Exp[licit] An Educational Robot Modeling Software based on Exponential Maps

Johannes Lachner*, Moses C. Nah, Stefano Stramigioli, Neville Hogan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Deriving a robot's equations of motion typically requires placing multiple coordinate frames, commonly using the Denavit-Hartenberg convention to express the kinematic and dynamic relationships between segments. This paper presents an alternative using the differential geometric method of Exponential Maps, which reduces the number of coordinate frame choices to two. The traditional and differential geometric methods are compared, and the conceptual and practical differences are detailed. The open-source software, Exp[licit]™, based on the differential geometric method, is introduced. It is intended for use by researchers and engineers with basic knowledge of geometry and robotics and aims to serve as a supportive resource during the study of differential geometric approaches. Code snippets and an example application are provided to demonstrate the benefits of the differential geometric method and assist users to get started with the software.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2024
PublisherIEEE
Pages1359-1366
Number of pages8
ISBN (Electronic)9798350355369
DOIs
Publication statusPublished - 22 Aug 2024
EventIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2024 - Boston, United States
Duration: 9 Jul 202412 Jul 2024

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
ISSN (Print)2159-6247
ISSN (Electronic)2159-6255

Conference

ConferenceIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2024
Abbreviated titleAIM 2024
Country/TerritoryUnited States
CityBoston
Period9/07/2412/07/24

Keywords

  • 2024 OA procedure

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