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A visual SLAM-based lightweight multi-modal semantic framework for an intelligent substation robot 基于视觉 SLAM 的智能变电站机器人轻量级多模态语义框架
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-19 DOI: 10.1017/s0263574724000511
Shaohu Li, Jason Gu, Zhijun Li, Shaofeng Li, Bixiang Guo, Shangbing Gao, Feng Zhao, Yuwei Yang, Guoxin Li, Lanfang Dong
Visual simultaneous localisation and mapping (vSLAM) has shown considerable promise in positioning and navigating across a variety of indoor and outdoor settings, significantly enhancing the mobility of robots employed in industrial and everyday services. Nonetheless, the prevalent reliance of vSLAM technology on the assumption of static environments has led to suboptimal performance in practical implementations, particularly in unstructured and dynamically noisy environments such as substations. Despite advancements in mitigating the influence of dynamic objects through the integration of geometric and semantic information, existing approaches have struggled to strike an equilibrium between performance and real-time responsiveness. This study introduces a lightweight, multi-modal semantic framework predicated on vSLAM, designed to enable intelligent robots to adeptly navigate the dynamic environments characteristic of substations. The framework notably enhances vSLAM performance by mitigating the impact of dynamic objects through a synergistic combination of object detection and instance segmentation techniques. Initially, an enhanced lightweight instance segmentation network is deployed to ensure both the real-time responsiveness and accuracy of the algorithm. Subsequently, the algorithm’s performance is further refined by amalgamating the outcomes of detection and segmentation processes. With a commitment to maximising performance, the framework also ensures the algorithm’s real-time capability. Assessments conducted on public datasets and through empirical experiments have demonstrated that the proposed method markedly improves both the accuracy and real-time performance of vSLAM in dynamic environments.
视觉同步定位和绘图(vSLAM)技术在各种室内外环境中的定位和导航方面显示出了巨大的潜力,大大提高了工业和日常服务机器人的机动性。然而,由于 vSLAM 技术普遍依赖于静态环境假设,因此在实际应用中,尤其是在变电站等非结构化和动态嘈杂的环境中,其性能并不理想。尽管通过整合几何和语义信息在减轻动态物体影响方面取得了进步,但现有方法仍难以在性能和实时响应能力之间取得平衡。本研究在 vSLAM 的基础上引入了一个轻量级、多模态语义框架,旨在使智能机器人能够熟练地在变电站特有的动态环境中导航。该框架通过对象检测和实例分割技术的协同组合,减轻了动态对象的影响,从而显著提高了 vSLAM 的性能。首先,部署了一个增强型轻量级实例分割网络,以确保算法的实时响应性和准确性。随后,通过合并检测和分割过程的结果,进一步完善算法的性能。由于致力于最大限度地提高性能,该框架还确保了算法的实时性。在公共数据集上进行的评估和实证实验表明,所提出的方法显著提高了 vSLAM 在动态环境中的准确性和实时性。
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引用次数: 0
Radial basis function neural networks for formation control of unmanned aerial vehicles 用于无人飞行器编队控制的径向基函数神经网络
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-19 DOI: 10.1017/s0263574724000559
Duy-Nam Bui, Manh Duong Phung
This paper addresses the problem of controlling multiple unmanned aerial vehicles (UAVs) cooperating in a formation to carry out a complex task such as surface inspection. We first use the virtual leader-follower model to determine the topology and trajectory of the formation. A double-loop control system combining backstepping and sliding mode control techniques is then designed for the UAVs to track the trajectory. A radial basis function neural network capable of estimating external disturbances is developed to enhance the robustness of the controller. The stability of the controller is proven by using the Lyapunov theorem. A number of comparisons and software-in-the-loop tests have been conducted to evaluate the performance of the proposed controller. The results show that our controller not only outperforms other state-of-the-art controllers but is also sufficient for complex tasks of UAVs such as collecting surface data for inspection. The source code of our controller can be found at https://github.com/duynamrcv/rbf_bsmc.
