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2023 IEEE International Conference on Soft Robotics (RoboSoft)最新文献

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Shape Sensing with Electrostatic Differential Capacitance for Ultrasound Imaging by Flexible Array Transducer 基于静电差分电容的柔性阵列超声成像形状传感
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10121984
Chisato Hojo, Hiroki Kawagishi, Hiroki Shigemune, Ryosuke Tsumura
Flexible ultrasound (US) transducer, which has a potential to fit various regions of human body for diagnosis, need to have its geometry accurately measured for US image reconstruction. This paper serves a shape sensing system with the electrostatic differential capacitance for the imaging with the flexible US transducer. The shape sensing system is composed of two strips as a pair, each end of which is fixed, and focuses on the relative shift between capacitance sensors embedded in the inner and outer strips when bending the sensing system. For increasing the capacitance, we applied a silicon oil to the sensor substrate and changed the size of electrodes. Experimental results showed that the estimation error was improved by the average of 52.8% when applying the silicon oil and the average of 10.4% by increasing the size of electrodes. Additionally, US simulation was performed for investigating the influence of image reconstruction due to the sensing error. The simulation results enabled to visualize all point targets and demonstrated the feasibility that the developed sensing system are applicable for the flexible US transducer.
柔性超声换能器具有适应人体不同部位诊断的潜力,但在超声图像重建中需要对其几何形状进行精确测量。本文设计了一种具有静电差分电容的形状传感系统,用于柔性US换能器的成像。该形状传感系统由两端固定的两条条带成对组成,并重点关注在弯曲传感系统时嵌入内外条带的电容传感器之间的相对位移。为了增加电容,我们在传感器衬底上涂了硅油,并改变了电极的尺寸。实验结果表明,应用硅油时,估计误差平均提高52.8%;增加电极尺寸时,估计误差平均提高10.4%。此外,为了研究感知误差对图像重建的影响,进行了US仿真。仿真结果表明,所开发的传感系统适用于柔性换能器,能够实现所有点目标的可视化。
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引用次数: 0
Development of a Monolithic Pneumatic Soft Actuator for Fruit Grasping* 一种用于水果抓取的单片气动软驱动器的研制*
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10122108
Federico Bernabei, Matteo Lo Preti, Seonggun Joe, L. Beccai
In soft grippers, deformable materials are crucial for safety and adaptability. However, materials alone are not enough to ensure a successful grip. Soft grippers are generally designed to exploit precision or power grasp but still show limited versatility in handling objects whose characteristics are widely different. This paper presents a soft gripper with a monolithic pneumatic artificial muscle (M-PAM) design. The monolithic approach prevents failure from delamination while it improves lifetime. Concurrently, adjustable finger distance and a foam interface improve stability during grasping. The resulting structure exerts a maximum force of 1.95 N and reaches a bending angle of 78.27° corresponding to a positive pressure of 18 kPa. Furthermore, an optimized geometry increases the contact area and grasping strength. A soft gripper integrating two M-PAMs is demonstrated grasping fruit with dimensions ranging from 0.5 to 65 mm.
在软爪中,可变形材料对安全性和适应性至关重要。然而,材料本身不足以确保成功的抓地力。软抓取器通常设计为利用精度或力量抓取,但在处理特征差异很大的物体时仍然显示有限的通用性。本文提出了一种采用单片气动人工肌肉(M-PAM)设计的柔性夹持器。单片方法防止了分层故障,同时提高了使用寿命。同时,可调节的手指距离和泡沫界面提高了抓取过程中的稳定性。在18 kPa的正压力下,结构的最大作用力为1.95 N,弯曲角为78.27°。此外,优化的几何形状增加了接触面积和抓握强度。一个软爪集成两个m - pam演示抓水果的尺寸范围从0.5到65毫米。
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引用次数: 0
Effects of lateral undulation in granular medium burrowing with a peristaltic soft robot 用蠕动式软机器人挖掘颗粒介质中横向波动的影响
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10122062
Riddhi Das, Saravana Prashanth Murali Babu, A. Mondini, B. Mazzolai
Lateral undulation is essential for limbless animals to interact with their environment and facilitate their travelling wave motion. The earthworm uses bending of its body and tip to reduce environmental compaction, anchor itself, and create space for burrowing. In this study, we designed and developed a burrowing soft robot for peristaltic locomotion by observing the lateral undulation behavior at the earthworm's anterior region. To achieve this, we utilized two different soft actuator modules. The tip modules performed lateral undulation and elongation, while the rest of the actuator modules facilitated axial elongation and passive contraction. We characterized the actuator's performance in terms of lateral bending angle, elongation displacement, and penetration force when the tip module interacted with granular media for three different cases: static, tip undulation, and tip elongation. Based on the findings of this characterization, we conducted locomotion experiments with three different gait patterns: tip undulation, tip undulation with elongation, and tip elongation, to evaluate the penetration force and behavior of the peristaltic soft robot when moving in granular media. The results show that tip undulation enhances the locomotory performance of the peristaltic soft robot.
