Abstract
The high complexity of the mechanical system and the difficult task of walking itself makes the task of designing the control for legged robots a diffcult one. Even if the implementation of parts of the desired functionality, like posture control or basic swing/stance movement, can be solved by the usage of classical engeneering approaches, the control of the overall system tends to be very unflexible. This paper introduces a new method to combine apects of classical robot control and behaviour based control. Inspired by the activation patterns in the brain and the spinal cord of animals we propose a behaviour network architecture using special signals like activity or target rating to influencce and coordinate the behaviours. The general concept of a single behaviour as well as their interaction within the network is described. This architecture is tested on the four-legged walking machine BISAM and experimental results are presented.
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Albiez, J., Luksch, T., Berns, K., Dillmann, R. (2006). A Behaviour Network Concept for Controlling Walking Machines. In: Kimura, H., Tsuchiya, K., Ishiguro, A., Witte, H. (eds) Adaptive Motion of Animals and Machines. Springer, Tokyo. https://doi.org/10.1007/4-431-31381-8_21
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DOI: https://doi.org/10.1007/4-431-31381-8_21
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