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2023 9th International Conference on Automation, Robotics and Applications (ICARA)最新文献

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An Elastic Shoulder Joint for Humanoid Robotics Application 一种用于仿人机器人的弹性肩关节
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10125796
Sharafatdin Yessirkepov, T. Umurzakov, Rassul Shaimerdenov, M. Folgheraiter
Designing multiple DOFs joints having a parallel kinematic structure brings additional challenges, if compared with classical single DOF joints. Generally, it is more difficult to formalize the forward kinematic model for a parallel kinematic chain, in addition, while performing a target motion, the actuators have to be carefully coordinated to avoid wasting energy or cause damages to the system. The problem is becoming even more complex if instead of using a rigid structure, elastic elements are incorporated in the design. With this work, we present how to make usage of the method of Finite Element Analysis (FEA) in order to compare alternative designs for the central leg of a shoulder joint having a parallel kinematic architecture. The optimization process of the joint's design was defined by providing 2 different scenarios: 1) bending and 2) twisting. Moreover, we introduce how to model the kinematics of an elastic legs, by replacing the bending object with a combination of 3 universal joints and 2 links. In order to increase the payload-to-weight ratio of the shoulder joint, a high power-to-weight ratio servomotor was integrated by using a tendon-driven mechanism.
与传统的单自由度关节相比,设计具有并联运动结构的多自由度关节带来了额外的挑战。一般来说,并联运动链的正运动学模型的形式化比较困难,而且在执行目标运动时,必须仔细协调执行机构,以避免浪费能量或对系统造成损害。如果不使用刚性结构,而是在设计中加入弹性元素,问题会变得更加复杂。通过这项工作,我们介绍了如何利用有限元分析(FEA)方法来比较具有并联运动结构的肩关节中心腿的备选设计。通过提供2种不同的场景:1)弯曲和2)扭转,定义了关节设计的优化过程。此外,我们还介绍了如何用3个万向节和2个连杆的组合代替弯曲物体来建立弹性腿的运动学模型。为了提高肩关节的有效载荷重量比,采用肌腱驱动机构集成了高功率重量比的伺服电机。
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引用次数: 0
A Rapidly-Exploring Random Tree Algorithm with Reduced Random Map Size 减小随机映射大小的快速探索随机树算法
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10125934
Aphilak Lonklang, János Botzheim
Mobile robots have been widely used in automated factory applications such as raw material delivery and product storage transportation. Path planning algorithms have been proposed to generate a feasible global approach. The path result must be free from obstacle regions and shortest. Previously we proposed an Improved Rapidly-Exploring Random Tree (Improved RRT*) algorithm. The algorithm consists of the pre-processing step for feasible mapping, primary processing with RRT* for path generating, and post-processing with Bacterial Mutation and Node Deletion operators. This paper aims to improve further the capability of the Improved RRT* algorithm by reducing the overall computation time. The proposed method reduces the complexity of the random map after each iteration by deleting the used nodes. In this way, the computational time could be reduced.
移动机器人已广泛应用于原材料输送、产品仓储运输等自动化工厂应用。路径规划算法已被提出,以产生一个可行的全局方法。路径结果必须没有障碍区域并且最短。在此之前,我们提出了一种改进的快速探索随机树(Improved RRT*)算法。该算法由可行映射的预处理步骤、路径生成的RRT*初级处理步骤和细菌突变算子和节点删除算子的后处理步骤组成。本文旨在通过减少整体计算时间来进一步提高改进的RRT*算法的性能。该方法通过删除使用过的节点来降低每次迭代后随机映射的复杂度。这样可以减少计算时间。
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引用次数: 0
Modified Bug Algorithm with Proximity Sensors to Reduce Human-Cobot Collisions 基于接近传感器的改进Bug算法减少人机碰撞
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10126056
Anran Li, H. Gurocak
This paper presents an adaptation of the mobile robot bug algorithm to control a cobot to reduce collisions with a human worker in the same work cell. Collaborative robots (cobots) are popular in industry because they enable close collaboration between a human and a robot. Although the cobot can stop when a collision happens, it is not a pleasant or safe working environment for the human to be hit by the cobot possibly multiple times a day. The proposed approach uses inexpensive proximity sensors on the cobot and a simple algorithm. An adjustable yaw angle is introduced to the algorithm to further reduce collisions. Results from pick-and-place experiments with UR 10 cobot show significant reduction of collisions.
