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3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/mcs.2023.3253359
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引用次数: 0
From Outreach to Inreach [President’s Message] 从外联到深入[总统致辞]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/mcs.2023.3253355
M. Egerstedt
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引用次数: 0
Niklas Karlsson [People in Control] Niklas Karlsson
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/mcs.2023.3253405
N. Karlsson
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引用次数: 0
Fractional Order Control of Continuum Soft Robots: Combining Decoupled/Reduced-Dynamics Models and Robust Fractional Order Controllers for Complex Soft Robot Motions 连续软机器人的分数阶控制:结合解耦/约化动力学模型和鲁棒分数阶控制器的复杂软机器人运动
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/MCS.2023.3253420
C. Monje, Bastian Deutschmann, Jorge Muñoz, C. Ott, C. Balaguer
Continuum soft robots are made up of soft material components (referred to as continuum), rigid components, actuators, and sensors. By structurally deforming the continuum, a motion of the entire system is initiated. To capture the interaction of the actuators on the soft material deformation and the corresponding sensor readings, mathematical models involving geometrical, material, and inertia parameters of the physical system must be set up to predict its complex physical behavior.
连续体软机器人由软材料部件(简称连续体)、刚性部件、执行器和传感器组成。通过在结构上使连续体变形,启动了整个系统的运动。为了捕捉致动器对软材料变形的相互作用和相应的传感器读数,必须建立涉及物理系统的几何、材料和惯性参数的数学模型,以预测其复杂的物理行为。
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引用次数: 2
Book Announcements [Bookshelf] 图书公告〔书架〕
3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/mcs.2023.3254829
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引用次数: 0
Anastasia Bizyaeva [PhDs in Control] Anastasia Bizyaeva[控制博士]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/mcs.2023.3253439
Anastasia S. Bizyaeva
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引用次数: 0
Robust Performance? Resilient Safety! [From the Editor] 强劲的性能?有弹性的安全![来自编辑]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/mcs.2023.3253308
R. Sepulchre
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引用次数: 0
Hector Ramirez [People in Control] 赫克托·拉米雷斯[掌控的人]
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/mcs.2023.3253406
Hector Ramirez
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引用次数: 0
Learning-Based Control Strategies for Soft Robots: Theory, Achievements, and Future Challenges 基于学习的软机器人控制策略:理论、成就和未来挑战
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/MCS.2023.3253421
Cecilia Laschi, T. G. Thuruthel, Fumiya Lida, R. Merzouki, E. Falotico
In the last few decades, soft robotics technologies have challenged conventional approaches by introducing new, compliant bodies to the world of rigid robots. These technologies and systems may enable a wide range of applications, including human–robot interaction and dealing with complex environments. Soft bodies can adapt their shape to contact surfaces, distribute stress over a larger area, and increase the contact surface area, thus reducing impact forces.
在过去的几十年里,软机器人技术通过将新的柔顺体引入刚性机器人世界,挑战了传统方法。这些技术和系统可以实现广泛的应用,包括人机交互和处理复杂环境。软体可以使其形状适应接触表面,将应力分布在更大的区域,并增加接触表面积,从而减少冲击力。
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引用次数: 2
Meeko Oishi [People in Control] Meeko Oishi
IF 5.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-06-01 DOI: 10.1109/mcs.2023.3253404
Meeko Oishi
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引用次数: 0
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