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Evaluation of Bio-Inspired Scales on Locomotion Performance of Snake-Like Robots

Published online by Cambridge University Press:  04 February 2019

Alexander H. Chang*
Affiliation:
Institute for Robotics and Intelligent Machines (IRIM), School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Patricio A. Vela
Affiliation:
Institute for Robotics and Intelligent Machines (IRIM), School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
*
*Corresponding author. E-mail: alexander.h.chang@gatech.edu

Summary

The unique frictional properties conferred by snake ventral scales inspired the engineering and fabrication of surrogate mechanisms for a robotic snake. These artificial, biologically inspired scales produce anisotropic body-ground forcing patterns with various locomotion surfaces. The benefits they confer to robotic snake-like locomotion were evaluated in experimental trials employing rectilinear, lateral undulation, and sidewinding gaits over several distinct surface types: carpet, inhomogeneous concrete and homogeneous concrete. Enhanced locomotive performance, with respect to net displacement and heading stability, was consistently measured in scenarios that utilized the engineered scales, over equivalent scenarios where the anisotropic effects of scales were absent.

Type
Articles
Copyright
© Cambridge University Press 2019 

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References

Maruyama, H. and Ito, K., “Semi-autonomous snake-like robot for search and rescue,” IEEE Safety Security and Rescue Robotics, Bremen, Germany (July 2010) pp. 16.Google Scholar
Ferworn, A., Wright, C., Tran, J., Li, C. and Choset, H., “Dog and Snake Marsupial Cooperation for Urban Search and Rescue Deployment,” IEEE International Symposium on Safety, Security, and Rescue Robotics, College Station, TX (November 2012) pp. 15.Google Scholar
Ansari, A. R., Whitman, J., Saund, B. and Choset, H., “Modular platforms for advanced inspection, locomotion, and manipulation,” 43rd Annual Waste Management Conference, Phoenix, AZ (March 2017) pp. 111.Google Scholar
Whitman, J., Zevallos, N., Travers, M. and Choset, H., “Snake robot urban search after the 2017 mexico city earthquake,” IEEE International Symposium on Safety, Security, and Rescue Robotics, Philadelphia, PA (August 2018) pp. 16.Google Scholar
Murphy, R. R., Tadokoro, S., Nardi, D., Jacoff, A., Fiorini, P., Choset, H., and Erkmen, A. M., “Search and Rescue Robotics,” In: Springer Handbook of Robotics (Siciliano, B. and Khatib, O., eds.) (Springer-Verlag, Berlin, Heidelberg, 2008) ch. 50, pp. 11511174.CrossRefGoogle Scholar
Hirose, S., Biologically Inspired Robots: Snake-Like Locomotors and Manipulators (Oxford Science Publications, Oxford, 1987).Google Scholar
Mori, M. and Hirose, S., “Development of Active Cord Mechanism ACM-R3 with Agile 3D Mobility,” IEEE International Conference on Intelligent Robots and Systems, Maui, HI (October 2001) pp. 15521557.Google Scholar
Chirikjian, G. and Burdick, J., “The kinematics of hyper-redundant robot locomotion,” IEEE Trans. Rob. Autom.11(6), 781793 (1995).CrossRefGoogle Scholar
Kimura, H. and Hirose, S., “Development of Genbu: Active Wheel Passive Joint Articulated Mobile Robot,” IEEE International Conference on Intelligent Robots and Systems, Lausanne, Switzerland (2002) pp. 823828.CrossRefGoogle Scholar
Borenstein, J., Granosik, G. and Hansen, M., “The OmniTread Serpentine Robot—Design and Field Performance,” Proceedings of the SPIE Defense and Security Conference, Unmanned Ground Vehicle Technology VII, Orlando, FL (2005) pp. 324332.CrossRefGoogle Scholar
Kamegawa, T., Yamas, T., Igarashit, H. and Matsunos, F., “Development of the Snake-like Rescue Robot ‘KOHGA’,” IEEE International Conference on Robotics and Automation, New Orleans, LA (2004) pp. 50815086.Google Scholar