本文探讨了如何控制多架无人驾驶飞行器(UAV)以编队形式合作执行复杂任务(如表面检测)的问题。我们首先使用虚拟领导者-追随者模型来确定编队的拓扑结构和轨迹。然后为无人机设计一个结合了反步进和滑模控制技术的双环控制系统,以跟踪轨迹。为了增强控制器的鲁棒性,还开发了一个能够估计外部干扰的径向基函数神经网络。利用 Lyapunov 定理证明了控制器的稳定性。为了评估所提出控制器的性能,我们进行了大量的比较和软件在环测试。结果表明,我们的控制器不仅性能优于其他最先进的控制器,而且足以胜任无人机的复杂任务,如采集表面数据进行检测。我们控制器的源代码可在 https://github.com/duynamrcv/rbf_bsmc 上找到。
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引用次数: 0
Design and singularity analysis of a parallel mechanism with origami-inspired reconfigurable 5R closed-loop linkages 受折纸启发的可重构 5R 闭环连杆并联机构的设计与奇异性分析
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-19 DOI: 10.1017/s0263574724000560
Yili Kuang, Haibo Qu, Xiao Li, Xiaolei Wang, Sheng Guo
The reconfigurable mechanisms can satisfy the requirements of changing environments, working conditions, and tasks on the function and performance of the mechanism and can be applied to machine tool manufacturing, space detection, etc. Inspired by the single-vertex fivefold origami pattern, a new reconfigurable parallel mechanism is proposed in this paper, which has special singular positions and stable motion due to replicating the stabilizing kinematic properties of origami. Through analyzing the topologic change of the folding process of the pattern and treating it as a reconfigurable joint, a new reconfigurable parallel mechanism with 3, 4, 5, or 6 degrees of freedom is obtained. Then, the kinematics solution, workspace, and singularity of the mechanism are calculated. The results indicate that the singular configuration of the origami-derived reconfigurable parallel mechanism is mainly located in a special plane, and the scope of the workspace is still large after the configuration change. The mechanism has the potential to adapt to multiple tasks and working conditions through the conversion among different configurations by folding reconfigurable joints on the branch chain.
可重构机构可以满足不断变化的环境、工作条件和任务对机构功能和性能的要求,可应用于机床制造、空间探测等领域。受单顶点五折折纸图案的启发,本文提出了一种新的可重构并联机构,由于复制了折纸的稳定运动特性,该机构具有特殊的奇异位置和稳定的运动。通过分析图案折叠过程中的拓扑变化,并将其视为可重构的关节,得到了具有 3、4、5 或 6 个自由度的新型可重构并联机构。然后,计算了该机构的运动学解、工作空间和奇异性。结果表明,折纸衍生的可重构并联机构的奇异构型主要位于一个特殊平面内,构型改变后的工作空间范围仍然很大。通过折叠支链上的可重构关节实现不同构型之间的转换,该机构具有适应多种任务和工作条件的潜力。
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引用次数: 0
Research on welding seam tracking algorithm for automatic welding process of X-shaped tip of concrete piles using laser distance sensor 使用激光测距传感器的混凝土桩 X 型桩尖自动焊接过程中的焊缝跟踪算法研究
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-18 DOI: 10.1017/s0263574724000535
Cao Tri Huynh, Tri Cong Phung

The manufacturing of the X-shaped tip of prestressed centrifugal concrete piles is nowadays done half automatically by combining the manual worker and the automatic welding robot. To make this welding process full automatically, the welding seam tracking algorithm is considered. There are many types of sensors that can be used to detect the welding seam such as vision sensor, laser vision sensor, arc sensor, or touch sensor. Each type of sensor has its advantages and disadvantages. In this paper, an algorithm for welding seam tracking using laser distance sensor is proposed. Firstly, the fundamental mathematics theory of the algorithm is presented. Next, the positioning table system supports the procedure is designed and manufactured. The object of this research is the fillet joint because of the characteristics of the X-shaped tip of the concrete piles. This paper proposes a new method to determine the welding trajectory of the tip using laser distance sensor. After that, the experimental results are received to verify the proposed idea. Finally, the improved proposal of the algorithm is considered to increase the accuracy of the suggested algorithm.

