Adaptive control of multiped robot

Alexander Demin, Evgeniy Vityaev

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


In the paper, a logical-probabilistic method of adaptive control of modular systems is presented. It base on the functional similarity of modules, the logical-probabilistic algorithm of directed search of rules and joint training of control modules. Starting with the search for common rules for all modules of the control system then it upload them with a more specific ones in accordance with the ideas of semantical-probabilistic inference. With the use of an interactive 3D-simulator, successful experiments were conducted with virtual multiped robot mode. Experimental studies have shown that the proposed approach is quite effective and can be used to manage modular systems with a large number of degrees of freedom.

Original languageEnglish
Pages (from-to)629-634
Number of pages6
JournalProcedia Computer Science
Publication statusPublished - 2018
Externally publishedYes
Event9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018 - Prague, Czech Republic
Duration: 22 Aug 201824 Aug 2018


  • control system
  • knowledge discovery
  • learning control system rules
  • modular robots

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