Wright, C., Buchan, A., Brown, B., Geist, J., Schwerin, M., Rollinson, D., Tesch, M. and Choset, H., “Design and Architecture of the Unified Modular Snake Robot,” IEEE International Conference on Robotics and Automation, Saint Paul, MN (2012) pp. 43474354.Google Scholar
Zhen, W., Gong, C. and Choset, H., “Modeling Rolling Gaits of A Snake Robot,” IEEE International Conference on Robotics and Automation, Seattle, WA (2015) pp. 37413746.Google Scholar
Rollinson, D. and Choset, H., “Gait-Based Compliant Control for Snake Robots,” IEEE International Conference on Robotics and Automation, Karlsruhe, Germany (2013) pp. 51235128.Google Scholar
Transeth, A. A., Leine, R. I., Glocker, C. and Pettersen, K. Y., “Non-smooth 3D Modeling of a Snake Robot with External Obstacles,” IEEE International Conference on Robotics and Biomimetics, vol. 7491, Kunming, China (2006), pp. 11891196.Google Scholar
Transeth, A. A., Leine, R. I., Glocker, C., Pettersen, K. Y. and Member, S., “Snake robot obstacle-aided locomotion: Modeling, simulation, and experiments,” IEEE Trans. Robot. 24(1), 88104 (2008).CrossRefGoogle Scholar
Liljeback, P., Pettersen, K., Stavdahl, O. and Gravdahl, J., “Experimental investigation of obstacle-aided locomotion with a snake robot,” IEEE Trans. Robot. 27(4), 792800 (2011).CrossRefGoogle Scholar
Gray, J., “The mechanism of locomotion in snakes,” J. Exp. Biol. 23(2), 101120 (1946).CrossRefGoogle ScholarPubMed
Sanfilippo, F., Azpiazu, J., Marafioti, G., Transeth, A. A., Stavdahl, O. and Liljebäck, P., “Perception-driven obstacle-aided locomotion for snake robots: The state of the art, challenges and possibilities,” Appl. Sci. 7(4) (2017).CrossRefGoogle Scholar
Sanfilippo, F., Stavdahl, Ø. and Liljebäck, P., “SnakeSIM: A ROS-based Rapid-prototyping Framework for Perception-driven Obstacle-aided Locomotion of Snake Robots,” IEEE International Conference on Robotics and Biomimetics (2017) pp. 12261231.Google Scholar
Liljebäck, P., Pettersen, K. Y., Stavdahl, Ø. and Gravdahl, J. T., “Compliant Control of the Body Shape of Snake Robots,” IEEE International Conference on Robotics and Automation (2014) pp. 45484555.Google Scholar
Travers, M. J., Whitman, J., Schiebel, P. E., Goldman, D. I. and Choset, H., “Shape-based Compliance in Locomotion,” Robotics: Science and Systems, Ann Arbor, MI (June 2016).Google Scholar
Gong, C., Travers, M., Fu, X. and Choset, H., “Extended Gait Equation for Sidewinding,” IEEE International Conference on Robotics and Automation, Sacramento, CA (2013) pp. 51625167.Google Scholar
Hatton, R., Knepper, R., Choset, H., Rollinson, D., Gong, C. and Galceran, E., “Snakes on a Plan: Toward Combining Planning and Control,” IEEE International Conference on Robotics and Automation, Karlsruhe, Germany (2013) pp. 51745181.Google Scholar
Xiao, X., Cappo, E., Zhen, W., Dai, J., Sun, K., Gong, C., Travers, M. and Choset, H., “Locomotive Reduction for Snake Robots,” IEEE International Conference on Robotics and Automation, Seattle, WA (2015) pp. 37353740.Google Scholar
Astley, H. C., Gong, C., Dai, J., Travers, M., Serrano, M. M., Vela, P. A., Choset, H., Mendelson, J. R., Hu, D. L. and Goldman, D. I., “Modulation of orthogonal body waves enables high maneuverability in sidewinding locomotion,” Proc. Natl. Acad. Sci. USA 112(19), 62006205 (2015).CrossRefGoogle Scholar
Hu, D. L., Nirody, J., Scott, T. and Shelley, M. J., “The mechanics of slithering locomotion,” Proc. Natl. Acad. Sci. USA 106(25), 1008110085 (2009).CrossRefGoogle ScholarPubMed
Hazel, J., Stoneb, M., Gracec, M. and Tsukruk, V., “Nanoscale design of snake skin for reptation locomotions via friction anisotropy,” J. Biomech. 32(5), 477484 (1999).CrossRefGoogle ScholarPubMed
Berth, R. A., Westhoff, G., Bleckmann, H. and Gorb, S. N., “Surface structure and frictional properties of the skin of the Amazon tree boa Corallus hortulanus (Squamata, Boidae),” J. Comp. Physiol. A 195, 311318 (2009).CrossRefGoogle Scholar
