Title
Design and Selection of Muscle Excitation Patterns for Modeling a Lower Extremity Joint Inspired Tensegrity
Abstract
We propose a tensegrity-inspired design that emulates human lower extremity musculoskeletal connections as a network of rigid and tensile elements. Anatomical combinations of bones and muscles within joints provide structural stability, and manipulate configurations to maintain a standing position or enter a squat-like descent. We validated the predictions of our mathematical model with a computer simulation and a physical prototype. Bio-inspired joints controlled by muscle excitation patterns offers possibilities to revolutionize the innate flexibility within artificial limbs and future assistive devices.
Year
DOI
Venue
2019
10.1109/IRC.2019.00053
2019 Third IEEE International Conference on Robotic Computing (IRC)
Keywords
Field
DocType
Muscles,Joints,Mathematical model,Prototypes,Robots,Knee
Lower extremity joint,Computer science,Tensegrity,Excitation,Robot,Structural engineering
Conference
ISBN
Citations 
PageRank 
978-1-5386-9245-5
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Erik Jung101.01
Victoria Ly200.34
Adam Buderi300.34
Emma Appleton400.34
Mircea Teodorescu576.63