Abstract
We propose a biomimetic approach for steering motion control of a snake robot. Inspired by a vertebrate biological motor system paradigm, a hierarchical control scheme is adopted. In the control scheme, an artificial central pattern generator (CPG) is employed to generate serpentine locomotion in the robot. This generator outputs the coordinated desired joint angle commands to each lower-level effector controller, while the locomotion can be controlled through CPG modulation by a higher-level motion controller. The motion controller consists of a cerebellar model articulation controller (CMAC) and a proportional-derivative (PD) controller. Because of the fast learning ability of the CMAC, the proposed motion controller can drive the robot to track the desired orientation and adapt to unexpected perturbations. The PD controller is employed to expedite the convergence speed of the motion controller. Finally, both numerical studies and experiments proved that the proposed approach can help the snake robot achieve good tracking performance and adaptability in a varying environment.
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References
Albus JS, 1975. A new approach to manipulator control: the cerebellar model articulation controller (CMAC). J Dynam Syst Meas Contr, 97(3):220–227. https://doi.org/10.1115/1.3426922
Crespi A, Ijspeert AJ, 2008. Online optimization of swimming and crawling in an amphibious snake robot. IEEE Trans Robot, 24(1):75–87. https://doi.org/10.1109/TRO.2008.915426
Date H, Hoshi Y, Sampei M, 2000. Locomotion control of a snake-like robot based on dynamic manipulability. Proc IEEE/RSJ Int Conf on Intelligent Robots and Systems, p.2236–2241. https://doi.org/10.1109/IROS.2000.895301
Gray J, 1946. The mechanism of locomotion in snakes. J Exp Biol, 23(2):101–120.
Guo X, Ma SG, Li B, et al., 2018. A novel serpentine gait generation method for snake-like robots based on geometry mechanics. IEEE/ASME Trans Mech, 23(3):1249. https://doi.org/10.1109/TMECH.2018.2809786
Hirose S, 1993. Biologically Inspired Robots: Snake-Like Locomotors and Manipulators. Oxford University Press, Oxford.
Hooper SL, 2000. Central pattern generators. Curr Biol, 10(5):R176–R179.
Inoue K, Ma SG, Jin CH, 2004. Neural oscillator networkbased controller for meandering locomotion of snakelike robots. Proc IEEE Int Conf on Robotics and Automation, p.5064–5069. https://doi.org/10.1109/ROBOT.2004.1302520
Ito M, 2000. Mechanisms of motor learning in the cerebellum. Brain Res, 886(1-2):237–245.
Liljeback P, Haugstuen IU, Pettersen KY, 2012. Path following control of planar snake robots using a cascaded approach. IEEE Trans Contr Syst Technol, 20(1):111–126. https://doi.org/10.1109/TCST.2011.2107516
Marder E, Bucher D, 2001. Central pattern generators and the control of rhythmic movements. Curr Biol, 11(23):R986–R996. https://doi.org/10.1016/S0960-9822(01)00581-4
Mattia F, Paolo A, Luigi F, 2004. Bio-inspired Emergent Control of Locomotion Systems. World Scientific Publishing, Singapore.
Mukherjee J, Mukherjee S, Kar IN, 2017. Sliding mode control of planar snake robot with uncertainty using virtual holonomic constraints. IEEE Robot Autom Lett, 2(2):1077–1084. https://doi.org/10.1109/LRA.2017.2657892
Ohno H, Hirose S, 2001. Design of slim slime robot and its gait of locomotion. Proc IEEE/RSJ Int Conf on Intelligent Robots and Systems, p.707–715. https://doi.org/10.1109/IROS.2001.976252
Poggio T, Girosi F, 1990. Networks for approximation and learning. Proc IEEE, 78(9):1481–1497. https://doi.org/10.1109/5.58326
Ryu JK, Chong NY, You BJ, et al., 2010. Locomotion of snake-like robots using adaptive neural oscillators. Intell Ser Robot, 3(1):1. https://doi.org/10.1007/s11370-009-0049-4
Tanaka M, Matsuno F, 2014. Modeling and control of head raising snake robots by using kinematic redundancy. J Intell Robot Syst, 75(1):53–69. https://doi.org/10.1007/s10846-013-9866-y
Wu XD, Ma SG, 2010. CPG-based control of serpentine locomotion of a snake-like robot. Mechatronics, 20(2):326–334. https://doi.org/10.1016/j.mechatronics.2010.01.006
Yu JZ, Tan M, Chen J, et al., 2014. A survey on CPGinspired control models and system implementation. IEEE Trans Neur Networks Learn Syst, 25(3):441–456. https://doi.org/10.1109/TNNLS.2013.2280596
Zhang AF, Ma SG, Li B, et al., 2016. Adaptive controller design for underwater snake robot with unmatched uncertainties. Sci China Inform Sci, 59(5):052205. https://doi.org/10.1007/s11432-015-5421-8
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Project supported by the Zhejiang Provincial Natural Science Foundation of China (No. LQ16F030002)
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Ouyang, W., Liang, W., Li, C. et al. Steering motion control of a snake robot via a biomimetic approach. Frontiers Inf Technol Electronic Eng 20, 32–44 (2019). https://doi.org/10.1631/FITEE.1800554
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DOI: https://doi.org/10.1631/FITEE.1800554