FlapSim: A Composable MuJoCo Simulation Platform and Reduced-Order Aerodynamic H
Overview
This paper introduces FlapSim, an open-source simulation framework designed for flapping-wing robotics that integrates robot descriptions, wing geometry, and composable aerodynamic models. The authors evaluate five reduced-order configurations against a high-fidelity blade-element reference across 48 scenarios involving frequency variations, wind gusts, and cross-robot regimes. Results show that a streamlined four-block model achieves 0.9662 mean wrench fidelity with a 67.98x CPU speedup, while ablation studies highlight the critical role of stroke harmonics during frequency transitions. The work characterizes the accuracy-computation tradeoff and identifies key factors such as timing synchronization, inflow modeling, geometry scaling, and harmonic representation for efficient reduced-order simulation.
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Environment: simulation
“arXiv:2610.40902v1 Announce Type: new Abstract: Flapping-wing simulation must reconcile high-frequency wingbeat aerodynamics with the slower dynamics relevant to flight control and reinforcement learning. We present FlapSim, a modular open-source MuJoCo simulation platform that combines robot descriptions, wing geometry, and composable aerodynamic models in a deterministic simulation pipeline. Across $48$ held-out sc”
Exact source · revision 1Source owner not reported
Reported quantity · CPU speedup: 67.51 other · Basis not reported · Differing source assertions
“enarios spanning frequency, gimbal, wind, frequency-step, gust, and cross-robot flat-plate regimes, we compare five reduced-order configurations operating at $1\,\text{ms}$ with a $50\,\mu\text{s}$ quasi-steady blade-element reference. The built-in hover cycle-averaged baseline achieves a $67.51\times$ CPU speedup but only $0.6593$ mean wrench fidelity. Combining multirate $21$-substep clock synchronization, three-di”
Exact source · revision 1Source owner not reported
Reported quantity · CPU speedup: 65.19 other · Basis not reported · Differing source assertions
“mensional linear/quadratic inflow and gust coupling, analytical blade-element geometry scaling, and phase-locked $1f\text{--}6f$ harmonics raises mean fidelity to $0.9646$ at a $65.19\times$ speedup in a five-block model. A streamlined four-block model without explicit step-transient lag states achieves $0.9662$ fidelity at a $67.98\times$ speedup. Controlled ablations show that stroke harmonics are particularly impo”
Exact source · revision 1Source owner not reported
Reported quantity · CPU speedup: 67.98 other · Basis not reported · Differing source assertions
“mensional linear/quadratic inflow and gust coupling, analytical blade-element geometry scaling, and phase-locked $1f\text{--}6f$ harmonics raises mean fidelity to $0.9646$ at a $65.19\times$ speedup in a five-block model. A streamlined four-block model without explicit step-transient lag states achieves $0.9662$ fidelity at a $67.98\times$ speedup. Controlled ablations show that stroke harmonics are particularly impo”
Exact source · revision 1Source owner not reported
Reported quantity · mean wrench fidelity: 0.6593 other · Basis not reported · Differing source assertions
“enarios spanning frequency, gimbal, wind, frequency-step, gust, and cross-robot flat-plate regimes, we compare five reduced-order configurations operating at $1\,\text{ms}$ with a $50\,\mu\text{s}$ quasi-steady blade-element reference. The built-in hover cycle-averaged baseline achieves a $67.51\times$ CPU speedup but only $0.6593$ mean wrench fidelity. Combining multirate $21$-substep clock synchronization, three-di”
Exact source · revision 1Source owner not reported
Reported quantity · mean wrench fidelity: 0.9646 other · Basis not reported · Differing source assertions
“mensional linear/quadratic inflow and gust coupling, analytical blade-element geometry scaling, and phase-locked $1f\text{--}6f$ harmonics raises mean fidelity to $0.9646$ at a $65.19\times$ speedup in a five-block model. A streamlined four-block model without explicit step-transient lag states achieves $0.9662$ fidelity at a $67.98\times$ speedup. Controlled ablations show that stroke harmonics are particularly impo”
Exact source · revision 1Source owner not reported
Reported quantity · mean wrench fidelity: 0.9662 other · Basis not reported · Differing source assertions
“mensional linear/quadratic inflow and gust coupling, analytical blade-element geometry scaling, and phase-locked $1f\text{--}6f$ harmonics raises mean fidelity to $0.9646$ at a $65.19\times$ speedup in a five-block model. A streamlined four-block model without explicit step-transient lag states achieves $0.9662$ fidelity at a $67.98\times$ speedup. Controlled ablations show that stroke harmonics are particularly impo”
Exact source · revision 1Source owner not reported
Reported quantity · fidelity improvement: 0.3176 other · Basis not reported
“rtant during frequency transitions, improving held-out frequency-step fidelity by $+0.3176$. Transfer-function analysis explains this effect: fixed-window cycle averaging retains harmonic contributions when the wingbeat frequency changes, so within-cycle reconstruction also improves the filtered wrench. Once phase alignment and harmonic synthesis are included, explicit transient lag states provide no additional benef”
Exact source · revision 1Source owner not reported
Reported quantity · simulation step time: 1 other · Basis not reported
“enarios spanning frequency, gimbal, wind, frequency-step, gust, and cross-robot flat-plate regimes, we compare five reduced-order configurations operating at $1\,\text{ms}$ with a $50\,\mu\text{s}$ quasi-steady blade-element reference. The built-in hover cycle-averaged baseline achieves a $67.51\times$ CPU speedup but only $0.6593$ mean wrench fidelity. Combining multirate $21$-substep clock synchronization, three-di”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalFlapSim: A Composable MuJoCo Simulation Platform and Reduced-Order Aerodynamic Model Hierarchy for Flapping-Wing Robotics
This paper introduces FlapSim, an open-source simulation framework designed for flapping-wing robotics that integrates robot descriptions, wing geometry, and composable aerodynamic models. The authors evaluate five reduced-order configurations against a high-fidelity blade-element reference across 48 scenarios involving frequency variations, wind gusts, and cross-robot regimes. Results show that a streamlined four-block model achieves 0.9662 mean wrench fidelity with a 67.98x CPU speedup, while ablation studies highlight the critical role of stroke harmonics during frequency transitions. The work characterizes the accuracy-computation tradeoff and identifies key factors such as timing synchronization, inflow modeling, geometry scaling, and harmonic representation for efficient reduced-order simulation.
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