横向波动是无肢动物与环境相互作用和促进行波运动所必需的。蚯蚓利用身体和尖端的弯曲来减少环境压实,锚定自己,并为挖洞创造空间。在本研究中,我们通过观察蚯蚓前侧区域的横向波动行为,设计并开发了一种用于蠕动运动的穴居软机器人。为了实现这一目标,我们使用了两个不同的软执行器模块。尖端模块进行横向波动和延伸,而其余的执行器模块促进轴向延伸和被动收缩。在三种不同的情况下,当尖端模块与颗粒介质相互作用时,我们根据横向弯曲角度、延伸位移和穿透力来表征执行器的性能:静态、尖端波动和尖端延伸。基于这一特性的发现,我们进行了三种不同步态模式的运动实验:尖端波动、尖端延伸波动和尖端延伸,以评估蠕动式软机器人在颗粒介质中移动时的穿透力和行为。结果表明,末端波动提高了蠕动式软机器人的运动性能。
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引用次数: 0
Evaluation and Comparison of Reversible Water Electrolysis as a Means for Pneumatic Actuation 可逆电解水作为气动驱动手段的评价与比较
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10122082
Kristan Hilby, P. Morice, M. Aling, Ian Hunter
This work presents an evaluation of reversible water electrolysis as a method for pneumatic actuation via the electrochemical decomposition of water into hydrogen and oxygen gas. In addition to a theoretical evaluation of the performance of electrochemically-driven pressurized hydrogen generation, pneumatic generation methods were experimentally tested across two axes: performance and compatibility. Through these experiments, the achievable pressure was shown to be at least 0.75 MPa gauge with a flow rate of 0.06 [L/min]. It was also determined that negligible losses were incurred due to switching from air to hydrogen. Despite low experimental round-trip efficiencies of 0.005%, the reversible electrolysis of water reaction was shown to be a feasible method for pneumatic actuation of soft robots, especially under scenarios where actuator bandwidth is not of concern.
这项工作提出了可逆水电解作为一种通过电化学分解水成氢气和氧气的气动驱动方法的评估。除了对电化学驱动加压制氢的性能进行理论评估外,还从性能和兼容性两个方面对气动制氢方法进行了实验测试。实验结果表明,当流量为0.06 [L/min]时,可达到的压力至少为0.75 MPa。还确定,从空气转向氢气所造成的损失可以忽略不计。尽管实验往返效率只有0.005%,但水反应的可逆电解被证明是一种可行的软机器人气动驱动方法,特别是在执行器带宽不受关注的情况下。
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引用次数: 0
Robo-Squid: Experimental investigation of pulsed jet propulsion based on magnetohydrodynamics 机器鱿鱼:基于磁流体力学的脉冲射流推进实验研究
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10121973
Saba Firouznia, Ciqun Xu, Hemma Philamore, J. Rossiter
As the interest in oceanic and marine technologies increases, there is a growing need to perform construction, maintenance and surveying in ever more complicated situations. Currently, most underwater robots have limitations including manoeuvring in tight spaces, entanglement with foreign objects, ecosystem disruption, and high acoustic noise. A novel pulsatile jet actuator using magnetohydrodynamics (MHD) is proposed to overcome these problems. In this system, there are no moving parts; hence mechanical noise, entanglement and potential ecosystem disruption are reduced significantly. The jet engine operates in, and exploits, the electrical and fluidic properties of seawater. The MHD pulse jet engine was experimentally characterized and maximal thrust generation was achieved by enforcing the optimal formation number. The thrust vortex rings generated were studied using particle image velocimetry in both pulsed flow and continuous flow. We successfully developed an untethered robot using a pulsatile MHD jet and demonstrated its effective movement in salt water. The MHD pulse jet is ideally suited to the next generation of autonomous soft robots for environmental monitoring and protection.
