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2022 International Conference on System Science and Engineering (ICSSE)最新文献

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Fast Path Planning Method for Agricultural Robot Automatic Guidance based on Cubic Spline Interpolation in Strip Farming 基于三次样条插值的条形农业机器人自动导航快速路径规划方法
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948249
Jen-Ching Chien, Chung-Liang Chang, Chang-Chen Yu
In the autonomous navigation of agricultural robots in the field, the number of path nodes determines the smoothness of the robot's movement. However, the process of defining node positions is time-consuming and labor-intensive. In this study, a path planning method based on cubic spline interpolation is proposed to reduce the time of node position definition and configuration. At the same time, the use of this method can also maintain the stability of the steering control of agricultural robots, so that the robot can move smoothly. First, select several path nodes in the strip field as control points using cubic spline interpolation. Combines the complete path of a polyline segment by interpolating the path of the start point, control point, and landmark point between the straight path and the turn path. A small number of path node locations are defined by the global navigation satellite system with real-time kinematics (GNSS-RTK) system, and a robot dynamics system is used to actually simulate the feasibility of the proposed model in a strip field environment. The simulation results verify the effectiveness of the proposed algorithm. This method can reduce the number of path node position definitions and maintain the accuracy of the robot's route travel.
在农业机器人的田间自主导航中,路径节点的数量决定了机器人运动的平滑度。但是,定义节点位置的过程既耗时又费力。本文提出了一种基于三次样条插值的路径规划方法,以减少节点位置定义和配置的时间。同时,使用这种方法还可以保持农业机器人转向控制的稳定性,使机器人能够平稳移动。首先,利用三次样条插值在条带域中选择若干路径节点作为控制点。通过插值直线路径和转弯路径之间的起点、控制点和地标点的路径,组合一条多线段的完整路径。利用实时运动学(GNSS-RTK)系统定义了少量路径节点位置,并利用机器人动力学系统在条带场环境中实际仿真了所提模型的可行性。仿真结果验证了该算法的有效性。该方法可以减少路径节点位置定义的数量,保持机器人路线行进的准确性。
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引用次数: 0
Biomimicry in Soft Robotics Actuation and Locomotion 软体机器人的仿生驱动与运动
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948246
Angus Stuttaford-Fowler, H. Samani, Changguo Yang
Animals have evolved over billions of years to adapt to their surroundings via natural selection, ensuring that the most optimal biological systems will survive. Biomimicry solves engineering problems by taking solutions from analogous biological systems. The advent of robotic ubiquity has brought along a need for radical change in the foundations of robotics and taking bioinspiration is the subsequent step in creating the next generation of adaptive robots. Incorporating soft robotics into actuating and locomotive systems theoretically provides infinite degrees of freedom, as well as allow safe and delicate interaction with humans and the environment. The future challenges of robotics will be to further develop the abilities for robots to grow, self-heal, and adapt their morphology to their surroundings. This review will analyze and discuss current examples of biomimetic actuation and locomotion, their relevance, and the future of these technologies.
动物经过数十亿年的进化,通过自然选择来适应周围的环境,确保最优的生物系统能够生存下来。仿生学通过从类似的生物系统中获取解决方案来解决工程问题。机器人无处不在的到来带来了对机器人基础的彻底改变的需求,而获取生物灵感是创造下一代自适应机器人的后续步骤。从理论上讲,将软机器人技术纳入驱动系统和机车系统提供了无限的自由度,并允许与人类和环境安全而微妙的互动。机器人技术未来的挑战将是进一步发展机器人的生长能力、自我修复能力以及使其形态适应周围环境的能力。这篇综述将分析和讨论目前仿生驱动和运动的例子,它们的相关性,以及这些技术的未来。
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引用次数: 1
IEEE Copyright and Consent Form IEEE版权及同意表格
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948227
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
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引用次数: 0
A Case Study of Artificial Intelligence Applied to Safe Area Assessment 人工智能在安全区域评估中的应用研究
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9947365
Jen-Hsing Li
This paper mainly studies the safe area assessment, using the jetbot (artificial intelligence robot) to do experiments, when the jetbot walks in the safe area, it walks freely. When the jetbot walks to the boundary, it will turn to a safe area. The safe area assessment can be applied to the working field of the robotic arm. When a worker enters the working range of the robotic arm, the robotic arm system must identify and evaluate the safety of the worker to achieve the safety of the working field.
本文主要研究安全区域评估,利用jetbot(人工智能机器人)做实验,当jetbot在安全区域行走时,行走自由。当喷射机器人走到边界时,它会转向安全区域。安全区域评估可以应用于机械臂的工作领域。当作业人员进入机械臂的工作范围时,机械臂系统必须对作业人员的安全性进行识别和评估,以实现作业现场的安全。
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引用次数: 0
Design and prototyping of a low-cost light weight fixed-endpoint orientation planar Cobot 低成本、轻量化、固定端点定向平面协作机器人的设计与原型设计
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9947353
I. Howard
Here we present the design and construction of a low-cost planar robotic arm that makes use of light weight component and a passive link mechanism to maintain fixed endpoint orientation. The arm structure itself is low-cost and built from carbon fiber tubes which yields a high stiffness to weight ratio. To facilitate construction, commercially available pulley and bearing components are used in the design where possible and all custom mechanical parts are 3D printed. To reduce power consumption, the arm makes use of non-back-drivable worm-gear motor actuation, so static arm configurations can be maintained without requiring motor power. We first analyze and simulate the kinematics and the static torque/force relationships of the mechanism. A microcontroller system was then developed to read the sensors and drive the arm motors. Finally, we demonstrate arm operation with simple movement tasks.
