A Unified Framework for Simulating Strongly-Coupled Fluid-Robot Multiphysics
Jeong Hun Lee, Junzhe Hu, Sofia Kwok, Carmel Majidi, and Zachary Manchester

TL;DR
This paper introduces a unified simulation framework for fluid-robot interactions that combines fluid and robot dynamics into a single optimization problem, enabling accurate and stable simulations validated on real-world robotic tasks.
Contribution
The paper develops a novel, stable implicit time-integration scheme for coupled fluid-robot systems based on variational mechanics, extending the immersed boundary method for multibody robotics.
Findings
Accurately simulates benchmark fluid dynamics problems.
Successfully designs and validates a swimming robot policy in simulation and real-world.
Demonstrates improved numerical stability and physical accuracy in coupled simulations.
Abstract
We present a framework for simulating fluid-robot multiphysics as a single, unified optimization problem. The coupled manipulator and incompressible Navier-Stokes equations governing the robot and fluid dynamics are derived together from a single Lagrangian using the principal of least action. We then employ discrete variational mechanics to derive a stable, implicit time-integration scheme for jointly simulating both the fluid and robot dynamics, which are tightly coupled by a constraint that enforces the no-slip boundary condition at the fluid-robot interface. Extending the classical immersed boundary method, we derive a new formulation of the no-slip constraint that is numerically well-conditioned and physically accurate for multibody systems commonly found in robotics. We demonstrate our approach's physical accuracy on benchmark computational fluid-dynamics problems, including…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Biomimetic flight and propulsion mechanisms · Micro and Nano Robotics
