Self-management technique for adaptive robot software based on task environment similarity

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we propose a novel method by which the robot can choose the most suitable software module for the given task based on the evaluation of task environment, and the resulting relationship between the environmental information and robot software module is managed by the robot itself. In addition, the performance of the robot can be improved through the update process of the E-S(Environment-S/W module) relationship information when the new environmental information or new robot software modules are given. The effectiveness of the proposed self-management technique is shown by the experiments with 70 random maps, which shows the improvement of performance as the task continues to proceed.

Original languageEnglish
Pages (from-to)538-543
Number of pages6
JournalProcedia Computer Science
Volume56
Issue number1
DOIs
StatePublished - 2015
Event29th European Conference on Solid-State Transducers, EUROSENSORS 2015; Freiburg; Germany; 6 September 2015 through 9 September 2015. - Freiburg, Germany
Duration: 6 Sep 20159 Sep 2015

Keywords

  • Adaptive robot software framework
  • Environment-S/W module relationship information
  • Self-update of software modules
  • Similarity of task environments

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