Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Simulation Study on the Locomotion Algorithm of Variable Topology Truss Robot based on Motion Primitives

Authors
Moon, YecheolBae, JanghoYim, MarkSeo, TaeWon
Issue Date
Jul-2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2022 19th International Conference on Ubiquitous Robots, UR 2022, pp.219 - 224
Indexed
SCOPUS
Journal Title
2022 19th International Conference on Ubiquitous Robots, UR 2022
Start Page
219
End Page
224
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/171553
DOI
10.1109/UR55393.2022.9826275
Abstract
Variable Topology Truss (VTT) is a modular robotic system, which is an extended robot concept based on the Variable Geometry Truss (VGT). It is composed of modular members and nodes and can operate in a rough and cluttered environment. By changing the length of each member, the VTT robot can change size and shape. The VTT can also perform locomotion by rolling. Travel over a long distance can be accomplished by repeating the rolling motion, so a motion primitive is used. This reduces the computational work because the repetitive motion only needs to be calculated once. In this paper, an algorithm is presented to derive a motion primitive for an octahedral VTT. The algorithm consists of three phases: placing one node on the ground, moving the center of mass, and returning to the initial shape. On each time step, a set of possible robot motions is evaluated based on a cost function. The lowest cost motion is selected on each time step to form the optimized motion primitive. The resulting motion primitive is analyzed and validated.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 기계공학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Seo, Taewon photo

Seo, Taewon
COLLEGE OF ENGINEERING (SCHOOL OF MECHANICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE