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Journal of Intelligent and Robotic Systems最新文献

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Adaptive Gait Trajectory and Event Prediction of Lower Limb Exoskeletons for Various Terrains Using Reinforcement Learning 基于强化学习的不同地形下肢外骨骼自适应步态轨迹及事件预测
Pub Date : 2023-09-16 DOI: 10.1007/s10846-023-01963-7
Zhipeng Yu, Jianghai Zhao, Danhui Chen, Shuyan Chen, Xiaojie Wang
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引用次数: 0
A Fuzzy Logic Approach of Pareto Optimality for Multi-objective Path Planning in case of Unmanned Surface Vehicle 无人水面车辆多目标路径规划的模糊Pareto最优方法
Pub Date : 2023-09-01 DOI: 10.1007/s10846-023-01945-9
Charis Ntakolia, Georgios P. Kladis, Dimitrios V. Lyridis
Abstract Unmanned Surface Vehicles (USVs) are nowadays used in various applications for security, inspection and delivery among others. To operate in dynamic and complex environments efficiently demands an optimal path planning where multiple factors should be taken into account. In this paper, the multi-objective path planning problem of USV is formulated aiming to minimize the traveled distance maximizing in parallel the trajectory smoothness and energy efficiency. To address this multi-objective path planning problem with contradicting terms, the popular Ant Colony Optimization (ACO) algorithm is employed enhanced with the proposed Fuzzy Pareto framework. In particular, ACO is used to solve the problem by finding the Pareto solutions optimizing each single objective. Then these solutions are evaluated via the Mamdani fuzzy inference system to identify the optimal one. The ranking of the solutions is based on the defuzzification values. A case study is performed in a simulation area based on Saronic Gulf topology. The results showed that depending the needs of an operation and the conditions of the area of operations (number of obstacles, currents, and distance from the initial to the target point), each objective can impact the path quality differently.
摘要:无人水面车辆(usv)目前用于安全,检查和交付等各种应用。为了在动态复杂环境中高效运行,需要考虑多种因素的最优路径规划。针对无人潜航器的多目标路径规划问题,以行走距离最小、轨迹平滑度和能量效率最大化为目标,建立了无人潜航器的多目标路径规划问题。为了解决这一矛盾项的多目标路径规划问题,采用了基于模糊帕累托框架的蚁群优化算法。其中,蚁群算法通过寻找优化单个目标的Pareto解来解决问题。然后利用Mamdani模糊推理系统对这些解进行评价,以确定最优解。解的排序基于解模糊化值。在基于Saronic Gulf拓扑的模拟区域中进行了案例研究。结果表明,根据操作的需要和操作区域的条件(障碍物数量、电流和从初始点到目标点的距离),每个目标对路径质量的影响不同。
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引用次数: 0
JIRS Editorial, September 2023 JIRS社论,2023年9月
Pub Date : 2023-09-01 DOI: 10.1007/s10846-023-01965-5
Kimon P. Valavanis
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引用次数: 0
Retraction Note: A New Viewpoint on Control Algorithms for Anthropomorphic Robotic Arms 拟人机械臂控制算法的新观点
Pub Date : 2023-08-17 DOI: 10.1007/s10846-023-01949-5
Tim Chen, J. C-y Chen
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引用次数: 0
Retraction Note: Methodologies to Optimize Automated Guided Vehicle Scheduling and Routing Problems: A Review Study 撤回注:优化自动引导车辆调度和路线问题的方法:综述研究
Pub Date : 2023-07-01 DOI: 10.1007/s10846-023-01923-1
Hamed Fazlollahtabar, Mohammad Saidi-Mehrabad
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引用次数: 0
A Robust Controller Design Method for a Flexible Manipulator with a Large Time Varying Payload and Parameter Uncertainties 具有大时变载荷和参数不确定性的柔性机械臂鲁棒控制器设计方法
Pub Date : 1999-05-10 DOI: 10.1109/ROBOT.1999.770013
J. Ryu, D. Kwon, Youngjin Park
A new robust controller design method is proposed to obtain a less conservative feedback controller and it is applied to a single-link flexible manipulator. The objective is to maximize the control performance guaranteeing the robust stability when regulating the tip position of the flexible manipulator in the presence of a large time-varying payload and parameter uncertainties such as stiffness and joint friction. A descriptor form representation, which allows separate treatment of payload uncertainty from other parametric uncertainties, is used to reduce the conservatism of the conventional robust control approaches. Uncertainty of the payload in the inertia matrix is represented by polytopic approach and the uncertain parameters in the damping and stiffness matrices are treated with descaling techniques. Using aforementioned techniques, the robust LQ controller design problem for a flexible manipulator based on the guaranteed cost approach is formulated. Then, the formulated problem is solved by LMIs.
提出了一种新的鲁棒控制器设计方法,以获得保守性较小的反馈控制器,并将其应用于单连杆柔性机械臂。目标是在存在较大时变载荷和刚度、关节摩擦等参数不确定性的情况下,实现柔性机械臂尖端位置调节的鲁棒稳定性控制性能最大化。描述符形式的表示允许将有效载荷不确定性与其他参数不确定性分开处理,从而降低了传统鲁棒控制方法的保守性。载荷在惯性矩阵中的不确定性用多面体法表示,阻尼和刚度矩阵中的不确定性用去标度技术处理。利用上述技术,提出了基于保证成本法的柔性机械臂鲁棒LQ控制器设计问题。然后,利用lmi对公式问题进行求解。
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引用次数: 25
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Journal of Intelligent and Robotic Systems
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