如今,预应力离心混凝土管桩 X 形尖端的制造是通过人工和自动焊接机器人相结合的方式半自动完成的。为了实现全自动焊接,需要考虑焊缝跟踪算法。有多种类型的传感器可用于检测焊缝,如视觉传感器、激光视觉传感器、电弧传感器或触摸传感器。每种传感器都有其优缺点。本文提出了一种利用激光测距传感器进行焊缝跟踪的算法。首先,介绍了算法的基本数学理论。然后,设计并制造了支持该程序的定位台系统。由于混凝土桩 X 型桩尖的特点,本研究的对象是圆角接头。本文提出了一种利用激光测距传感器确定桩尖焊接轨迹的新方法。然后,通过实验结果来验证所提出的想法。最后,考虑了改进算法的建议,以提高建议算法的准确性。
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引用次数: 0
Multi-objective optimal trajectory planning for robot manipulator attention to end-effector path limitation 关注末端执行器路径限制的机器人操纵器多目标优化轨迹规划
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-17 DOI: 10.1017/s0263574724000481
Jintao Ye, Lina Hao, Hongtai Cheng
In the process of trajectory optimization for robot manipulator, the path that is generated may deviate from the intended path because of the adjustment of trajectory parameters, if there is limitation of end-effector path in Cartesian space for specific tasks, this phenomenon is dangerous. This paper proposes a methodology that is based on the Pareto front to address this issue, and the methodology takes into account both the multi-objective optimization of robotic arm and the quality of end-effector path. Based on dung beetle optimizer, this research proposes improved non-dominated sorting dung beetle optimizer. This paper interpolates manipulator trajectory with quintic B-spline curves, achieves multi-objective trajectory optimization that simultaneously optimizes traveling time, energy consumption, and mean jerk, proposes a trajectory selection strategy that is based on Pareto solution set by introducing the concept of Fréchet distance, and the strategy enables the end-effector to approach the desired path in Cartesian space. Simulation and experimental results validate the effectiveness and practicability of the proposed methodology on the Sawyer robot manipulator.
在机器人机械手的轨迹优化过程中,由于轨迹参数的调整,生成的路径可能会偏离预定路径,如果特定任务的末端执行器路径在笛卡尔空间存在限制,这种现象就很危险。本文提出了一种基于帕累托前沿的方法来解决这一问题,该方法既考虑了机械臂的多目标优化,又考虑了末端执行器路径的质量。在蜣螂优化器的基础上,本研究提出了改进的非支配排序蜣螂优化器。本文用五次 B-样条曲线对机械手轨迹进行插值,实现了同时优化行走时间、能耗和平均挺举的多目标轨迹优化,并通过引入弗雷谢特距离的概念,提出了一种基于帕累托解集的轨迹选择策略,该策略可使末端执行器在笛卡尔空间中接近所需的路径。仿真和实验结果验证了所提方法在 Sawyer 机器人操纵器上的有效性和实用性。
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引用次数: 0
Multibody dynamics in robotics with focus on contact events 机器人多体动力学,重点关注接触事件
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-16 DOI: 10.1017/s026357472400050x
Mariana Rodrigues da Silva, Joana Coelho, Fernando Gonçalves, Francisco Novais, Paulo Flores

Multibody dynamics methodologies have been fundamental tools utilized to model and simulate robotic systems that experience contact conditions with the surrounding environment, such as in the case of feet and ground interactions. In addressing such problems, it is of paramount importance to accurately and efficiently handle the large body displacement associated with locomotion of robots, as well as the dynamic response related to contact-impact events. Thus, a generic computational approach, based on the Newton–Euler formulation, to represent the gross motion of robotic systems, is revisited in this work. The main kinematic and dynamic features, necessary to obtain the equations of motion, are discussed. A numerical procedure suitable to solve the equations of motion is also presented. The problem of modeling contacts in dynamical systems involves two main tasks, namely, the contact detection and the contact resolution, which take into account for the kinematics and dynamics of the contacting bodies, constituting the general framework for the process of modeling and simulating complex contact scenarios. In order to properly model the contact interactions, the contact kinematic properties are established based on the geometry of contacting bodies, which allow to perform the contact detection task. The contact dynamics is represented by continuous contact force models, both in terms of normal and tangential contact directions. Finally, the presented formulations are demonstrated by the application to several robotics systems that involve contact and impact events with surrounding environment. Special emphasis is put on the systems’ dynamic behavior, in terms of performance and stability.

