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Kinematics and Manipulability Analysis of a Highly Articulated Soft Robotic Manipulator

Published online by Cambridge University Press:  18 January 2019

Mahdi Bamdad*
Affiliation:
School of Mechanical and Mechatronics Engineering, Mechatronic Research Lab, Shahrood University of Technology, Shahrood, Iran E-mail: s.m.bahri@shahroodut.ac.ir
M. Mehdi Bahri
Affiliation:
School of Mechanical and Mechatronics Engineering, Mechatronic Research Lab, Shahrood University of Technology, Shahrood, Iran E-mail: s.m.bahri@shahroodut.ac.ir
*
*Corresponding author. E-mail: bamdad@shahroodut.ac.ir

Summary

Recently, the idea of applying “jamming” of appropriate media has been exploited for a novel continuum robot design. It is completed by applying vacuum in a robot structure filled with granular media. The backbone deformation and motion are achieved by controlling the fluid pressure. A jammable robotic manipulator does not certainly follow constant curvature during bending, that is, gravitational loads cause section sag. The kinematics describes the deformation of continuum manipulators. This formulation is expected to facilitate additional synthesis and analysis on workspace. This paper presents a Jacobian-based approach to obtain the forward kinematics solution. The proposed kinematic formulation in this paper tries to combine the key advantages of the techniques in constant curvature and variable curvature models. Hence, the deformation of any arbitrary bending is modeled. The workspace synthesis is continued by kinematic analysis, and in this regard, the manipulability measure is computed. This is an important improvement when compared with existing work for this kind of manipulators. It shows how manipulability measure can determine the workspace quality, where usually reachability is used for robot’s capabilities representation. As a result, the forward kinematics and manipulability analysis based on a piecewise-constant-curvature approximation are discussed in the simulation. The simulation has been carried out according to the fabricated experimental robot.

