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A Maple Toolchain for Rigid Body Dynamics of Serial, Hybrid and Parallel Robots

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Abstract

A new Maple toolchain for generating rigid body dynamics in symbolic form for robot manipulators is presented. The peculiarity compared to existing tools lies in the framework of Bash scripts controlling the full workflow of the toolchain with a high degree of automation. The optimized Matlab code generated by Maple is automatically converted to function files with proper documentation and input assertions. This renders manual post-processing of the results unnecessarily. The focus of the paper is on the implemented unit-testing framework according to the method of test-driven development. By providing the test framework together with the generated code in a stand-alone version, a good test coverage and a good software quality can be achieved. The results of the open source project provide a basis for dynamics simulations for robot dimensional synthesis or in model-based control of robot manipulators in research or in industrial context. The general software approach can be applied to other fields where theoretical models are derived with Maple.

Original languageEnglish
Title of host publicationMaple in Mathematics Education and Research - 4th Maple Conference, MC 2020, Revised Selected Papers
Subtitle of host publicationMaple in Mathematics Education and Research
EditorsRobert M. Corless, Jürgen Gerhard, Ilias S. Kotsireas
Place of PublicationCham
PublisherSpringer, Cham
Pages350-364
Number of pages15
ISBN (Electronic)978-3-030-81698-8
ISBN (Print)978-3-030-81697-1
DOIs
Publication statusPublished - 2021

Publication series

NameCommunications in Computer and Information Science
Volume1414
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Keywords

  • Maple computer algebra system
  • Rigid body dynamics
  • Robotics
  • Symbolic code
  • Test-driven development
  • Toolchain

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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