Robust Spatial Navigation in a Robot Inspired by Chemotaxis in Caenorhabditis elegans

We report on the design and implementation of an autonomous robot that performs phototaxis under the control of a simulated neural network. The mechanical configuration of the robot and its neural network controller are patterned after those believed to produce chemotaxis in the nematode Caenorhabditis elegans. The network is first optimized to produce phototaxis in a simulated, nematode-like robot and then is tested on a real robot. We find that both the simulated and real robot perform reliably, making nearly identical trajectories for similar environments and similar starting conditions. Furthermore, their performance is robust to significant perturbations of the robot's locomotion parameters. Finally, we discuss the implicit computational rule that this network uses to control phototaxis. This makes the results intuitive and improves our intuition about control of tactic behavior in two dimensions.

[1]  R. Worst,et al.  Construction and operation of a snake-like robot , 1996, Proceedings IEEE International Joint Symposia on Intelligence and Systems.

[2]  K. Schmidt-Koenig,et al.  Homing in pigeons with impaired vision. , 1972, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Re Davis,et al.  Signaling properties of Ascaris motorneurons: graded active responses, graded synaptic transmission, and tonic transmitter release , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[4]  S. Brenner,et al.  The structure of the nervous system of the nematode Caenorhabditis elegans. , 1986, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[5]  Cori Bargmann,et al.  Chemosensory neurons with overlapping functions direct chemotaxis to multiple chemicals in C. elegans , 1991, Neuron.

[6]  Cori Bargmann,et al.  A Putative Cyclic Nucleotide–Gated Channel Is Required for Sensory Development and Function in C. elegans , 1996, Neuron.

[7]  J. Culotti,et al.  Osmotic avoidance defective mutants of the nematode Caenorhabditis elegans. , 1978, Genetics.

[8]  Timothy Masters,et al.  Advanced algorithms for neural networks: a C++ sourcebook , 1995 .

[9]  広瀬 茂男,et al.  Biologically inspired robots : snake-like locomotors and manipulators , 1993 .

[10]  Cori Bargmann.  Genetic and cellular analysis of behavior in C. elegans. , 1993, Annual review of neuroscience.

[11]  William Bialek,et al.  Spikes: Exploring the Neural Code , 1996 .

[12]  L. R. Taylor,et al.  Spatial Orientation: The Spatial Control of Behaviour in Animals and Man , 1985 .

[13]  D. Brown,et al.  Chemotaxis in Escherichia coli analyzed by three-dimensional tracking. , 1974, Antibiotics and chemotherapy.

[14]  S. Lockery,et al.  Active Currents Regulate Sensitivity and Dynamic Range in C. elegans Neurons , 1998, Neuron.

[15]  H. Spencer.  The structure of the nervous system. , 1870 .

[16]  H. Berg,et al.  Chemotaxis in Escherichia coli analysed by Three-dimensional Tracking , 1972, Nature.

[17]  S. Ward.  Chemotaxis by the nematode Caenorhabditis elegans: identification of attractants and analysis of the response by use of mutants. , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Cori Bargmann,et al.  Odorant-selective genes and neurons mediate olfaction in C. elegans , 1993, Cell.

[19]  J. L. Gould.  The Locale Map of Honey Bees: Do Insects Have Cognitive Maps? , 1986, Science.

[20]  W. J. Bell.  Searching Behaviour: The Behavioural Ecology of Finding Resources , 1991 .

[21]  Shawn R. Lockery,et al.  Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans , 1996, NIPS.