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Area of Science:

  • Robotics
  • Mechanical Engineering
  • Biomechanics

Background:

  • Bio-inspired locomotion is crucial for advancing robot capabilities.
  • Existing models for robot locomotion dynamics can be complex and computationally intensive.
  • A unified approach is needed to model diverse locomotion systems.

Purpose of the Study:

  • To present generic tools for multibody system dynamics tailored for bio-inspired robot locomotion.
  • To develop a unified geometric framework for understanding locomotion dynamics.
  • To propose efficient computational methods for these dynamic models.

Main Methods:

  • Modeling discrete, continuous, and soft mobile multibody systems (MMSs).
  • Developing a unified geometric perspective on locomotion dynamics.
  • Implementing a Newton-Euler-based approach for efficient computation.

Main Results:

  • A generalized framework for multibody system dynamics applicable to bio-inspired locomotion.
  • Efficient computational techniques for analyzing complex locomotion models.
  • Demonstration of the methods through simulations of creeping, swimming, and flying robots.

Conclusions:

  • The proposed tools provide a unified and computationally efficient approach to studying bio-inspired locomotion.
  • The geometric framework offers new insights into the dynamics of mobile multibody systems.
  • This work facilitates the design and analysis of advanced legged, swimming, and flying robots.