From Fold to Function: Dynamic Modeling and Simulation-Driven Design of Origami Mechanisms

2025-11-13

AI Summary

Modeling the dynamic behavior of origami mechanisms and simulating their environmental interactions remain challenging due to trade-offs between accuracy and computational efficiency. This paper proposes an end-to-end simulation and design framework grounded in MuJoCo’s deformable-body dynamics. First, a graph-structured representation explicitly encodes crease geometry, material stiffness, and actuation constraints. Second, an integrated graphical user interface enables intuitive modeling of crease topology and actuation schemes. Third, the framework couples the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for automated parameter optimization targeting functional objectives—e.g., projectile range. The framework supports high-fidelity closed-loop design: applied to an origami catapult, it completes the full pipeline—from simulation and optimization to physical prototyping—and achieves a 37% improvement in throwing distance, demonstrating its efficacy for rapid iterative and function-driven design.

Technology Category

• Search and Optimization: Sampling/Simulation-based Search
• Intelligent Robots: Motion and Path Planning
• Planning, Routing, and Scheduling: Replanning and Plan Repair

Application Category

• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

Origami-inspired mechanisms can transform flat sheets into functional three-dimensional dynamic structures that are lightweight, compact, and capable of complex motion. These properties make origami increasingly valuable in robotic and deployable systems. However, accurately simulating their folding behavior and interactions with the environment remains challenging. To address this, we present a design framework for origami mechanism simulation that utilizes MuJoCo's deformable-body capabilities. In our approach, origami sheets are represented as graphs of interconnected deformable elements with user-specified constraints such as creases and actuation, defined through an intuitive graphical user interface (GUI). This framework allows users to generate physically consistent simulations that capture both the geometric structure of origami mechanisms and their interactions with external objects and surfaces. We demonstrate our method's utility through a case study on an origami catapult, where design parameters are optimized in simulation using the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) and validated experimentally on physical prototypes. The optimized structure achieves improved throwing performance, illustrating how our system enables rapid, simulation-driven origami design, optimization, and analysis.

Problem

• Simulating folding behavior of origami mechanisms accurately
• Capturing interactions between origami structures and environment
• Enabling rapid design optimization for functional origami systems

Innovation

• Uses MuJoCo for origami simulation with deformable bodies
• Graph-based modeling with crease and actuation constraints
• Optimizes designs via CMA-ES and validates experimentally