Filippov, A. and Gorba, S. N., “Frictional-anisotropy-based systems in biology: Structural diversity and numerical model,” Sci. Rep. 3(1240) (2013).CrossRefGoogle ScholarPubMed
Marvi, H., Cook, J., Streator, J. and Hu, D., “Snakes move their scales to increase friction,” Biotribology 5, 5260 (2016).CrossRefGoogle Scholar
Liljeback, P., Pettersen, K., Stavdahl, O. and Gravdahl, J., Snake Robots: Modelling, Mechatronics, and Control (Springer-Verlag, London, 2013).CrossRefGoogle Scholar
Saito, M., Fukuya, M. and Iwasaki, T., “Serpentine locomotion with robotic snakes,” IEEE Control Syst. Mag. 22(1), 6481 (2002).Google Scholar
Hopkins, J. and Gupta, S., “Design and modeling of a new drive system and exaggerated rectilinear-gait for a snake-inspired robot,” J. Mech. Robot. 6(2), 021001021008 (2014).CrossRefGoogle Scholar
Wang, W. and Wu, S., “A caterpillar climbing robot with spine claws and compliant structural modules,” Robotica 34, 15531565 (2016).CrossRefGoogle Scholar
Manoonpong, P., Petersen, D., Kovalev, A., Wörgötter, F., Gorb, S. N., Marlene, S. and Heepe, L., “Enhanced locomotion efficiency of a bio-inspired walking robot using contact surfaces with frictional anisotropy,” Sci. Rep. 6(39455) (2016).CrossRefGoogle ScholarPubMed
Serrano, M., Chang, A., Zhang, G. and Vela, P., “Incorporating Frictional Anisotropy in the Design of a Robotic Snake through the Exploitation of Scales,” IEEE International Conference on Robotics and Automation, Seattle, WA (2015) pp. 37293734.Google Scholar
Tesch, M., Lipkin, K., Brown, I., Hatton, R., Peck, A., Rembisz, J. and Choset, H., “Parameterized and scripted gaits for modular snake robots,” Adv. Robot. 23(9), 11311158 (2012).CrossRefGoogle Scholar
Chirikjian, G. S. and Burdick, J. W., “Kinematics of Hyper-redundant Robot Locomotion with Applications to Grasping,” IEEE International Conference on Robotics and Automation, Sacramento, CA (1991) pp. 720725.Google Scholar
Burdick, J., Radford, J. and Chirikjian, G., “A ‘Sidewinding’ Locomotion Gait for Hyper-redundant Robots,” IEEE International Conference on Robotics and Automation, vol. 3, Atlanta, GA (1993) pp. 101106.Google Scholar
Chang, A. and Vela, P., “Closed-loop Path Following of Traveling Wave Rectilinear Motion through Obstacle-strewn Terrain,” IEEE International Conference on Robotics and Automation, Singapore (2017) pp. 35323537.Google Scholar
Chang, A., Serrano, M. and Vela, P., “Shape-centric Modeling of Traveling Wave Rectilinear Locomotion for Snake-like Robots,” IEEE Conference on Decision and Control, Las Vegas, NV (2016) pp. 75357541.Google Scholar
Chang, A., Serrano, M. and Vela, P., “Shape-centric Modeling of Lateral Undulation and Sidewinding Gaits for Snake Robots,” IEEE Conference on Decision and Control, Las Vegas, NV (2016) pp. 66766682.Google Scholar
Chang, A., Hyun, N., Verriest, E. and Vela, P., “Optimal Trajectory Planning and Feedback Control of Lateral Undulation in Snake-Like Robots,” Proceedings of the American Control Conference, Milwaukee, WI (2018) pp. 21142120.Google Scholar
Andersson, S. B., “Discrete Approximations to Continuous Curves,” IEEE International Conference on Robotics and Automation, Orlando, FL (2006) pp. 25462551.Google Scholar
Reddy, V., Sanderson, C. and Lovell, B. C., “An Efficient and Robust Sequential Algorithm for Background Estimation in Video Surveillance,” IEEE International Conference on Image Processing, Cairo, Egypt (2009) pp. 11091112.Google Scholar
Comaniciu, D., Ramesh, V. and Meer, P., “Real-time Tracking of Non-rigid Objects Using Mean Shift,” IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, Hilton Head Island, SC (2000) pp. 142149.Google Scholar
Mosauer, W., “On the locomotion of snakes,” Science 76(1982), 583585 (1932).CrossRefGoogle Scholar
Marvi, H., Gong, C., Gravish, N., Astley, H., Travers, M., Hatton, R. L., Mendelson, J. R. III, Choset, H., Hu, D. L. and Goldman, D. I., “Sidewinding with minimal slip: Snake and robot ascent of sandy slopes,” Science 346, 224229 (2014).CrossRefGoogle ScholarPubMed