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Computer vision-based visualization and quantification of body skeletal movements for investigation of traditional skills: the production of Kizumi winnowing baskets 基于计算机视觉的身体骨骼运动可视化和量化,用于传统技艺研究:Kizumi 绞篮的制作
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-17 DOI: 10.1186/s40648-024-00280-4
Peng Yang, Yuka Furukawa, Migiwa Imaishi, Mitsunori Kubo, Akira Ueda
This paper explores the application of computer vision and mathematical modeling to analyze the intricate movements involved in weaving a traditional farming tool, the winnowing basket. By utilizing OpenPose algorithms, the study simplifies and visualizes the craftsmen's motions, particularly focusing on wrist movements. Video data of craftsmen in Chiba, Japan, creating Kizumi (place name) winnowing baskets is used as the basis for analysis. The extracted information is used to generate 2D motion trajectories of the wrist, allowing a comparison between beginners who watched parsed videos and those who watched the original videos in terms of skill acquisition and learning time. By visualizing human body behavior and combining statistical results, this study demonstrates the potential of artificial intelligence techniques such as computer vision for observing repetitive human movement and inheriting traditional skills.
本文探讨了计算机视觉和数学建模在分析传统农具簸箕编织过程中复杂动作中的应用。通过使用 OpenPose 算法,该研究简化并可视化了工匠的动作,尤其是手腕动作。日本千叶县工匠制作 Kizumi(地名)簸箕的视频数据被用作分析的基础。提取的信息用于生成手腕的二维运动轨迹,从而可以比较观看解析视频的初学者和观看原始视频的初学者在技能掌握和学习时间方面的差异。通过将人体行为可视化并结合统计结果,本研究展示了计算机视觉等人工智能技术在观察人体重复动作和继承传统技能方面的潜力。
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引用次数: 0
Measuring unit for synchronously collecting air dose rate and measurement position 同步采集空气剂量率和测量位置的测量装置
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-04 DOI: 10.1186/s40648-024-00279-x
Kuniaki Kawabata, Takashi Imabuchi, Norihito Shirasaki, Soichiro Suzuki, Rintaro Ito, Yuto Aoki, Takazumi Omori
This paper describes a measuring unit for synchronously collecting the air dose rate and measurement position for efficient dosimetry surveying and data logging. The developed prototype comprises a three-dimensional light detection and ranging-based mapping part and dosimetry part, which are integrated into a single measuring unit through an embedded computer that installs a ROS (robot operating system) framework. The unit can function as a standalone system with embedded batteries. Since it is portable, on-line data gathering in the workspace can be realized, thereby maintaining consistency between the air dose rate and measurement position. In this paper, we describe the functional requirements for the measuring unit, the prototype system configuration, and the experimental results obtained in the mockup environment and nuclear facility to discuss its performance.
本文介绍了一种同步采集空气剂量率和测量位置的测量装置,用于高效的剂量测定测量和数据记录。开发的原型包括基于三维光探测和测距的绘图部分和剂量测定部分,这两个部分通过安装了 ROS(机器人操作系统)框架的嵌入式计算机集成到一个测量单元中。该装置可作为带嵌入式电池的独立系统运行。由于它是便携式的,因此可以在工作区实现在线数据采集,从而保持空气剂量率和测量位置之间的一致性。本文介绍了测量单元的功能要求、原型系统配置,以及在模拟环境和核设施中获得的实验结果,以讨论其性能。
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引用次数: 0
Length control of a McKibben pneumatic actuator using a dynamic quantizer 使用动态量化器对麦基本气动执行器进行长度控制
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-05-02 DOI: 10.1186/s40648-024-00276-0
Yasuhiro Sugimoto, Keisuke Naniwa, Daisuke Nakanishi, Koichi Osuka
McKibben pneumatic actuators (MPAs) are soft actuators that exert tension by applying compressed air to expand a rubber tube. Although electro-pneumatic regulators can control air pressure, most are large and expensive. This study utilizes a dynamic quantizer to control the MPA with a small solenoid valve that can only open and close the valve instead of an electro-pneumatic regulator. A dynamic quantizer is one of the quantizers that converts continuous signals to discrete signals. Our previous study confirmed that tension control of MPA under isometric conditions could be realized using a dynamic quantizer. However, it is often necessary to control the length of the MPA as well as the tension of the MPA. This study implements a dynamic quantizer to control the length of the MPA with a small solenoid valve. Numerical simulations and experimental tests verify the effectiveness of the proposed method. The results of the numerical simulations and experimental tests confirmed that the length of the MPA can be controlled using the dynamic quantizer.
