Abstract
This paper reports one engineering application of moving characteristics of slime mold (multi-cellar) amoeba for autonomous obstacle avoidance through flexible deformation. The remarkable characteristic of slime mold is that transforms from unicellular period to multi-cellular period according to the state of environment. Such characteristics become one idea for the difficulty of distributed autonomous robot’s system, such as environmental recognition, cooperative behaviors, and self-organized system control. This paper proposes Amoeba Model, and applies to obstacle avoidance as an example of spatial searching environment. The proposed model consists of new field technique named as the Vibrating Potential Field and new parameter tuning method inspired from thermo-dynamics. The computational application for creep through narrow path shows advantages of the model and derives powerful characteristics for walking behavior on rough road through cooperation of unit group.
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© 1996 Springer Japan
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Yokoi, H., Mizuno, T., Takita, M., Kakazu, Y. (1996). Amoeba Like Grouping Behavior for Autonomous Robots Using Vibrating Potential Field (Obstacle Avoidance on Uneven Road). In: Asama, H., Fukuda, T., Arai, T., Endo, I. (eds) Distributed Autonomous Robotic Systems 2. Springer, Tokyo. https://doi.org/10.1007/978-4-431-66942-5_19
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DOI: https://doi.org/10.1007/978-4-431-66942-5_19
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-66944-9
Online ISBN: 978-4-431-66942-5
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