用于空中连续体机械臂的应变参数化耦合动力学与双摄像头视觉伺服控制 / Strain-Parameterized Coupled Dynamics and Dual-Camera Visual Servoing for Aerial Continuum Manipulators
1️⃣ 一句话总结
这篇论文提出了一种新的建模与控制方法,通过结合应变参数化模型和双摄像头视觉伺服,有效解决了无人机搭载的柔性机械臂在动态控制中计算量大、视野受限和姿态干扰的问题,并通过实验验证了其在实际场景中的有效性。
Tendon-driven aerial continuum manipulators (TD-ACMs) combine the maneuverability of uncrewed aerial vehicles (UAVs) with the compliance of lightweight continuum robots (CRs). Existing coupled dynamic modeling approaches for TD-ACMs incur high computational costs and do not explicitly account for aerial platform underactuation. To address these limitations, this paper presents a generalized dynamic formulation of a coupled TD-ACM with an underactuated base. The proposed approach integrates a strain-parameterized Cosserat rod model with a rigid-body model of the UAV into a unified Lagrangian ordinary differential equation (ODE) framework on $\mathrm{SE}(3)$, thereby eliminating computationally intensive symbolic derivations. Building upon the developed model, a robust dual-camera image-based visual servoing (IBVS) scheme is introduced. The proposed controller mitigates the field-of-view (FoV) limitations of conventional IBVS, compensates for attitude-induced image motion caused by UAV lateral dynamics, and incorporates a low-level adaptive controller to address modeling uncertainties with formal stability guarantees. Extensive simulations and experimental validation on a compact custom-built prototype demonstrate the effectiveness and robustness of the proposed framework in real-world scenarios.
用于空中连续体机械臂的应变参数化耦合动力学与双摄像头视觉伺服控制 / Strain-Parameterized Coupled Dynamics and Dual-Camera Visual Servoing for Aerial Continuum Manipulators
这篇论文提出了一种新的建模与控制方法,通过结合应变参数化模型和双摄像头视觉伺服,有效解决了无人机搭载的柔性机械臂在动态控制中计算量大、视野受限和姿态干扰的问题,并通过实验验证了其在实际场景中的有效性。
源自 arXiv: 2603.23333