, A. and Braae, M., “Rapid Turning at High-Speed: Inspirations from the Cheetah's Tail,” IEEE/RSJ International Conference on Intelligent Robots and Systems (2013) pp. 5506–5511.Google Scholar
25. Jusufi, A., Kawano, D., Libby, T. and Full, R., “Righting and turning in mid-air using appendage inertia: Reptile tails, analytical models and bio-inspired robots,” Bioinspiration and Biomimetics 5 (4), 045001 (2010).Google Scholar
26. Liu, G.-H., Lin, H.-Y., Lin, H.-Y., Chen, S.-T. and Lin, P.-C., “A bio-inspired hopping kangaroo robot with an active tail,” J. Bionic Eng. 11 (4), 541–555 (2014).Google Scholar
27. De, A. and Koditschek, D. E., “The penn jerboa: A platform for exploring parallel composition of templates,” preprint arXiv:1502.05347, (2015).Google Scholar
28. Zeglin, G. J., Uniroo–A One Legged Dynamic Hopping Robot, (Massachusetts Institute of Technology, Cambridge, MA, 1991).Google Scholar
29. Marchese, A. D., Onal, C. D. and Rus, D., “Autonomous soft robotic fish capable of escape maneuvers using fluidic elastomer actuators,” Soft Robot. 1 (1), 75–87 (2014).Google Scholar
30. Liu, J. and Hu, H., “Biological inspiration: From carangiform fish to multi-joint robotic fish,” J. Bionic Eng. 7 (1), 35–48 (2010).Google Scholar
31. Chang-Siu, E., Libby, T., Tomizuka, M. and Full, R. J., “A Lizard-Inspired Active Tail Enables Rapid Maneuvers and Dynamic Stabilization in a Terrestrial Robot,” International Conference on Intelligent Robots and Systems (2011) pp. 1887–1894.Google Scholar
32. Chang-Siu, E., Libby, T., Brown, M., Full, R. J. and Tomizuka, M., “A Nonlinear Feedback Controller for Aerial Self-Righting by a Tailed Robot,” International Conference on Robotics and Automation (2013) pp. 32–39.Google Scholar
33. Takita, K., Katayama, T. and Hirose, S., “The Efficacy of the Neck and Tail of Miniature Dinosaur-like Robot TITRUS-III,” International Conference on Intelligent Robots and Systems (2002) pp. 2593–2598.Google Scholar
34. Zhao, J., Zhao, T., Xi, N., Cintrón, F. J., Mutka, M. W. and Xiao, L., “Controlling Aerial Maneuvering of a Miniature Jumping Robot using its Tail,” International Conference on Intelligent Robots and Systems (2013) pp. 3802–3807.Google Scholar
35. Haynes, G. C., Pusey, J., Knopf, R., Johnson, A. M. and Koditschek, D. E., “Laboratory on Legs: An Architecture for Adjustable Morphology with Legged Robots,” SPIE Defense, Security, and Sensing (2012) pp. 83870W-83870W–83814.Google Scholar
36. Zhao, J., Zhao, T., Xi, N., Mutka, M. W. and Xiao, L., “MSU tailbot: Controlling aerial maneuver of a miniature-tailed jumping robot,” IEEE/ASME Trans. Mechatronics 20 (6), 2903–2914 (2015).Google Scholar
37. Patel, A. and Braae, M., “Rapid Acceleration and Braking: Inspirations from the Cheetah's Tail,” IEEE International Conference on Robotics and Automation (2014) pp. 793–799.Google Scholar
38. Galloway, K. C., Haynes, G. C., Ilhan, B. D., Johnson, A. M., Knopf, R., Lynch, G. A., Plotnick, B. N., White, M. and Koditschek, D. E., “X-RHex: A highly mobile hexapedal robot for sensorimotor tasks,” (2010).Google Scholar
39. Kohut, N., Haldane, D., Zarrouk, D. and Fearing, R., “Effect of Inertial Tail on Yaw Rate of 45 Gram Legged Robot,” International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machinces (2012) pp. 157–164.Google Scholar
40. Kohut, N. J., Pullin, A. O., Haldane, D. W., Zarrouk, D. and Fearing, R. S., “Precise Dynamic Turning of a 10 cm Legged Robot on a Low Friction Surface using a Tail,” IEEE International Conference on Robotics and Automation (2013) pp. 3299–3306.Google Scholar
41. Berenguer, F. J. and Monasterio-Huelin, F. M., “Zappa, a quasi-passive biped walking robot with a tail: Modeling, behavior, and kinematic estimation using accelerometers,” IEEE Trans. Indus. Electr. 55 (9), 3281–3289 (2008).Google Scholar
42. Rone, W., Saab, W. and Ben-Tzvi, P., “Design, Modeling and Optimization of the Universal-Spatial Robotic Tail,” International Mechanical Engineering Congress and Exposition (2017) p. V04AT05A020.Google Scholar
43. Saab, W., Rone, W. and Ben-Tzvi, P., “Discrete modular serpentine robotic tail: Design, analysis and experimentation,” Robotica 1–25 (2018). doi: 10.1017/S0263574718000176Google Scholar