本文提出了一种基于移动机器人bug算法的协作机器人控制方法,以减少在同一工作单元中与人类工人的碰撞。协作机器人(cobots)在工业中很受欢迎,因为它们可以实现人与机器人之间的密切协作。虽然当碰撞发生时,协作机器人可以停止,但对于人类来说,每天可能会被协作机器人撞击多次,这不是一个愉快或安全的工作环境。所提出的方法在协作机器人上使用廉价的接近传感器和简单的算法。在算法中引入可调节的偏航角,进一步减少碰撞。ur10协作机器人的捡放实验结果表明,碰撞显著减少。
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引用次数: 0
Efficient Real-Time Localization in Prior Indoor Maps Using Semantic SLAM 基于语义SLAM的室内地图实时定位研究
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10125919
Raktim Gautam Goswami, P. V. Amith, J. Hari, A. Dhaygude, P. Krishnamurthy, J. Rizzo, A. Tzes, F. Khorrami
In this paper, a method for real-time global localization (registration) of an agent (robot or visually impaired person) in the presence of an a priori indoor map (e.g., an image of a floor plan) is presented. In the proposed algorithm, the SLAM map created by the agent equipped with RGB-D and IMU sensors is used in conjunction with an a priori architectural floor plan to find the global location of the agent. This involves extraction and vectorization of the semantic object locations from the a priori map image, implementation of real-time semantic SLAM using onboard sensors on the agent, and the use of a particle filter based optimization method for global localization. The proposed algorithm is applied in an indoor environment and localization results are presented showing the effectiveness of the approach.
本文提出了一种在先验室内地图(例如平面图图像)存在的情况下,对智能体(机器人或视障人士)进行实时全局定位(注册)的方法。在该算法中,使用由配备RGB-D和IMU传感器的智能体创建的SLAM地图,结合先验的建筑平面图来查找智能体的全局位置。这包括从先验地图图像中提取和矢量化语义对象位置,使用代理上的机载传感器实现实时语义SLAM,以及使用基于粒子滤波的全局定位优化方法。将该算法应用于室内环境,并给出了定位结果,结果表明了该方法的有效性。
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引用次数: 2
Simulation Analysis of A Cable-Driven Astronaut on-Orbit Physical Exercise Equipment 缆索驱动的航天员在轨体育锻炼设备仿真分析
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10125912
Lailu Li, Lixun Zhang, Bing Wang, Da Song
It has been proved by aerospace medicine that physical exercises are the most effective countermeasure to eliminate the negative influence brought by microgravity when astronauts carry out space exploration missions. A cable-driven astronaut on-orbit physical exercise equipment (CAPE) is proposed in this paper, and to verify its feasibility and performance: First, the cable-driven astronaut on-orbit physical exercise equipment was introduced. Second, the force analysis of the CAPE-assisted deep squat was conducted, and the cable tension distribution strategy was established. Third, the simulation study was carried out by utilizing Matlab. The results demonstrate that the deep squat conducted by the CAPE is smooth and steady, the cable tension distribution strategy is accurate, astronaut can realize deep squat during a space trip with the assistance of CAPE.