麦基本气动执行器(MPA)是一种软执行器,通过压缩空气膨胀橡胶管来施加张力。虽然电动气动调节器可以控制气压,但大多体积庞大、价格昂贵。本研究利用动态量化器来控制 MPA,用一个只能打开和关闭阀门的小型电磁阀来代替电动气动调节器。动态量化器是将连续信号转换为离散信号的量化器之一。我们之前的研究证实,使用动态量化器可以实现等距条件下 MPA 的张力控制。然而,通常需要控制 MPA 的长度以及 MPA 的张力。本研究利用一个小型电磁阀实现了动态量化器对 MPA 长度的控制。数值模拟和实验测试验证了所提方法的有效性。数值模拟和实验测试的结果证实,使用动态量化器可以控制 MPA 的长度。
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引用次数: 0
Interactive driving of electrostatic film actuator by proximity motion of human body 人体近距离运动对静电薄膜致动器的交互式驱动
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-04-15 DOI: 10.1186/s40648-024-00275-1
Akira Okuno, Shunsuke Yoshimoto, Akio Yamamoto
A built-in capacitive proximity sensing method for a charge-induction electrostatic film actuator is proposed. This actuator consists of two thin sheets that function as a stator and a slider. A stator is an insulating sheet with many strips of electrodes in it, whereas a slider is a dielectric sheet that has slight conductivity on its surface. By applying actuation voltage on stator electrodes, the slider that is placed on the stator is driven by electrostatic force. This research realized the simultaneous actuation and proximity sensing using the same electrodes by integrating a resonance-based capacitance measurement circuit into a driving circuit. The study investigated the impact of having a slider on sensing performance, confirming the feasibility of simultaneous sensing and driving. The implemented system achieved an interactive actuation that changed driving velocity according to the proximity distance of the human hand.
本文提出了一种电荷感应静电薄膜致动器的内置电容式接近感应方法。这种致动器由作为定子和滑块的两片薄片组成。定子是一块绝缘薄片,上面有许多电极条,而滑块是一块介电薄片,表面有轻微的导电性。通过在定子电极上施加致动电压,置于定子上的滑块就会受到静电力的驱动。这项研究通过将基于谐振的电容测量电路集成到驱动电路中,实现了使用同一电极同时驱动和近距离感应。研究调查了滑块对传感性能的影响,证实了同时传感和驱动的可行性。实施的系统实现了交互式驱动,可根据人手的接近距离改变驱动速度。
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引用次数: 0
Development and flight-test verification of two-dimensional rotational low-airspeed sensor for small helicopters 小型直升机二维旋转低空速度传感器的开发和试飞验证
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-04-09 DOI: 10.1186/s40648-024-00274-2
Daigo Fujiwara, Takumi Tonoike
This paper describes the development and the verification of flight test results of a differential pressure-based, two-dimensional low-airspeed sensor designed for the navigation or disturbance detection in small helicopters. The compact and lightweight sensor is integrated with the main rotor of a small helicopter and comprises two probes at both arm ends, a differential pressure sensor, rotary encoder with one magnet and two sensors, microcomputer, a wireless data link, and battery. It measures the differential pressure between the total pressures captured by two total-pressure probes at each rotor angle, instead of using static pressure probes. Thus, the airspeed of the fuselage can be evaluated from the low speed. Flight tests were conducted employing a reference ultrasonic two-dimensional airspeed sensor for comparison. The results demonstrated that the magnitude error of the airspeed is less than 2 m/s for low-airspeed flights ( $$
本文介绍了为小型直升机导航或干扰检测而设计的基于压差的二维低转速传感器的开发和飞行测试结果验证。该传感器结构紧凑、重量轻,与小型直升机的主旋翼集成在一起,由两个位于旋翼两端的探头、压差传感器、带一块磁铁和两个传感器的旋转编码器、微电脑、无线数据链和电池组成。它测量两个总压探头在每个旋翼角度捕捉到的总压之间的压差,而不是使用静压探头。因此,可以根据低速来评估机身的空速。为进行比较,使用了一个参考超声波二维空速传感器进行了飞行测试。结果表明,在使用皮托管型探头时,低速飞行($$
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引用次数: 0
Tactile sensor-less fingertip contact detection and force estimation for stable grasping with an under-actuated hand 无需触觉传感器的指尖接触检测和力估算,实现动力不足手的稳定抓取