44. Saab, W., Rone, W., Kumar, A. and Ben-Tzvi, P., “Design and integration of a novel spatial articulated robotic tail,” IEEE/ASME Trans. Mechatronics (2018).Google Scholar
45. Rone, W., Saab, W., Ben-Tzvi, P., “Design, Modeling and Integration of a Flexible Universal Spatial Robotic Tail”, Journal of Mechanisms and Robotics, Transactions of the ASME, 10 (4), pp. 041001: 1–14, August 2018.Google Scholar
46. Saab, W. and Ben-Tzvi, P., “Design and Analysis of a Discrete Modular Serpentine Robotic Tail for Improved Performance of Mobile Robots,” International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2016) p. V05AT07A061.Google Scholar
47. Zhao, J., Xu, J., Gao, B., Xi, N., Cintrón, F. J., Mutka, M. W. and Xiao, L., “MSU jumper: A single-motor-actuated miniature steerable jumping robot,” IEEE Trans. Robot. 29 (3), 602–614 (2013).Google Scholar
48. Zeglin, G. J., Uniroo–A One Legged Dynamic Hopping Robot (Massachusetts Institute of Technology, 1991).Google Scholar
49. Libby, T., Johnson, A. M., Chang-Siu, E., Full, R. J. and Koditschek, D. E., “Comparative design, scaling, and control of appendages for inertial reorientation,” IEEE Trans. Robot. 32 (6), 1380–1398 (2016).Google Scholar
50. Zhao, J., Zhao, T., Xi, N., Cintrón, F. J., Mutka, M. W. and Xiao, L., “Controlling Aerial Maneuvering of a Miniature Jumping Robot Using Its Tail,” International Conference on Intelligent Robots and Systems (2013) pp. 3802–3807.Google Scholar
51. Saab, W. and Ben-Tzvi, P., “Maneuverability and Heading Control of a Quadruped Robot Utilizing Tail Dynamics,” Dynamic Systems and Control Conference (2017) pp. V002T021A010: 001–007.Google Scholar
52. Wilson, A. M., Lowe, J., Roskilly, K., Hudson, P. E., Golabek, K. and McNutt, J., “Locomotion dynamics of hunting in wild cheetahs,” Nature 498(7453), 185–189 (2013).Google Scholar
53. Full, R. J. and Koditschek, D. E., “Templates and anchors: Neuromechanical hypotheses of legged locomotion on land,” J Exp. biol. 202 (23), pp. 3325–3332 (1999).Google Scholar
54. Rone, W. and Ben-Tzvi, P., “Dynamic modeling and simulation of a yaw-angle quadruped maneuvering with a planar robotic tail,” J. Dynamic Syst. Meas. Control 138 (8), 084502 (2016).Google Scholar
55. Rone, W. and Ben-Tzvi, P., “Maneuvering and stabilizing control of a quadrupedal robot using a Serpentine Tail,” IEEE Conference on Control Technology and Applications (2017) pp. 1763–1768.Google Scholar
56. Saab, W. and Ben-Tzvi, P., “Design and Analysis of a Robotic Modular Leg,” International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2016) pp. V05AT07A062: 061–068.Google Scholar
57. Saab, W., Rone, W. and Ben-Tzvi, P., “Robotic modular leg: Design, analysis and experimentation,” J. Mech. Robot. 9 (2) pp. 024501: 024501–024506 (2016).Google Scholar
58. Laschi, C. and Cianchetti, M., “Soft robotics: New perspectives for robot bodyware and control,” Front. Bioeng. Biotechnol. 2, 3 (2014).Google Scholar
59. Kim, S., Laschi, C. and Trimmer, B., “Soft robotics: A bioinspired evolution in robotics,” Trends in Biotechnology 31 (5), 287–294 (2013).Google Scholar
60. Rone, W. S. and Ben-Tzvi, P., “Continuum Robotic Tail Loading Analysis for Mobile Robot Stabilization and Maneuvering,” International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2014) pp. V05AT08A009–V005AT008A009.Google Scholar
61. Rone, W. S. and Ben-Tzvi, P., “Mechanics modeling of multisegment rod-driven continuum robots,” ASME J. Mech. Robot. 6 (4), 041006 (2014).Google Scholar
62. Rone, W. S. and Ben-Tzvi, P., “Continuum robot dynamics utilizing the principle of virtual power,” IEEE Trans. Robot. 30 (1), pp. 275–287 (2014).Google Scholar
63. Cheng, N. G., Lobovsky, M. B., Keating, S. J., Setapen, A. M., Gero, K. I., Hosoi, A. E. and Iagnemma, K. D., “Design and Analysis of A Robust, Low-Cost, Highly Articulated Manipulator Enabled by Jamming of Granular Media,” International Conference on Robotics and Automation (2012) pp. 4328–4333.Google Scholar
64. Hardesty, L., Soft robotic fish moves like the real thing (MIT, MIT News Office, 2014).Google Scholar