航天医学已经证明,体育锻炼是消除宇航员在执行太空探索任务时微重力带来的负面影响的最有效的对策。本文提出了一种缆索驱动的航天员在轨体育锻炼设备(CAPE),并对其可行性和性能进行了验证:首先介绍了缆索驱动的航天员在轨体育锻炼设备。其次,进行了cape辅助深蹲受力分析,建立了索张力分布策略;第三,利用Matlab进行仿真研究。结果表明,在CAPE的辅助下,深蹲动作平稳、平稳,缆索张力分布策略准确,宇航员可以在CAPE的辅助下完成深蹲动作。
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引用次数: 0
Mechatronic Design of an Amphibious Drone 水陆两栖无人机机电一体化设计
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10125643
N. Evangeliou, Dimitris Chaikalis, Nikolaos Giakoumidis, A. Tzes
This paper is concerned with the mechatronic design of a tricopter drone which can move as a ground vehicle and/or as a vessel. The tricopter has three pairs of coaxial rotors and is capable of providing 100N of thrust with a 15 minute flight time using an 8S LiPo 12.5Ah battery. Three waterproof motors are attached to an isosceles triangular omniwheel configuration for operating as a ground vehicle after landing. The customized wheels allow the vehicle to move with a linear velocity up to 2 m/sec at a tilt slope up to 20°. Two submersible parallel water thrusters provide 24N collective force leading to a maximum vessel velocity of 1 m/s and a turn radius of 1.5 m. The design alternatives are highlighted and prioritized according to their weight while the overall amphibious drone is shown in several flight/omniwheel vehicle/vessel modes.
本文研究了一种可以作为地面车辆和/或船只移动的三旋翼无人机的机电一体化设计。三旋翼有三对同轴旋翼,能够提供100N的推力和15分钟的飞行时间,使用8S LiPo 12.5Ah电池。三个防水马达连接到一个等腰三角形全轮配置,用于着陆后作为地面车辆操作。定制的车轮允许车辆以高达2米/秒的线速度移动,倾斜坡度高达20°。两个潜水式并联水推力器提供24N的集体力,使船舶的最大速度为1m /s,转弯半径为1.5 m。设计方案根据其重量进行突出显示和优先排序,而整体两栖无人机则以几种飞行/全轮车辆/船舶模式显示。
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引用次数: 1
Towards Self-Configuring Plug & Produce Robot Systems Based on Ontologies 基于本体的自配置插拔机器人系统研究
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10126075
Christian Eymüller, Julian Hanke, Alexander Poeppel, W. Reif
The industry is undergoing a disruptive shift from mass production to individually manufactured one-offs. To achieve this transformation, the production facilities must also be flexible and able to configure themselves according to requirements. Often it is not enough to reconfigure the software, but the hardware must also be adapted accordingly. Such customizable hardware and software systems are called Plug & Produce systems. For such Plug & Produce robot systems, we have developed an automatic configuration generation for hardware configurations based on capability/skill descriptions of individual hardware components. The configuration creation is done with the help of an ontology, in which information about modular hardware components, their capabilities, and the interrelationships of their interfaces (geometric, electrical, and data) is stored.
该行业正在经历一场颠覆性的转变,从大规模生产转向单独制造一次性产品。为了实现这种转变,生产设施也必须是灵活的,能够根据需求进行配置。通常,仅仅重新配置软件是不够的,还必须相应地调整硬件。这种可定制的硬件和软件系统被称为Plug & Produce系统。对于这样的Plug & Produce机器人系统,我们已经开发了基于单个硬件组件的能力/技能描述的硬件配置自动配置生成。配置创建是在本体的帮助下完成的,在本体中存储了关于模块化硬件组件、它们的功能以及它们的接口(几何、电气和数据)之间的相互关系的信息。
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引用次数: 0
Automatic Generation of Robot Actions for Collaborative Tasks from Speech 基于语音的协作任务机器人动作自动生成
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10125800
Manizheh Zand, K. Kodur, Maria Kyrarini
Robots have the potential to assist people in daily tasks, such as cooking a meal. Communicating with the robots verbally and in an unstructured way is important, as spoken language is the main form of communication for humans. This paper proposes a novel framework that automatically generates robot actions from unstructured speech. The proposed frame-work was evaluated by collecting data from 15 participants preparing their meals while seating on a chair in a randomly disrupted environment. The system can identify and respond to a task sequence while the user may be engaged in unrelated conversations, even if the user's speech might be unstructured and grammatically incorrect. The accuracy of the proposed system is 98.6%, which is a very promising finding.