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-04-05 DOI: 10.1186/s40648-024-00273-3
Ha Thang Long Doan, Hikaru Arita, Kenji Tahara
Detecting contact when fingers are approaching an object and estimating the magnitude of the force the fingers are exerting on the object after contact are important tasks for a multi-fingered robotic hand to stably grasp objects. However, for a linkage-based under-actuated robotic hand with a self-locking mechanism to realize stable grasping without using external sensors, such tasks are difficult to perform when only analyzing the robot model or only applying data-driven methods. Therefore, in this paper, a hybrid of previous approaches is used to find a solution for realizing stable grasping with an under-actuated hand. First, data from the internal sensors of a robotic hand are collected during its operation. Subsequently, using the robot model to analyze the collected data, the differences between the model and real data are explained. From the analysis, novel data-driven-based algorithms, which can overcome noted challenges to detect contact between a fingertip and the object and estimate the fingertip forces in real-time, are introduced. The proposed methods are finally used in a stable grasp controller to control a triple-fingered under-actuated robotic hand to perform stable grasping. The results of the experiments are analyzed to show that the proposed algorithms work well for this task and can be further developed to be used for other future dexterous manipulation tasks.
检测手指接近物体时的接触情况以及估计接触后手指对物体施加的力的大小,是多指机械手稳定抓取物体的重要任务。然而,对于具有自锁机构的基于联动的欠动机械手来说,要在不使用外部传感器的情况下实现稳定抓取,仅分析机器人模型或仅应用数据驱动方法很难完成这些任务。因此,本文采用了一种混合前人方法的方法来寻找实现欠动手稳定抓取的解决方案。首先,在机械手运行过程中收集其内部传感器的数据。随后,利用机器人模型对收集到的数据进行分析,解释模型与真实数据之间的差异。通过分析,介绍了基于数据驱动的新型算法,该算法可以克服检测指尖与物体之间的接触以及实时估算指尖力方面的挑战。最后将所提出的方法用于稳定抓取控制器,以控制三指欠动机械手进行稳定抓取。实验结果分析表明,所提出的算法在这项任务中运行良好,并可进一步开发用于未来的其他灵巧操纵任务。
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引用次数: 0
A ball-jointed tendon-driven continuum robot with multi-directional operability for grasping objects 可多方位抓取物体的球关节腱驱动连续机器人
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-03-26 DOI: 10.1186/s40648-024-00272-4
Ryo Onose, Hideyuki Sawada
A continuum robot, inspired by biological features, flexibly bends its body and conforms to various shapes. The high compliance and low stiffness, however, causes low rigidity and ambiguity in control when it is applied to grasping and manipulating an object. In this study, we develop a ball-jointed tendon-driven continuum robot that can bend to arbitrary directions for manipulating and grasping an object. Discs are connected by ball joints, together with coil springs coupled with tendon threads, and form a backbone of the robotic body. The continuum robot is operated to bend to an arbitrary direction by pulling the tendons using three servomotors, and returns to the original straight shape by releasing the pulling force of the contracted coil springs. The robot is constructed by using 3D-printed parts. In the experiment, the ability of the multi-directional operation was tested by bending the continuum body to specific directions, and then performing arc-following motion. Furthermore, the manipulator's grasping performance was demonstrated by preparing five objects that have various shapes, sizes, and softness. The robot successfully grasped all the objects by wrapping around them and adapting its shape to the object's shapes. The experiments verified the satisfactory operability of the continuum robot.
