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A new fluid-driven soft robot hand in this study uses the idea of the bionics and has the anthropomorphic form, which is oriented to the flexible grasp function. The soft robot hand is composed of a new kind of multi-freedom soft finger and…

机器人学 · 计算机科学 2021-06-15 Haihang Wang , He Xu , Chen Yang , Xin Li , Siqing Chen

Soft robotic grippers are shown to be high effective for grasping unstructured objects with simple sensing and control strategies. However, they are still limited by their speed, sensing capabilities and actuation mechanism. Hence, their…

Although soft robots show safer interactions with their environment than traditional robots, soft mechanisms and actuators still have significant potential for damage or degradation particularly during unmodeled contact. This article…

机器人学 · 计算机科学 2022-08-03 Andrew P. Sabelhaus , Zach J. Patterson , Anthony T. Wertz , Carmel Majidi

This paper introduces a full system modeling strategy for a syringe pump and soft pneumatic actuators(SPAs). The soft actuator is conceptualized as a beam structure, utilizing a second-order bending model. The equation of natural frequency…

Soft actuators offer a safe, adaptable approach to tasks like gentle grasping and dexterous manipulation. Creating accurate models to control such systems however is challenging due to the complex physics of deformable materials. Accurate…

机器人学 · 计算机科学 2022-07-19 Manu Lahariya , Craig Innes , Chris Develder , Subramanian Ramamoorthy

Soft robots can execute tasks with safer interactions. However, control techniques that can effectively exploit the systems' capabilities are still missing. Differential dynamic programming (DDP) has emerged as a promising tool for…

机器人学 · 计算机科学 2023-06-06 Saroj Prasad Chhatoi , Michele Pierallini , Franco Angelini , Carlos Mastalli , Manolo Garabini

This paper is aimed at presenting a short survey of velocity-free control schemes for robot manipulators. A salient feature of this work is the implementation of this control schemes on a simulation model of the 3-DOF industrial PHANToM 1.5…

最优化与控制 · 数学 2018-12-20 Soulaimane Berkane

Variable stiffness actuator (VSA) designs are manifold. Conventional model-based control of these nonlinear systems is associated with high effort and design-dependent assumptions. In contrast, machine learning offers a promising…

系统与控制 · 电气工程与系统科学 2024-04-17 Tim-Lukas Habich , Sarah Kleinjohann , Moritz Schappler

Until recently, the concept of soft robot safety was an informal notion, often attributed solely to the fact that soft robots are less likely to damage their operating environment than rigid robots. As the field moves toward feedback…

机器人学 · 计算机科学 2025-09-30 Nicholas Pagliocca , Behrad Koohbor , Mitja Trkov

Control of soft robotic manipulators remains a challenge for designs with advanced capabilities and novel actuation. Two significant limitations are multi-axis, three-dimensional motion of soft bodies alongside actuator dynamics and…

机器人学 · 计算机科学 2024-10-28 Zach J. Patterson , Andrew P. Sabelhaus , Carmel Majidi

A key challenge in robotics is to create efficient methods for grasping objects with diverse shapes, sizes, poses, and properties. Grasping with hand-like end effectors often requires careful selection of hand orientation and finger…

机器人学 · 计算机科学 2019-12-17 Yufei Hao , Shantonu Biswas , Elliot Hawkes , Tianmiao Wang , Mengjia Zhu , Li Wen , Yon Visell

Robotic manipulation in unstructured environments requires end-effectors that combine high kinematic dexterity with physical compliance. While traditional rigid hands rely on complex external sensors for safe interaction, electrohydraulic…

Many soft-body organisms found in nature flourish underwater. Similarly, soft robots are potentially well-suited for underwater environments partly because the problematic effects of gravity, friction, and harmonic oscillations are less…

机器人学 · 计算机科学 2022-12-07 W. David Null , Y Z

Soft robotics is an attractive and rapidly emerging field, in which actuation is coupled with the elastic response of the robot's structure to achieve complex deformation patterns. A crucial challenge is the need for multiple control…

机器人学 · 计算机科学 2024-07-23 Geron Yamit , Ben-Haim Eran , Gat D. Amir , Or Yizhar , Givli Sefi

Object manipulation in robotics faces challenges due to diverse object shapes, sizes, and fragility. Gripper-based methods offer precision and low degrees of freedom (DOF) but the gripper limits the kind of objects to grasp. On the other…

机器人学 · 计算机科学 2025-09-01 Pratik Ingle , Kasper Støy , Andres Faiña

In recent years, soft robotics simulators have evolved to offer various functionalities, including the simulation of different material types (e.g., elastic, hyper-elastic) and actuation methods (e.g., pneumatic, cable-driven, servomotor).…

机器人学 · 计算机科学 2025-02-03 Etienne Ménager , Louis Montaut , Quentin Le Lidec , Justin Carpentier

In this article, we investigate the model based position control of soft hydraulic actuators arranged in an antagonistic pair. A dynamical model of the system is constructed by employing the port-Hamiltonian formulation. A control algorithm…

机器人学 · 计算机科学 2023-03-06 Mark Runciman , Enrico Franco , James Avery , Ferdinando Rodriguez y Baena , George Mylonas

Most robotic hands and grippers rely on actuators with large gearboxes and force sensors for controlling gripping force. However, this might not be ideal for tasks which require the robot to interact with an unstructured and/or unknown…

机器人学 · 计算机科学 2023-08-22 Jay Best

While its biological significance is well-documented, its application in soft robotics, particularly for the transport of fragile and irregularly shaped objects, remains underexplored. This study presents a modular soft robotic actuator…

机器人学 · 计算机科学 2024-12-11 Brian Ye , Zhuonan Hao , Priya Shah , Mohammad Khalid Jawed

Robotic hands with soft surfaces can perform stable grasping, but the high friction of the soft surfaces makes it difficult to release objects, or to perform operations that require sliding. To solve this issue, we previously developed a…

机器人学 · 计算机科学 2022-11-11 Seita Nojiri , Akihiko Yamaguchi , Yosuke Suzuki , Tokuo Tsuji , Tetsuyou Watanabe