机器人有潜力帮助人们完成日常任务,比如做饭。与机器人进行口头和非结构化的交流非常重要,因为口头语言是人类交流的主要形式。本文提出了一种从非结构化语音中自动生成机器人动作的新框架。通过收集15名参与者在随机干扰的环境中坐在椅子上准备饭菜的数据,对拟议的框架进行了评估。当用户可能在进行不相关的对话时,系统可以识别并响应任务序列,即使用户的讲话可能是无结构的和语法错误的。该系统的准确率为98.6%,这是一个非常有希望的发现。
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引用次数: 0
Modeling of Body Pressure Distribution on Alternative Pressure Mattress 换压床垫上人体压力分布的建模
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10125654
Masamichi Kosuge, Masaki Takahashi
Recently, an alternative pressure mattress has been proposed to prevent pressure ulcers. In this study, we aim to design a control system for body pressure distribution using the mattress. This study focuses on modeling the dynamics between the body pressure distribution and the mattress. As modeling based on first principles is challenging, we identify the model from experimental data. However, when high-dimensional data such as body pressure distribution are directly used for identification, the model accuracy can deteriorate. Therefore, we need to determine the suitable model structure or dataset. Herein, we examined how the prediction accuracy of body pressure distribution varies with the dataset and model structure. We also proposed a method for representing the model as the dynamics of the parameters of the Gaussian Mixture Model to suppress the estimated parameters. To the best of our knowledge, this study is the first to propose the body pressure model as dynamics of the parameters of the Gaussian Mixture Model.
最近,人们提出了一种替代压力床垫来预防压力性溃疡。在这项研究中,我们的目的是设计一个控制系统的人体压力分布的床垫。本研究的重点是模拟人体压力分布与床垫之间的动态关系。由于基于第一性原理的建模具有挑战性,我们从实验数据中识别模型。然而,当直接使用人体压力分布等高维数据进行识别时,会降低模型的精度。因此,我们需要确定合适的模型结构或数据集。本文研究了人体压力分布的预测精度随数据集和模型结构的变化情况。我们还提出了一种将模型表示为高斯混合模型的动态参数来抑制估计参数的方法。据我们所知,这项研究是第一次提出身体压力模型作为高斯混合模型参数的动力学。
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引用次数: 0
Design and Implementation of a Locomotion Suspension System for a Desert Terrain UGV 沙漠地形UGV运动悬架系统的设计与实现
Pub Date : 2023-02-10 DOI: 10.1109/ICARA56516.2023.10125898
Thani Althani, Rufaidah Salim, Mohammed Minhas Anzil, P. Subramaniam, Khuloud Almaeeni, Amit Shukla
Unmanned ground vehicles (UGVs) are currently used to collect data and deliver payloads across industries. Most wheeled UGV implementations for uneven terrain are based on a combination of rocker and bogie. This paper proposes a variation of a suspension system for locomotion suitable for desert terrain. This variation is the transformation of the traditional inclined bogies parallel to the ground surface as the front of the rover, along with an additional transversal bogie as the rear of the robot. The design parameters, material selection, and fabrication process were performed to achieve the highest possible performance of the UGV in navigation on desert terrain. To test stability and obstacle climbing ability, experiments were carried out in desert terrain and concrete surfaces.
无人地面车辆(ugv)目前用于各行业收集数据和交付有效载荷。大多数轮式UGV实现的不平坦地形是基于摇臂和转向架的组合。本文提出了一种适用于沙漠地形的运动悬挂系统的改进方案。这种变化是对传统的平行于地面的倾斜转向架的改造,作为火星车的前部,以及一个额外的横向转向架作为机器人的后部。设计参数、材料选择和制造工艺都是为了实现UGV在沙漠地形导航中的最高性能。为了测试其稳定性和越障能力,在沙漠地形和混凝土表面进行了试验。
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引用次数: 0
期刊
2023 9th International Conference on Automation, Robotics and Applications (ICARA)
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