多体动力学方法一直是建模和模拟与周围环境发生接触的机器人系统的基本工具,例如脚与地面的相互作用。在解决此类问题时,最重要的是准确有效地处理与机器人运动相关的大体位移,以及与接触撞击事件相关的动态响应。因此,本研究重新探讨了基于牛顿-欧拉公式的通用计算方法,以表示机器人系统的总体运动。本文讨论了获得运动方程所需的主要运动学和动力学特征。此外,还介绍了适合求解运动方程的数值程序。动力学系统中的接触建模问题涉及两个主要任务,即接触检测和接触解析,这两个任务考虑了接触体的运动学和动力学,构成了复杂接触情景建模和仿真过程的总体框架。为了正确模拟接触相互作用,根据接触体的几何形状建立了接触运动学属性,以便执行接触检测任务。接触动力学由连续接触力模型表示,包括法向和切向接触方向。最后,通过应用于几个涉及与周围环境接触和撞击事件的机器人系统,展示了所提出的公式。特别强调了系统在性能和稳定性方面的动态行为。
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引用次数: 0
Frequency-dependent control for wind disturbance rejection of a fully actuated UAV 用于全动无人飞行器风扰抑制的频率相关控制
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-15 DOI: 10.1017/s0263574724000523
Jérémie X. J. Bannwarth, Shahab Kazemi, Karl Stol
In this paper, an $textrm{H}_{{infty }}$ dynamic output feedback controller is experimentally implemented for the position regulation of a fully actuated tilted-rotor octocopter unmanned aerial vehicle (UAV) to improve wind disturbance rejection during station-keeping. To apply the lateral forces, besides the standard tilt-to-translate (attitude-thrust) movement, tilted-rotor UAVs can generate vectored (horizontal) thrust. Vectored-thrust is high-bandwidth but saturation-constrained, while attitude-thrust generates larger forces with lower bandwidth. For the first time, this paper emphasizes the frequency-dependent allocation of weighting matrices in $textrm{H}_{{infty }}$ control design based on the physical capabilities of the fully actuated UAV (vectored-thrust and attitude-thrust). A dynamic model of the tilted-rotor octocopter, including aerodynamic effects and rotor dynamics, is presented to design the controller. The proposed $textrm{H}_{{infty }}$ controller solves the frequency-dependent actuator allocation problem by augmenting the dynamic model with weighting transfer functions. This novel frequency-dependent allocation utilizes the attitude-thrust for low-frequency disturbances and vectored-thrust for high-frequency disturbances, which exploits the maximum potential of the fully actuated UAV. Several wind tunnel experiments are conducted to validate the model and wind disturbance rejection performance, and the results are compared to the baseline PX4 Autopilot controller on both the tilted-rotor and a planar octocopter. The $textrm{H}_{{infty }}$ controller is shown to reduce station-keeping error by up to 50% for an actuator usage 25% higher in free-flight tests.