Type
Articles
Copyright
Copyright © Cambridge University Press 2019 

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References

Walker, I. D., “Continuous backbone ‘continuum’ robot manipulators,” ISRN Robot. 2013, 119 (2013).CrossRefGoogle Scholar
Hirose, S. and Mori, M., “Biologically Inspired Snake-like Robots,” IEEE International Conference on Robotics and Biomimetics, 2004. ROBIO 2004, Shenyang, China (2004) pp. 17.Google Scholar
Robinson, G. and Davies, J. B. C., “Continuum Robots—A State of the Art,” Proceedings 1999 IEEE International Conference on Robotics and Automation, 1999, Detroit, MI, USA (1999) pp. 28492854.Google Scholar
Chirikjian, G. S.Conformational modeling of continuum structures in robotics and structural biology: A review,” Adv. Robot. 29(13), 817829 (2015).CrossRefGoogle ScholarPubMed
Casper, J. and Murphy, R. R., “Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center,” IEEE Trans. Syst. Man Cybern B (Cybernetics) 33, 367385 (2003).CrossRefGoogle ScholarPubMed
Zhang, H., Wang, W., Deng, Z., Zong, G. and Zhang, J., “A novel reconfigurable robot for urban search and rescue,” Int. J. Adv. Robot Syst. 3, 359366 (2006).CrossRefGoogle Scholar
Simaan, N., “Snake-like Units Using Flexible Backbones and Actuation Redundancy for Enhanced Miniaturization,” Proceedings of the 2005 IEEE International Conference on Robotics and Automation (2005) pp. 30123017.CrossRefGoogle Scholar
Majidi, C., “Soft robotics: A perspective—current trends and prospects for the future,” Soft Robot. 1, 511 (2014).CrossRefGoogle Scholar
Trivedi, D., Rahn, C. D., Kier, W. M. and Walker, I. D., “Soft robotics: Biological inspiration, state of the art, and future research,” Appl. Bionics. Biomech. 5, 99117 (2008).CrossRefGoogle Scholar
Shepherd, R. F., Ilievski, F., Choi, W., Morin, S. A., Stokes, A. A., Mazzeo, A. D., Chen, X., Wang, M., Whitesides, G. M., “Multigait soft robot,” Proc. Natl. Acad. Sci. 108, 2040020403 (2011).CrossRefGoogle ScholarPubMed
Suzumori, K., Endo, S., Kanda, T., Kato, N. and Suzuki, H., “A Bending Pneumatic Rubber Actuator Realizing Soft-bodied Manta Swimming Robot,” Proceedings 2007 IEEE International Conference on Robotics and Automation Rome (2007) pp. 49754980.CrossRefGoogle Scholar
Seok, S., Onal, C. D., Wood, R., Rus, D. and Kim, S., “Peristaltic Locomotion with Antagonistic Actuators in Soft Robotics,” IEEE International Conference on Robotics and Automation (ICRA), 2010 Anchorage, Alaska, USA (2010) pp. 12281233.CrossRefGoogle Scholar
Zhou, X. and Majidi, C., “Flexing into motion: A locomotion mechanism for soft robots,” Int. J. Non-Lin. Mech. 74, 717 (2015).CrossRefGoogle Scholar
Shi, L., Guo, S., Li, M., Mao, S., Xiao, N., Gao, B., Song, Z., Asaka, K., “A novel soft biomimetic microrobot with two motion attitudes,” Sensors 12, 1673216758 (2012).CrossRefGoogle ScholarPubMed
Ilievski, F., Mazzeo, A. D., Shepherd, R. F., Chen, X. and Whitesides, G. M., “Titelbild: Soft robotics for chemists (Angew. Chem. 8/2011),” Angewandte Chemie 123, 17651765 (2011).CrossRefGoogle Scholar
Carpi, F., Bauer, S. and De Rossi, D., “Stretching dielectric elastomer performance,” Science 330, 17591761 (2010).CrossRefGoogle ScholarPubMed
Lin, H.-T., Leisk, G. G. and Trimmer, B., “GoQBot: A caterpillar-inspired soft-bodied rolling robot,” Bioinspir. Biomim. 6, 026007 (2011).CrossRefGoogle ScholarPubMed
Brown, E., Rodenberg, N., Amend, J., Mozeika, A., Steltz, E., Zakin, M. R., Lipson, H., Jaeger, H. M., “Universal robotic gripper based on the jamming of granular material,” Proc. Natl. Acad. Sci. 107, 1880918814 (2010).CrossRefGoogle Scholar
Correll, N., Önal, Ç. D., Liang, H., Schoenfeld, E. and Rus, D., “Soft autonomous materials—using active elasticity and embedded distributed computation,” Exp. Robot. 227240 (2014).CrossRefGoogle Scholar
Amend, J. R., Brown, E., Rodenberg, N., Jaeger, H. M. and Lipson, H., “A positive pressure universal gripper based on the jamming of granular material,” IEEE Trans. Robot. 28, 341350 (2012).CrossRefGoogle Scholar
Loeve, A. J., van de Ven, O. S., Vogel, J. G., Breedveld, P. and Dankelman, J., “Vacuum packed particles as flexible endoscope guides with controllable rigidity,” Granul. Matter. 12, 543554 (2010).CrossRefGoogle Scholar
Steltz, E., Mozeika, A., Rodenberg, N., Brown, E. and Jaeger, H. M., “Jsel: Jamming Skin Enabled Locomotion,” 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (2009) 56725677.CrossRefGoogle Scholar
Mitsuda, T., Kuge, S., Wakabayashi, M. and Kawamura, S., “Wearable Haptic Display by the Use of a Particle Mechanical Constraint,” Proceedings 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. HAPTICS 2002 (2002) pp. 153158.CrossRefGoogle Scholar
Cheng, N. G., Lobovsky, M. B., Keating, S. J., Setapen, A. M., Gero, K. I., Hosoi, A. E., Iagnemma, K. D., “Design and Analysis of a Robust, Low-cost, Highly Articulated Manipulator Enabled by Jamming of Granular Media,” IEEE International Conference on Robotics and Automation (ICRA, 2012) (2012) pp. 43284333.CrossRefGoogle Scholar
Denavit, J., “A kinematic notation for lower-pair mechanisms based on matrices,” J. Appl. Mech. Trans. ASME 22, 215221 (1955).Google Scholar
Chirikjian, G. S. and Burdick, J. W., “Kinematically optimal hyper-redundant manipulator configurations,” IEEE Ttrans. Robot Autom. 11, 794806 (1995).CrossRefGoogle Scholar
Jones, B. A. and Walker, I. D., “Kinematics for multisection continuum robots,” IEEE Trans. Robot. 22, 4355 (2006).CrossRefGoogle Scholar
Trivedi, D., Lotfi, A. and Rahn, C. D., “Geometrically exact models for soft robotic manipulators,” IEEE Trans. Robot. 24, 773780 (2008).CrossRefGoogle Scholar
Kim, J. S. and Chirikjian, G. S., “Conformational analysis of stiff chiral polymers with end-constraints,” Mol. Simulat. 32, 11391154 (2006).CrossRefGoogle ScholarPubMed
Mahl, T., Hildebrandt, A. and Sawodny, O., “A variable curvature continuum kinematics for kinematic control of the bionic handling assistant,” IEEE Trans. Robot. 30, 935949 (2014).CrossRefGoogle Scholar
Park, F. and Kim, J. W., “Manipulability of closed kinematic chains,” J. Mech. Des. 120, 542548 (1998).CrossRefGoogle Scholar
Yoshikawa, T., “Manipulability of robotic mechanisms,” Int. J. Rob. Res. 4, 39 (1985).CrossRefGoogle Scholar
Angeles, J. and López-Cajún, C. S., “Kinematic isotropy and the conditioning index of serial robotic manipulators,” Int. J. Rob. Res. 11, 560571 (1992).CrossRefGoogle Scholar
Xu, K., Zhao, J. and Zheng, X., “Configuration comparison among kinematically optimized continuum manipulators for robotic surgeries through a single access port,” Robotica 33, 20252044 (2015).CrossRefGoogle Scholar
Gravagne, I. A. and Walker, I. D., “Manipulability, force, and compliance analysis for planar continuum manipulators,” IEEE Trans. Rob. Autom. 18, 263273 (2002).CrossRefGoogle ScholarPubMed