连续体机器人受生物特征启发,可灵活弯曲身体并适应各种形状。然而,高顺应性和低刚度使其在抓取和操纵物体时刚性较低,控制不明确。在这项研究中,我们开发了一种球关节肌腱驱动的连续机器人,它可以向任意方向弯曲,以操纵和抓取物体。圆盘通过球形关节连接,加上螺旋弹簧和腱线,构成了机器人身体的主干。通过使用三个伺服电机拉动腱线,连续机器人可向任意方向弯曲,并在释放收缩螺旋弹簧的拉力后恢复到原来的直线形状。该机器人由三维打印部件制成。在实验中,通过将连续体向特定方向弯曲,然后进行弧形追随运动,测试了多方向操作的能力。此外,还通过准备五个形状、大小和软硬度各异的物体来展示机械手的抓取性能。机器人通过缠绕物体并根据物体的形状调整自己的形状,成功地抓取了所有物体。实验验证了连续机器人令人满意的可操作性。
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引用次数: 0
Automatic grasp planning for self-adjustable gripper frames 自动调整抓取框架的抓取规划
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-03-02 DOI: 10.1186/s40648-024-00271-5
Jeroen Cramer, Martijn Cramer, Karel Kellens
In high-mix, low-volume manufacturing, end-of-arm tooling (EOAT) must be able to handle various products. Conventional EOATs usually comprise fixed or limited-adjustable frames (i.e. manually or using short-stroke pistons) over-equipped with multiple grippers, which are selectively activated based on the product to be grasped. This paper presents a smart gripper frame equipped with only four grippers capable of automatically adjusting to a product’s unique geometry. To this end, a two-dimensional grasp planner has been developed that is supplied with product contours from depth images. The proposed approach has been successfully validated in multiple industrial use cases involving objects with different dimensions and materials, and applying various grippers.
在多品种、小批量的生产过程中,末端工装(EOAT)必须能够处理各种产品。传统的 EOAT 通常由固定或有限可调框架(即手动或使用短行程活塞)组成,上面配备多个夹具,可根据要抓取的产品有选择地启动。本文介绍了一种仅配备四个机械手的智能机械手框架,能够根据产品的独特几何形状进行自动调节。为此,我们开发了一个二维抓取规划器,该规划器可根据深度图像提供产品轮廓。所提出的方法已在多个工业应用案例中成功验证,这些案例涉及不同尺寸和材料的物体,并应用了各种抓手。
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引用次数: 0
The Emergency Braking Game: a game theoretic approach for maneuvering in a dense crowd of pedestrians 紧急制动游戏:在密集行人群中进行机动的博弈论方法
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-02-23 DOI: 10.1186/s40648-023-00266-8
János Szőts, Zoltán Gyenes, Emese Gincsainé Szádeczky-Kardoss, Ladislau Bölöni, István Harmati
We introduce an algorithm that maneuvers a vehicle through an area with randomly moving pedestrians. In non-critical situations, our strategy is to avoid pedestrians by steering, whereas dangerously moving pedestrians are avoided by braking, possibly coming to a complete stop. The distinction between non-critical and dangerous situations, as well as proof of safety, is based on a continuous optimization problem that we define. In this abstract problem, called Emergency Braking Game, one pedestrian is actively trying to collide with a continuously decelerating car. We show how to determine the outcome of the game based on the initial states of the car and the pedestrian. Using this information, our algorithm can initiate deceleration in the real scenario in time to avoid collision. The method’s safety is proven theoretically, and its efficiency is shown in simulations with randomly moving pedestrians.