本文通过实验实现了一种$textrm{H}_{infty }}$动态输出反馈控制器,用于全动倾斜旋翼八旋翼无人飞行器(UAV)的位置调节,以改善定点保持过程中的风干扰抑制。为了施加横向力,除了标准的倾斜-平移(姿态-推力)运动外,倾转旋翼无人飞行器还能产生矢量(水平)推力。矢量推力具有高带宽,但饱和受限,而姿态推力则能以较低的带宽产生较大的力。本文首次强调了基于完全致动无人机的物理能力(矢量推力和姿态推力),在 $textrm{H}_{{infty }}$ 控制设计中根据频率分配权重矩阵。为设计控制器,提出了倾斜旋翼八旋翼飞行器的动态模型,包括气动效应和旋翼动力学。所提出的 $textrm{H}_{{infty }}$ 控制器通过用加权传递函数增强动态模型来解决频率相关的致动器分配问题。这种新颖的频率相关分配利用姿态-推力来应对低频干扰,利用矢量-推力来应对高频干扰,从而最大限度地挖掘了完全致动无人机的潜力。为了验证模型和风扰动抑制性能,我们进行了多次风洞实验,并将实验结果与倾斜旋翼和平面八旋翼飞行器上的基准 PX4 自动驾驶控制器进行了比较。在自由飞行测试中,$text/textrm{H}_{{infty }}$ 控制器可在致动器使用率高出 25% 的情况下减少高达 50% 的定点误差。
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引用次数: 0
Adaptive backstepping controller based on a novel framework for dynamic solution of an ankle rehabilitation spherical parallel robot 基于新框架的自适应反步进控制器,用于踝关节康复球形并联机器人的动态解决方案
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-12 DOI: 10.1017/s0263574724000390
Ali Ahmadi N, Ali Kamali Eigoli, Afshin Taghvaeipour
This research offers an adaptive model-based methodology for autonomous control of 3-RRR spherical parallel manipulator (RSPM) based on a novel modeling framework. RSPM is an overconstrained parallel mechanism that has a variety of applications in medical procedures such as ankle rehabilitation because of its precision and accuracy. However, obtaining a complete explicit dynamic model of these mechanisms for tracking purposes has been a problematic challenge due to their inherent singularities, coupling effects of the limbs, and redundant constraints imposed by the intermediate joints. This paper presents a novel algorithm to obtain the analytical kinematic solutions of RSPMs based on the closed-loop vector method, which includes constraint analysis. By incorporating constrained kinematics into the dynamic model, a comprehensive explicit dynamic solution of the non-overconstrained version 3-RCC of RSPM is developed in task space, based on screw theory and the linear homogeneous property of algebraic equations on the manipulator twist. Based on the proposed computational framework, a robust self-tuning backstepping control (STBC) strategy is applied to the robot to overcome the effect of external disturbances and time-varying uncertainties. Furthermore, an observer-based compensation (OBC) method is presented for dealing with the nonlinear hysteresis loops of the ankle during trajectory tracking purposes. The closed-loop stability of the whole system including STBC and OBC is theoretically performed by Lyapunov methods. The proposed methodologies are validated by realistic co-simulations in different scenarios. For instant, in the presence of external disturbances, the maximum tracking error norm of STBC is 37.5% less than the sliding mode approach.
本研究基于新颖的建模框架,为 3-RRR 球形并联机械手(RSPM)的自主控制提供了一种基于模型的自适应方法。RSPM 是一种超约束并行机械装置,由于其精度和准确性,在踝关节康复等医疗程序中有着广泛的应用。然而,由于其固有的奇异性、肢体的耦合效应以及中间关节施加的冗余约束,为跟踪目的获取这些机构的完整显式动态模型一直是一个难题。本文提出了一种基于闭环矢量法(包括约束分析)的新算法,用于获取 RSPM 的解析运动学解。通过将约束运动学纳入动态模型,基于螺杆理论和机械手扭转代数方程的线性同质特性,在任务空间中建立了 RSPM 的无过约束版本 3-RCC 的综合显式动态解。基于所提出的计算框架,鲁棒自调整反步态控制(STBC)策略被应用于机器人,以克服外部干扰和时变不确定性的影响。此外,还提出了一种基于观测器的补偿(OBC)方法,用于在轨迹跟踪过程中处理踝关节的非线性滞后环。包括 STBC 和 OBC 在内的整个系统的闭环稳定性是通过 Lyapunov 方法从理论上实现的。所提出的方法通过不同场景下的实际协同模拟进行了验证。例如,在有外部干扰的情况下,STBC 的最大跟踪误差规范比滑动模式方法小 37.5%。
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引用次数: 0
Automatic extrinsic calibration for structured light camera and repetitive LiDARs 结构光照相机和重复激光雷达的自动外部校准
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-11 DOI: 10.1017/s0263574724000444
Yangtao Ge, Chen Yao, Zirui Wang, Bangzhen Huang, Haoran Kang, Wentao Zhang, Zhenzhong Jia, Jing Wu
The integration of camera and LiDAR technologies has the potential to significantly enhance construction robots’ perception capabilities by providing complementary construction information. Structured light cameras (SLCs) are a desirable alternative as they provide comprehensive information on construction defects. However, fusing these two types of information depends largely on the sensors’ relative positions, which can only be established through extrinsic calibration. This paper introduces a novel calibration algorithm considering a customized board for SLCs and repetitive LiDARs, which are designed to facilitate the automation of construction robots. The calibration board is equipped with four symmetrically distributed hemispheres, whose centers are obtained by fitting the spheres and adoption with the geometric constraints. Subsequently, the spherical centers serve as reference features to estimate the relationship between the sensors. These distinctive features enable our proposed method to only require one calibration board pose and minimize human intervention. We conducted both simulation and real-world experiments to assess the performance of our algorithm. And the results demonstrate that our method exhibits enhanced accuracy and robustness.
