Literature DB >> 33501020

Inspiration From Games and Entertainment Artifacts: A Rising Paradigm for Designing Mechanisms and Algorithms in Robotics.

Ning Tan1,2, Nishaan Brahmananthan3, Rajesh Elara Mohan3, Veerajagadheswar Prabakaran3.   

Abstract

Games and toys have been serving as entertainment tools to humans for a long period of time. While except for entertainment, they can also trigger inspiration and enhance productivity in many other domains such as healthcare and general workplaces. The concept of the game is referred to a series of structured procedures (e.g., card games) and virtual programs. The entertainment artifacts could be a toy or even a handicraft, such as origami and kirigami, for entertainment purposes in a broader sense. Recently, the design of robots and relevant applications in robotics has been emerging in taking inspiration from Games and Entertainment Artifacts (GEA). However, there is a lack of systematic and general process for implementing a GEA-inspired design for developing robot-related applications. In this article, we put forward a design paradigm based on the inspiration of game and entertainment artifacts which is a systematic design approach. The design paradigm could follow two different processes which are driven by problems and solutions, respectively, using analogies of games and entertainment artifacts to build robotic solutions for solving real problems. The problem-driven process starts with an existing real-world problem, which follows the sequences of robotics problem search, robotics problem identification, GEA solution search, GEA solution identification, GEA principle extraction, and the principle implementation. Reversely, the solution-driven process follows the sequence of GEA solution search, GEA solution identification, GEA principle extraction, robotics problem search, robotics problem identification, and principle implementation. We demonstrate the application of the design paradigm using the case study of a new type of reconfigurable floor cleaning robot and its path planning algorithm.
Copyright © 2019 Tan, Brahmananthan, Mohan and Prabakaran.

Entities:  

Keywords:  design paradigm; mobile robots; path planning; reconfigurable robotics; robotic mechanisms

Year:  2019        PMID: 33501020      PMCID: PMC7805903          DOI: 10.3389/frobt.2019.00003

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  7 in total

1.  Programmable matter by folding.

Authors:  E Hawkes; B An; N M Benbernou; H Tanaka; S Kim; E D Demaine; D Rus; R J Wood
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-28       Impact factor: 11.205

Review 2.  Biomimetics: lessons from nature--an overview.

Authors:  Bharat Bhushan
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-04-28       Impact factor: 4.226

3.  On extracting design principles from biology: I. Method-General answers to high-level design questions for bioinspired robots.

Authors:  M Haberland; S Kim
Journal:  Bioinspir Biomim       Date:  2015-02-02       Impact factor: 2.956

Review 4.  A survey of bio-inspired compliant legged robot designs.

Authors:  Xiaodong Zhou; Shusheng Bi
Journal:  Bioinspir Biomim       Date:  2012-11-14       Impact factor: 2.956

Review 5.  Soft robotics: a bioinspired evolution in robotics.

Authors:  Sangbae Kim; Cecilia Laschi; Barry Trimmer
Journal:  Trends Biotechnol       Date:  2013-04-12       Impact factor: 19.536

6.  Applied origami. A method for building self-folding machines.

Authors:  S Felton; M Tolley; E Demaine; D Rus; R Wood
Journal:  Science       Date:  2014-08-08       Impact factor: 47.728

7.  Kirigami skins make a simple soft actuator crawl.

Authors:  Ahmad Rafsanjani; Yuerou Zhang; Bangyuan Liu; Shmuel M Rubinstein; Katia Bertoldi
Journal:  Sci Robot       Date:  2018-02-21
  7 in total

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