随着人们对海洋和海洋技术兴趣的增加,越来越需要在更加复杂的情况下进行建造、维修和测量。目前,大多数水下机器人都有局限性,包括在狭窄的空间中操作、与异物纠缠、生态系统破坏和高噪音。为了克服这些问题,提出了一种基于磁流体力学的脉冲射流执行器。在这个系统中,没有活动部件;因此,机械噪音,纠缠和潜在的生态系统破坏显著减少。喷气发动机在海水中工作,并利用海水的电气和流体特性。对MHD脉冲喷气发动机进行了实验表征,通过优化队数实现了最大推力。采用粒子图像测速技术对脉冲流和连续流条件下产生的推力涡环进行了研究。我们成功开发了一种使用脉冲MHD射流的无系绳机器人,并演示了其在盐水中的有效运动。MHD脉冲射流非常适合用于环境监测和保护的下一代自主软机器人。
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引用次数: 0
A Data-Driven Topology Optimization Framework for Designing Robotic Grippers 一种数据驱动的机械手拓扑优化设计框架
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10122000
Valerio Bo, Enrico Turco, Maria Pozzi, M. Malvezzi, D. Prattichizzo
A widespread methodology to enhance the design of robotic devices is represented by topology optimization. Typically, the optimization aims at designing a certain part of the robot to satisfy a priori, user-defined mechanical properties while minimizing the used material for building the structure. In this paper, we apply topology optimization to robotic grippers, and we propose to define the requirements for the optimization in a data-driven way based on simulated experiments of grasping tasks. Specifically, the architecture we propose is composed of three sequential phases. The input of the architecture includes the initial model of the gripper, the specific gripper component to be optimized, and a set of parameters. The first part of the architecture acquires force signals from the gripper component that are sensed during the grasping simulations. Hence, these signals are fed into the second phase, which analyzes the forces through pixel connectivity and Dynamic Time Warping algorithms and provides the instructions for the topology optimization. Ultimately, the third block performs the optimization. The method is tested by optimizing a specific part of a soft-rigid gripper. Results from simulation confirm that the proposed architecture provides an improved version of the original gripper, not only in terms of optimized use of materials but also in terms of grasp success rate.
以拓扑优化为代表的是提高机器人设备设计的一种广泛的方法。通常,优化的目的是设计机器人的某一部分,以满足先验的、用户自定义的力学性能,同时最大限度地减少建造结构所需的材料。本文将拓扑优化应用于机器人抓取任务,并基于抓取任务的模拟实验,提出以数据驱动的方式定义优化需求。具体来说,我们提出的体系结构由三个连续的阶段组成。该体系结构的输入包括夹持器的初始模型、需要优化的特定夹持器部件和一组参数。该结构的第一部分从抓手组件获取力信号,在抓手模拟过程中感知力信号。因此,这些信号被送入第二阶段,第二阶段通过像素连通性和动态时间翘曲算法分析力,并为拓扑优化提供指令。最后,第三块执行优化。通过优化软刚性夹持器的特定部分,对该方法进行了验证。仿真结果证实,所提出的结构提供了原始抓取器的改进版本,不仅在优化材料使用方面,而且在抓取成功率方面。
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引用次数: 0
A Soft Wearable Robot to Support Scapular Adduction and Abduction for Respiratory Rehabilitation 支持肩胛骨内收外展呼吸康复的软性可穿戴机器人
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10122123
Kosuke Isobe, Masakazu Hirokawa, Kenji Suzuki
This study proposes a soft wearable robot that supports scapular adduction and abduction to rehabilitate respiratory diseases. For the elderly, the decrease in the range of thorax movement due to aging increases the risk of respiratory diseases. Although adduction and abduction exercise of the scapula effectively improves the movement range of the respiratory muscles around the thorax, it is difficult for the elderly owing to reduced voluntary upper-arm mobility, and hence a physiotherapist's support is required. The proposed robot has a simple mechanism with a small degree of freedom that supports the elderly in stretching their thorax on their own at home. We first describe the design concept of the proposed soft robot with a shoulder brace with elastic components to constrain shoulder movement. Then, we conduct a pilot study to determine appropriate design parameters based on a therapist's kinematic analysis of the glenohumeral joint during the stretching. The evaluation experiment with eight healthy participants to validate the supporting function of the system is described. Hence, we confirm that the proposed system can provide scapular adduction and abduction movement similar to what physiotherapists provide.
