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This paper presents the design, control, and applications of a multi-segment soft robotic arm. In order to design a soft arm with large load capacity, several design principles are proposed by analyzing two kinds of buckling issues, under…

机器人学 · 计算机科学 2020-07-09 Hao Jiang , Zhanchi Wang , Yusong Jin , Xiaotong Chen , Peijin Li , Yinghao Gan , Sen Lin , Xiaoping Chen

Robotic arms are highly common in various automation processes such as manufacturing lines. However, these highly capable robots are usually degraded to simple repetitive tasks such as pick-and-place. On the other hand, designing an optimal…

机器人学 · 计算机科学 2024-01-31 Inbar Meir , Avital Bechar , Avishai Sintov

Soft robots promise inherent safety via their material compliance for seamless interactions with humans or delicate environments. Yet, their development is challenging because it requires integrating materials, geometry, actuation, and…

Dynamic motions are a key feature of robotic arms, enabling them to perform tasks quickly and efficiently. Soft continuum manipulators do not currently consider dynamic parameters when operating in task space. This shortcoming makes…

机器人学 · 计算机科学 2022-10-19 Oliver Fischer , Yasunori Toshimitsu , Amirhossein Kazemipour , Robert K. Katzschmann

Soft robots offer more flexibility, compliance, and adaptability than traditional rigid robots. They are also typically lighter and cheaper to manufacture. However, their use in real-world applications is limited due to modeling challenges…

Operating robots precisely and at high speeds has been a long-standing goal of robotics research. Balancing these competing demands is key to enabling the seamless collaboration of robots and humans and increasing task performance. However,…

The robotics community has seen an exponential growth in the level of complexity of the theoretical tools presented for the modeling of soft robotics devices. Different solutions have been presented to overcome the difficulties related to…

机器人学 · 计算机科学 2022-10-05 Costanza Armanini , Frédéric Boyer , Anup Teejo Mathew , Christian Duriez , Federico Renda

Task-driven design of soft robots requires models that are physically accurate and computationally efficient, while remaining transferable across actuator designs and task scenarios. However, existing modeling approaches typically face a…

机器人学 · 计算机科学 2026-03-23 Yao Yao , David Howard , Perla Maiolino

Mechanical compliance is a key design parameter for dynamic contact-rich manipulation, affecting task success and safety robustness over contact geometry variation. Design of soft robotic structures, such as compliant fingers, requires…

机器人学 · 计算机科学 2025-09-15 Richard Matthias Hartisch , Alexander Rother , Jörg Krüger , Kevin Haninger

Compared to traditional rigid robotics, soft robotics has attracted increasing attention due to its advantages as compliance, safety, and low cost. As an essential part of soft robotics, the soft robotic gripper also shows its superior…

机器人学 · 计算机科学 2021-12-30 Xing Wang , Hanwen Kang , Hongyu Zhou , Wesley Au , Chao Chen

High-performance closed-loop control of truly soft continuum manipulators has remained elusive. Experimental demonstrations have largely relied on sufficiently stiff, piecewise architectures in which each actuated segment behaves as a…

机器人学 · 计算机科学 2026-04-14 Vito Daniele Perfetta , Daniel Feliu-Talegon , Ebrahim Shahabi , Cosimo Della Santina

For soft robots to work effectively in human-centered environments, they need to be able to estimate their state and external interactions based on (proprioceptive) sensors. Estimating disturbances allows a soft robot to perform desirable…

We present an interactive, computational design system for creating custom robotic arms given high-level task descriptions and environmental constraints. Various task requirements can be encoded as desired motion trajectories for the robot…

机器人学 · 计算机科学 2018-06-21 Ruta Desai , Margarita Safonova , Katharina Muelling , Stelian Coros

Continuum arms, such as trunk and tentacle robots, lie between the two extremities of rigid and soft robots and promise to capture the best of both worlds in terms of manipulability, dexterity, and compliance. This paper proposes a new…

机器人学 · 计算机科学 2019-07-16 Ali A. Nazari , Diego Castro , Isuru S. Godage

Soft robotic manipulators are attractive for a range of applications such as medical interventions or industrial inspections in confined environments. A myriad of soft robotic manipulators have been proposed in the literature, but their…

In this article, the control problem of one section pneumatically actuated soft robotic arm is investigated in detail. To date, extensive prior work has been done in soft robotics kinematics and dynamics modeling. Proper controller designs…

机器人学 · 计算机科学 2021-10-12 Milad Azizkhani , Isuru S. Godage , Yue Chen

The 'infinite' passive degrees of freedom of soft robotic arms render their control especially challenging. In this paper, we leverage a previously developed model, which drawing equivalence of the soft arm to a series of universal joints,…

机器人学 · 计算机科学 2022-03-16 Zhanchi Wang , Gaotian Wang , Xiaoping Chen , Nikolaos M. Freris

Soft robots are distinguished by their flexibility and adaptability, allowing them to perform nearly impossible tasks for rigid robots. However, controlling their behavior is challenging due to their nonlinear material response and infinite…

机器人学 · 计算机科学 2025-05-14 Juan C. Osorio , Jhonatan S. Rincon , Harith Morgan , Andres F. Arrieta

Autonomous grasping remains challenging as unlike humans, robots do not possess a sophisticated sensing nor delicate interaction capability with the real environment. Among other efforts that tried to close the gap between them,…

机器人学 · 计算机科学 2022-03-10 Tai Hoang

In the domain of assistive robotics, the significance of effective modeling is well acknowledged. Prior research has primarily focused on enhancing model accuracy or involved the collection of extensive, often impractical amounts of data.…

机器人学 · 计算机科学 2024-06-07 Hamid Osooli , Christopher Coco , Johnathan Spanos , Amin Majdi , Reza Azadeh
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