我们引入了一种算法,该算法可操控车辆通过一个有随机移动行人的区域。在非关键情况下,我们的策略是通过转向避开行人,而在危险情况下,则通过制动避开行人,甚至完全停止。非关键情况和危险情况之间的区别以及安全性的证明都是基于我们定义的一个连续优化问题。在这个名为 "紧急制动博弈 "的抽象问题中,一名行人正积极试图与一辆持续减速的汽车相撞。我们展示了如何根据汽车和行人的初始状态来确定博弈结果。利用这些信息,我们的算法可以在真实场景中及时启动减速以避免碰撞。我们从理论上证明了该方法的安全性,并在随机移动行人的模拟中展示了该方法的效率。
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引用次数: 0
Experimental assessment and prediction of design parameter influences on a specific vacuum-based granular gripper 对特定真空颗粒抓取机设计参数影响的实验评估和预测
IF 1.4 Q3 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-01-05 DOI: 10.1186/s40648-023-00270-y
Christian Wacker, Niklas Dierks, Arno Kwade, Klaus Dröder
Innovative soft robotic grippers, such as granular grippers, enable the automated handling of a wide spectrum of different geometries, increasing the flexibility and robustness of industrial production systems. Granular grippers vary in their design as well as in their configuration, which affects the specific characteristics and capabilities regarding grippable objects. Relevant aspects are the selection of granulates and membranes, as they affect the deformability. This influences the achievable gripping forces, which vary with the gripped objects geometry. On the basis of experimental studies, the modeling of interpolations as well as through experimental validations, the present research investigates the influences of different configurations on the achievable gripping forces for a specific concept of an innovative vacuum-based granular gripper. Specifically, the focus lies on design as well as configuration parameters, which could influence the achievable gripping force. Influencing parameters are determined based on a literature review of similar gripping concepts. Various adjustment possibilities are identified, such as materials of granulates or membranes. The possible configuration options are experimentally analyzed with a one-factor-at-a-time approach. The possibility of modelling the effects of their interrelations on the achievable gripping force is examined with approaches for linear models and compared to interpolations based on Machine Learning. Especially the granulate filling level and the membrane configuration exhibit the largest influences, which were best predicted with the approach based on artificial neural networks. A selection of an optimized gripper configuration for a specified object set as well as possible further developments such as a continuous expandability of the approaches and integrations with simulations are discussed. As a result of these analyses, this research provides methodologies for an optimized selection of a gripper configuration for an improved object-specific achievable gripping force and allows for more efficient handling processes with the examined type of vacuum-based granular gripper.
创新型软机械手(如颗粒机械手)能够自动处理各种不同的几何形状,提高了工业生产系统的灵活性和坚固性。颗粒机械手的设计和配置各不相同,这影响了可抓取物体的具体特性和能力。相关方面包括颗粒和薄膜的选择,因为它们会影响变形能力。这会影响可实现的抓取力,而抓取力又会随被抓取物体的几何形状而变化。在实验研究、插值建模以及实验验证的基础上,本研究调查了不同配置对基于真空的创新颗粒抓取器特定概念的可实现抓取力的影响。具体来说,重点在于可能影响可实现抓取力的设计和配置参数。影响参数是根据类似抓取概念的文献综述确定的。确定了各种调整的可能性,例如颗粒或薄膜的材料。采用一次一因素的方法对可能的配置选项进行了实验分析。使用线性模型的方法对其相互关系对可实现抓取力的影响进行建模的可能性进行了研究,并与基于机器学习的内插方法进行了比较。特别是颗粒填充水平和膜配置的影响最大,而基于人工神经网络的方法对其进行了最佳预测。此外,还讨论了针对特定对象集选择优化的机械手配置,以及可能的进一步发展,如方法的持续扩展性和与模拟的集成。通过这些分析,本研究提供了优化选择机械手配置的方法,以提高特定物体的可实现抓取力,并使所研究的真空颗粒机械手类型的处理过程更加高效。
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引用次数: 0
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