本文提出了一种低成本的平面机械臂的设计和构造,该机械臂利用轻量化部件和无源连杆机构来保持固定的端点方向。手臂结构本身是低成本的,由碳纤维管制成,具有很高的刚度与重量比。为了便于施工,在设计中尽可能使用市售滑轮和轴承组件,所有定制的机械部件都是3D打印的。为了降低功耗,手臂采用非反向驱动的蜗轮电机驱动,因此可以在不需要电机动力的情况下保持静态手臂配置。首先分析和模拟了机构的运动学和静态扭矩/力关系。然后开发了一个微控制器系统来读取传感器并驱动手臂电机。最后,我们用简单的运动任务演示手臂操作。
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引用次数: 1
Optimal EEG Data Segmentation in LSTM Networks for Learning Neural Dynamics of ADHD 基于LSTM网络的最优脑电数据分割用于ADHD神经动力学学习
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948260
I-Wen Huang, Yang Chang, Cory Stevenson, I. Chen, Dar-Shong Lin, L. Ko
Attention deficit/hyperactivity disorder (ADHD) is a condition that generally affects the neurodevelopment of children. Both electroencephalography (EEG) and continuous performance tests (CPT) can be used not only to provide objective identification ADHD, but also to directly observe and quantify the performance of subject task performance. In this study, we propose an optimized segmentation for learning EEG time-series information with long short-term memory (LSTM) networks used to differentiate ADHD and neurotypical (NT) children. A total of 30 NT children and 30 children diagnosed with ADHD participated in CPT while simultaneously monitored with EEG. The experimental results show that, whether it is a single feature of beta power at a the O2 electrode location or all the features, the optimal data segment is the same, an EEG segment containing the data from 30 seconds of eyes-open resting and 30 seconds of CPT task. This produced improved performance for discriminating the differences in EEG between the two groups, thus assisting in the diagnosis of ADHD.
注意缺陷/多动障碍(ADHD)是一种普遍影响儿童神经发育的疾病。脑电图(EEG)和连续行为测试(CPT)不仅可以提供ADHD的客观识别,还可以直接观察和量化被试的任务表现。在这项研究中,我们提出了一种优化的分割方法,用于使用长短期记忆(LSTM)网络学习EEG时间序列信息,用于区分ADHD和神经正常(NT)儿童。共有30名NT儿童和30名诊断为ADHD的儿童参加CPT,同时进行脑电图监测。实验结果表明,无论是O2电极位置的单个beta功率特征还是所有特征,最优数据段都是相同的,即包含30秒睁眼休息和30秒CPT任务数据的脑电信号段。这提高了区分两组脑电图差异的性能,从而有助于ADHD的诊断。
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引用次数: 0
IEEE Copyright and Consent Form IEEE 版权和同意书
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948255
Presents the copyright information for the conference. May include reprint permission information.
介绍会议的版权信息。可包括转载许可信息。
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引用次数: 0
Hybrid Political Algorithm Approach for Engineering Optimization Problems 工程优化问题的混合政治算法
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948232
Yu-Ting Su, En-Hauh Liu, Tzuu-Hseng S. Li
Political Optimizer is a metaheuristic algorithm proposed by scholars recently. It reflects good convergence speed as well as exploitation and exploration capabilities in problems relevant to finding optimal solutions. However, regarding the global optimum, it still has spaces to be improved. This study proposed a Hybrid Political Algorithm, which makes balanced modifications to the exploration process and algorithm functions to effectively improve searching for the optimal solutions in the mathematic problems of Congress on Evolutionary Computation and engineering problems by enabling the particles to move smarter in the computation process. Based on the experimental results, improving the performance of algorithm functions using the methods proposed in this study can also help avoid falling into the local optimum. In addition, compared to other algorithms, this improved algorithm can generate more accurate results.
政治优化算法是近年来学者提出的一种元启发式算法。它反映了较好的收敛速度以及在寻找最优解相关问题上的开发和探索能力。然而,对于全局最优,它仍有改进的空间。本文提出了一种混合政治算法(Hybrid Political Algorithm),该算法对探索过程和算法功能进行了平衡修改,通过使粒子在计算过程中更智能地移动,有效地提高了在进化计算大会数学问题和工程问题中寻找最优解的能力。从实验结果来看,利用本文提出的方法提高算法函数的性能也有助于避免陷入局部最优。此外,与其他算法相比,改进后的算法可以生成更准确的结果。
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引用次数: 0
IEEE Copyright and Consent Form IEEE版权及同意表格
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948247
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
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引用次数: 0
IEEE Copyright and Consent Form IEEE版权及同意表格
Pub Date : 2022-05-26 DOI: 10.1109/ICSSE55923.2022.9948252
Presents the copyright information for the conference. May include reprint permission information.
展示会议的版权信息。可能包括转载许可信息。
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引用次数: 0
期刊
2022 International Conference on System Science and Engineering (ICSSE)
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