Modeling and simulation of complex dynamic musculoskeletal architectures

Abstract

Natural creatures, from fish and cephalopods to snakes and birds, combine neural control, sensory feedback and compliant mechanics to effectively operate across dynamic, uncertain environments. In order to facilitate the understanding of the biophysical mechanisms at play and to streamline their potential use in engineering applications, we present here a versatile numerical approach to the simulation of musculoskeletal architectures. It relies on the assembly of heterogenous, active and passive Cosserat rods into dynamic structures that model bones, tendons, ligaments, fibers and muscle connectivity. We demonstrate its utility in a range of problems involving biological and soft robotic scenarios across scales and environments: from the engineering of millimeter-long bio-hybrid robots to the synthesis and reconstruction of complex musculoskeletal systems. The versatility of this methodology offers a framework to aid forward and inverse bioengineering designs as well as fundamental discovery in the functioning of living organisms.

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 23, 2019
Source ID
10.1038/s41467-019-12759-5

Entities

People

  • Fan Kiat Chan
  • Mattia Gazzola
  • Tejaswin Parthasarathy
  • Xiaotian Zhang

Organizations

  • National Science Foundation
  • Office of Naval Research

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Nanocomposite Materials Science
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • Autonomy
  • Autonomy - Autonomous System Control
  • Biotechnology