将照相机和激光雷达技术相结合,可以提供互补的建筑信息,从而大大提高建筑机器人的感知能力。结构光摄像机(SLC)是一种理想的选择,因为它能提供有关建筑缺陷的全面信息。然而,这两种信息的融合在很大程度上取决于传感器的相对位置,而这只能通过外部校准来确定。本文介绍了一种新颖的校准算法,它考虑到了为 SLC 和重复激光雷达定制的校准板,旨在促进建筑机器人的自动化。校准板上装有四个对称分布的半球,其中心是通过拟合球面和采用几何约束条件得到的。随后,球心作为参考特征来估算传感器之间的关系。这些独特的特征使我们提出的方法只需要一个校准板姿势,并最大限度地减少了人为干预。我们进行了模拟和实际实验来评估我们算法的性能。结果表明,我们的方法具有更高的准确性和鲁棒性。
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引用次数: 0
A modular computational framework for the dynamic analyses of cable-driven parallel robots with different types of actuation including the effects of inertia, elasticity and damping of cables 模块化计算框架,用于对具有不同驱动类型的缆索驱动并联机器人进行动态分析,包括缆索的惯性、弹性和阻尼效应
IF 2.7 4区 计算机科学 Q1 Mathematics Pub Date : 2024-04-11 DOI: 10.1017/s026357472400047x
Teja Krishna Mamidi, Sandipan Bandyopadhyay
Dynamic simulations of the cable-driven parallel robots (CDPRs) with cable models closer to reality can predict the motions of moving platforms more accurately than those with idealisations. Hence, the present work proposes an efficient and modular computational framework for this purpose. The primary focus is on the developments required in the context of CDPRs actuated by moving the exit points of cables while the lengths are held constant. Subsequently, the framework is extended to those cases where simultaneous changes in the lengths of cables are employed. Also, the effects due to the inertia, stiffness and damping properties of the cables undergoing 3D motions are included in their dynamic models. The efficient recursive forward dynamics algorithms from the prior works are utilised to minimise the computational effort. Finally, the efficacy of the proposed framework and the need for such an inclusive dynamic model are illustrated by applying it to different application scenarios using the spatial $4$ - $4$ CDPR as an example.
对缆索驱动并联机器人(CDPR)进行动态模拟时,采用更贴近现实的缆索模型,能比采用理想模型更准确地预测移动平台的运动。因此,本研究为此提出了一个高效的模块化计算框架。主要重点是在长度保持不变的情况下,通过移动电缆的出口点来驱动 CDPR 时所需的开发。随后,该框架被扩展到采用电缆长度同时变化的情况。此外,在动态模型中还包括了三维运动中电缆的惯性、刚度和阻尼特性所产生的影响。为了最大限度地减少计算量,我们采用了先前研究中的高效递归前向动力学算法。最后,以空间 $4$ - $4$ CDPR 为例,通过将其应用于不同的应用场景,说明了所提框架的功效以及对这种包容性动态模型的需求。
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引用次数: 0
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Robotica
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