An improved multimodal robotic fish modelled after Esox lucíus

This paper focuses on a further exploration of multimodal locomotion governed by bio-inspired central pattern generators (CPGs). To pursue a better swimming performance, an updated robotic fish is constructed. Besides the improved hardware devices involving higher torque servomotors and powerful processors, some innovative mechanical designs are taken into consideration. Specifically, a well-streamlined shape like Esox lucius and a yawing head joint contribute to reduce hydrodynamic drag and strengthen turning ability. A pair of flexible pectoral fins with four degrees of freedom is to enhance the capability of three-dimensional locomotion and to enrich multiple swimming motions. Further discussion on how characteristic parameters in CPGs including frequency, amplitude, and phase relationship impact the swimming performance is also presented. Finally, the robotic fish successfully gains more powerful capability of multimodal locomotion containing forward swimming, backward swimming, turning, diving, and ascending. The experimental results validate the effectiveness of mechanism design and adaptability of multimodal locomotion governed by CPGs.

[1]  Auke Jan Ijspeert,et al.  Salamandra Robotica II: An Amphibious Robot to Study Salamander-Like Swimming and Walking Gaits , 2013, IEEE Transactions on Robotics.

[2]  Brenden P. Epps,et al.  Swimming performance of a biomimetic compliant fish-like robot , 2009 .

[3]  Huosheng Hu,et al.  Biological inspiration: From carangiform fish to multi-joint robotic fish , 2010 .

[4]  A. Selverston,et al.  Invertebrate central pattern generator circuits , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[5]  Li Wen,et al.  Novel Method for the Modeling and Control Investigation of Efficient Swimming for Robotic Fish , 2012, IEEE Transactions on Industrial Electronics.

[6]  Tianmiao Wang,et al.  Learning to swim : a dynamical systems approach to mimicking sh swimming with CPG , 2013 .

[7]  D. McCrea,et al.  Organization of mammalian locomotor rhythm and pattern generation , 2008, Brain Research Reviews.

[8]  Jianwei Zhang,et al.  On a Bio-inspired Amphibious Robot Capable of Multimodal Motion , 2012, IEEE/ASME Transactions on Mechatronics.

[9]  A. Ijspeert,et al.  Dynamic hebbian learning in adaptive frequency oscillators , 2006 .

[10]  G. Ermentrout,et al.  Multiple rhythmic states in a model of the respiratory central pattern generator. , 2009, Journal of neurophysiology.

[11]  Haibo Dong,et al.  Locomotion with flexible propulsors: II. Computational modeling of pectoral fin swimming in sunfish , 2006, Bioinspiration & biomimetics.

[12]  Ming Wang,et al.  Dynamic modeling of a CPG-governed multijoint robotic fish , 2013, Adv. Robotics.

[13]  Chunlin Zhou,et al.  Design and Locomotion Control of a Biomimetic Underwater Vehicle With Fin Propulsion , 2012, IEEE/ASME Transactions on Mechatronics.

[14]  P. Guertin The mammalian central pattern generator for locomotion , 2009, Brain Research Reviews.

[15]  Gang Wang,et al.  CPGs control method using a new oscillator in robotic fish , 2010 .

[16]  Chunlin Zhou,et al.  Gait Planning for Steady Swimming Control of Biomimetic Fish Robots , 2009, Adv. Robotics.

[17]  Michael Sfakiotakis,et al.  Review of fish swimming modes for aquatic locomotion , 1999 .

[18]  George V. Lauder,et al.  A biologically derived pectoral fin for yaw turn manoeuvres , 2010 .

[19]  Junzhi Yu,et al.  Multimodal swimming control of a robotic fish with pectoral fins using a CPG network , 2012 .

[20]  Melina E. Hale,et al.  Strikes and startles of northern pike (Esox lucius): a comparison of muscle activity and kinematics between S-start behaviors , 2004, Journal of Experimental Biology.

[21]  Christopher J. Esposito,et al.  A robotic fish caudal fin: effects of stiffness and motor program on locomotor performance , 2012, Journal of Experimental Biology.

[22]  George V. Lauder,et al.  Swimming hydrodynamics: ten questions and the technical approaches needed to resolve them , 2011 .