A framework for taxonomy and evaluation of self-reconfigurable robotic systems

Ning Tan, Abdullah Aamir Hayat, Mohan Rajesh Elara, Kristin L. Wood

Research output: Contribution to journalArticlepeer-review

75 Citations (Scopus)

Abstract

Self-reconfigurable robots have been proposed for a quite long period and in large numbers. However, there are very few systematic methodologies proposed to categorize and evaluate such kinds of robots. In this paper, we put forward a framework for taxonomy and evaluation (TAEV) of self-reconfigurable robots, based on the mechanism reconfigurability and the level of autonomy for reconfiguration. The mechanism reconfigurability of the robots is divided into two types: inter-reconfigurability and intra-reconfigurability which are quantified by the number of configurations and scale respectively. A combination of both the intra- and inter-reconfigurability feature is named as nested-reconfiguration. The levels of autonomy reconfigurability are ranging through different levels from manual teleoperation to fully autonomous systems. The evaluation metrics are introduced to quantify the level of autonomy and the sufficiency of self-reconfigurable robots. Detailed discussions on applications of the proposed framework are presented with real-robot examples.

Original languageEnglish
Article number8954702
Pages (from-to)13969-13986
Number of pages18
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • autonomous systems
  • Autonomy
  • human-robot interaction
  • reconfigurability
  • reconfigurable robotics

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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