本研究提出一种支持肩胛骨内收外展的软性可穿戴机器人,用于呼吸系统疾病的康复。对于老年人来说,由于年龄的增长,胸腔活动范围的减少增加了患呼吸系统疾病的风险。虽然肩胛骨内收外展运动能有效提高胸周围呼吸肌的活动范围,但由于上臂活动能力减弱,老年人很难做到这一点,因此需要物理治疗师的支持。这款机器人有一个简单的机构,自由度很小,可以帮助老年人在家里自己伸展胸部。本文首先描述了柔性机器人的设计概念,该柔性机器人采用带弹性构件的肩撑来约束肩部运动。然后,我们进行了一项初步研究,以确定适当的设计参数,该参数基于治疗师在拉伸期间对盂肱关节的运动学分析。描述了8名健康参与者的评估实验,以验证系统的支持功能。因此,我们确认所建议的系统可以提供类似于物理治疗师提供的肩胛骨内收和外展运动。
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引用次数: 0
Variable Length-Angle and Stiffness Joint Mechanism that Enables Extension, Contraction and Rotation Elements by S-shape Folded Flat Tube 利用s形折叠扁管实现伸缩和旋转元件的变长角和变刚度连接机构
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10121938
Kagetora Takahashi, K. Tadakuma, M. Watanabe, Kazuki Abe, S. Tadokoro
In recent years, the need for a variable stiffness mechanism to control the stiffness of a robot structure has been observed in soft robotics. There are various stiffness methods, and various linear mechanisms have been proposed to achieve extension, contraction, bending, and joint rotation of each method. However, to the best of our knowledge, no linear mechanism with variable stiffness in the two axes of extension, contraction, and joint rotation. This is because, in the conventional variable stiffness method, the air tube of the pneumatic actuator encased in the structure cannot maintain the desired shape under pressure due to wrinkling and buckling that occur when the air tube is deformed in response to the extension, contraction, and joint rotation of the structure. Therefore, it was necessary to develop a new method of encasing the air tube. The mechanism proposed in this study is to bend the flat tube that serves as the flow path into an S-shape to achieve extension, contraction and joint rotation, and to apply internal pressure to make the stiffness variable. Using a prototype based on this original principle, we confirmed the performance of switching stiffness in conjunction with extension, contraction and joint rotation. Experiments measuring the holding force during extension, contraction and the holding torque during joint rotation revealed that the holding force and holding torque were highly dependent on the pressure-receiving area between the mechanism and the S-shaped folded flat tube. In the future, we aim to apply this mechanism to a posture holding assist.
