Biological Flapping and Legged Machine : Insect-Machine Hybrid System

we present the remote control of insects in free flight via an implantable radio-equipped miniature neural stimulating system. This paper summarizes these results. The pronotum mounted system consisted of neural stimulators, muscular stimulators, a radio transceiver-equipped microcontroller and a microbattery. Flight initiation, cessation and elevation control were accomplished through neural stimulus of the brain which elicited, suppressed or modulated wing oscillation. Turns were triggered through the direct muscular stimulus of either of the basalar muscles. We characterized the response times, success rates, and free-flight trajectories elicited by our neural control systems in remotely-controlled beetles. We believe this type of technology will open the door to in-flight perturbation and recording of insect flight responses. Keywords— micro air vehicle, biological machine, neuromuscular stimulation, flight control

[1]  J. Pringle,et al.  The physiology of insect fibrillar muscle - I. Anatomy and innervation of the basalar muscle of lamellicorn beetles , 1959, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[2]  W. Danthanarayana,et al.  Insect Flight , 1986, Proceedings in Life Sciences.

[3]  J. Hildebrand,et al.  Organization of the antennal motor system in the sphinx moth Manduca sexta , 1997, Cell and Tissue Research.

[4]  Wei Shyy,et al.  Flapping and flexible wings for biological and micro air vehicles , 1999 .

[5]  R. Josephson,et al.  Asynchronous muscle: a primer. , 2000, The Journal of experimental biology.

[6]  R. Josephson,et al.  Power output by an asynchronous flight muscle from a beetle. , 2000, The Journal of experimental biology.

[7]  G K Taylor,et al.  Mechanics and aerodynamics of insect flight control , 2001, Biological reviews of the Cambridge Philosophical Society.

[8]  R Kanzaki,et al.  A dual-channel FM transmitter for acquisition of flight muscle activities from the freely flying hawkmoth, Agrius convolvuli , 2002, Journal of Neuroscience Methods.

[9]  S. Shankar Sastry,et al.  Attitude control for a micromechanical flying insect via sensor output feedback , 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

[10]  Sanjay P Sane,et al.  The aerodynamics of insect flight , 2003, Journal of Experimental Biology.

[11]  Robert J. Wood,et al.  Biomimetic sensor suite for flight control of a micromechanical flying insect: design and experimental results , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[12]  W. Kirchner,et al.  Honeybees can be recruited by a mechanical model of a dancing bee , 1989, Naturwissenschaften.

[13]  M. S. Tu,et al.  The control of wing kinematics by two steering muscles of the blowfly (Calliphora vicina) , 1996, Journal of Comparative Physiology A.

[14]  Kevin Knowles,et al.  Aerodynamic modelling of insect-like flapping flight for micro air vehicles , 2006 .

[15]  D. Pines,et al.  Challenges Facing Future Micro-Air-Vehicle Development , 2006 .

[16]  S. Sane,et al.  Antennal Mechanosensors Mediate Flight Control in Moths , 2007, Science.

[17]  Michael B. Reiser,et al.  The role of visual and mechanosensory cues in structuring forward flight in Drosophila melanogaster , 2007, Journal of Experimental Biology.

[18]  Robert J. Wood,et al.  The First Takeoff of a Biologically Inspired At-Scale Robotic Insect , 2008, IEEE Transactions on Robotics.