近年来,在软机器人技术中,需要一种可变刚度机构来控制机器人结构的刚度。有各种各样的刚度方法,并且提出了各种线性机构来实现每种方法的伸展、收缩、弯曲和关节旋转。然而,据我们所知,在伸展、收缩和关节旋转两轴上没有线性变刚度机构。这是因为,在传统的变刚度方法中,由于空气管在响应结构的伸展、收缩和关节旋转时发生变形,导致空气管在压力下不能保持期望的形状。因此,有必要开发一种新的封装气管的方法。本文提出的机制是将作为流道的扁管弯曲成s形,实现伸缩和关节旋转,并施加内压使刚度可变。利用基于这一原始原理的原型,我们证实了切换刚度与伸展、收缩和关节旋转结合的性能。实验测量了机构在伸展、收缩时的持力和关节旋转时的持力力矩,结果表明机构的持力和持力力矩高度依赖于机构与s型折叠扁平管之间的受压面积。在未来,我们的目标是将这种机制应用于姿势保持辅助。
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引用次数: 0
3D Kinematics and Quasi-Statics of a Growing Robot Eversion 生长机器人版本的三维运动学和准静力学
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10122073
Flavie Przybylski, Yinoussa Adagolodjo, Anna Mîra, Giulio Cerruti, Jérémie Dequidt, C. Duriez, Pierre Berthet-Rayne
Growing robots and their eversion principle have wide applications ranging from surgery to industrial inspection and archaeology. The eversion process involves deploying an inflatable device with a material located at the tip of the robot, which, when under pressure, elongates the robot's body. However, the simulation of this complex kinematic phenomenon is a significant challenge. Our approach proposes to use a combination of kinematics and quasi-static modeling to parameterize the starting conditions of the eversion process. This facilitates the understanding of the behavior of this complex kinematic phenomenon and help identify factors that have a significant impact on the eversion process and its response to external factors. The kinematic model uses the Cosserat rod models for local coordinates, while the quasi-static model is based on finite element analysis. The two models are combined to capture the behavior of the robot tip during eversion. This approach has been implemented and tested using the SOFA framework and has been evaluated on the deployment of a vine robot on a narrow passage. The results of our approach are encouraging to better understand the behaviour of soft growing robot during eversion.
生长机器人及其旋转原理有着广泛的应用,从外科手术到工业检测和考古。伸缩过程包括在机器人的尖端放置一个充气装置,当受到压力时,该装置会拉长机器人的身体。然而,这种复杂的运动现象的模拟是一个重大的挑战。我们的方法建议使用运动学和准静态建模的组合来参数化演化过程的起始条件。这有助于理解这种复杂运动现象的行为,并有助于识别对外翻过程及其对外部因素的响应有重大影响的因素。运动学模型采用Cosserat杆模型作为局部坐标,准静态模型基于有限元分析。将这两个模型结合起来,捕捉机器人尖端在弯曲过程中的行为。这种方法已经使用SOFA框架进行了实施和测试,并通过在狭窄通道上部署藤蔓机器人进行了评估。我们的方法的结果是鼓舞人心的,以更好地了解软生长机器人的行为在版本。
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引用次数: 0
Dynamic model of an online programmable textile soft actuator 在线可编程纺织软驱动器的动态模型
Pub Date : 2023-04-03 DOI: 10.1109/RoboSoft55895.2023.10121944
Ludwig Dellinger, John Nassour, Gordon Cheng
Soft actuators exhibiting versatile behaviors have potential applications in robotics. This paper proposes kinematics, kinetics, and dynamic models of an online-programmable soft actuator. The actuator is composed of four strings and an inflatable textile tube folded inside a housing structure. Each string is controlled by a single DC motor which has an optical encoder. Pulling a string produces bending in one direction, while pulling the four strings in a coordinated manner produces additional motions. With the proposed forward and inverse kinematic model, the actuator was able to follow a desired end-effector trajectory in the Cartesian space. Furthermore, due to the dynamic model, our simulation study shows that the soft actuator can handle external force changes at the end-effector, such as mass changes and friction forces.
表现出多种行为的软驱动器在机器人技术中具有潜在的应用前景。本文提出了在线可编程软执行器的运动学、动力学和动力学模型。执行器由四根弦和折叠在外壳结构内的充气纺织管组成。每根弦都由一个带有光学编码器的直流电机控制。拉一根管柱会产生一个方向的弯曲,而以协调的方式拉四根管柱会产生额外的运动。利用所提出的正运动学和逆运动学模型,执行器能够在笛卡尔空间中遵循期望的末端执行器轨迹。此外,由于动力学模型,我们的仿真研究表明,软执行器可以处理末端的外力变化,如质量变化和摩擦力。
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引用次数: 0
期刊
2023 IEEE International Conference on Soft Robotics (RoboSoft)
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