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Soft actuators offer compliant and safe interaction with an unstructured environment compared to their rigid counterparts. However, control of these systems is often challenging because they are inherently under-actuated, have infinite…

Robotics · Computer Science 2024-02-06 Sean Even , Tongjia Zheng , Hai Lin , Yasemin Ozkan-Aydin

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…

Robotics · Computer Science 2020-07-09 Hao Jiang , Zhanchi Wang , Yusong Jin , Xiaotong Chen , Peijin Li , Yinghao Gan , Sen Lin , Xiaoping Chen

Modular soft robots have shown higher potential in sophisticated tasks than single-module robots. However, the modular structure incurs the complexity of accurate control and necessitates a control strategy specifically for modular robots.…

Robotics · Computer Science 2024-01-23 Zixi Chen , Matteo Bernabei , Vanessa Mainardi , Xuyang Ren , Gastone Ciuti , Cesare Stefanini

In this paper, we present a modular pressure control system called PneuDrive that can be used for large-scale, pneumatically-actuated soft robots. The design is particularly suited for situations which require distributed pressure control…

Robotics · Computer Science 2025-04-02 Curtis C. Johnson , Daniel G. Cheney , Dallin L. Cordon , Marc D. Killpack

Aiming to achieve both high functionality and flexibility in soft robot system, this paper presents a soft urethane sheet-like valve with an amplifier that can perform logical operations using only pneumatic signals. When the control…

Robotics · Computer Science 2025-12-01 Yuki Origane , Koya Cho , Hideyuki Tsukagoshi

Soft robots have a myriad of potentials because of their intrinsically compliant bodies, enabling safe interactions with humans and adaptability to unpredictable environments. However, most of them have limited actuation speeds, require…

Soft robots are promising for manipulation tasks thanks to their compliance, safety, and high degree of freedom. However, the commonly used bidirectional continuum segment design means soft robotic manipulators only function in a limited…

Robotics · Computer Science 2022-08-23 Philipp Wand , Oliver Fischer , Robert K. Katzschmann

Advanced machine learning algorithms require platforms that are extremely robust and equipped with rich sensory feedback to handle extensive trial-and-error learning without relying on strong inductive biases. Traditional robotic designs,…

Soft robots offer an alternative approach to manipulate inside the constrained space while maintaining the safe interaction with the external environment. Due to its adaptable compliance characteristic, external contact force can easily…

Robotics · Computer Science 2019-06-28 Yue Chen , Long Wang , Kevin Galloway , Isuru Godage , Nabil Simaan , Eric Barth

Soft robotic systems are known for their flexibility and adaptability, but traditional physics-based models struggle to capture their complex, nonlinear behaviors. This study explores a data-driven approach to modeling the…

Soft robotics is a field of robotic system design characterized by materials and structures that exhibit large-scale deformation, high compliance, and rich multifunctionality. The incorporation of soft and deformable structures endows soft…

Soft robots are gaining popularity thanks to their intrinsic safety to contacts and adaptability. However, the potentially infinite number of Degrees of Freedom makes their modeling a daunting task, and in many cases only an approximated…

Robotics · Computer Science 2024-01-26 Gabriele Tiboni , Andrea Protopapa , Tatiana Tommasi , Giuseppe Averta

In this work we present a framework that is capable of accurately representing soft robotic actuators in a multiphysics environment in real-time. We propose a constraint-based dynamics model of a 1-dimensional pneumatic soft actuator that…

Robotics · Computer Science 2019-04-08 Renato Gasoto , Miles Macklin , Xuan Liu , Yinan Sun , Kenny Erleben , Cagdas Onal , Jie Fu

Planning and execution of agile locomotion maneuvers have been a longstanding challenge in legged robotics. It requires to derive motion plans and local feedback policies in real-time to handle the nonholonomy of the kinetic momenta. To…

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…

Soft robots achieve functionality through tight coupling among geometry, material composition, and actuation. As a result, effective design optimization requires these three aspects to be considered jointly rather than in isolation. This…

Robotics · Computer Science 2026-03-09 Vittorio Candiello , Manuel Mekkattu , Mike Y. Michelis , Robert K. Katzschmann

Soft robotics is a rapidly growing area of robotics research that would benefit greatly from design automation, given the challenges of manually engineering complex, compliant, and generally non-intuitive robot body plans and behaviors. It…

Robotics · Computer Science 2023-06-19 Alican Mertan , Nick Cheney

Legged robots constructed from soft materials are commonly claimed to demonstrate safer, more robust environmental interactions than their rigid counterparts. However, this motivating feature of soft robots requires more rigorous…

Autonomous wheeled-legged robots have the potential to transform logistics systems, improving operational efficiency and adaptability in urban environments. Navigating urban environments, however, poses unique challenges for robots,…

Robotics · Computer Science 2024-05-06 Joonho Lee , Marko Bjelonic , Alexander Reske , Lorenz Wellhausen , Takahiro Miki , Marco Hutter

This work represents an initial benchmark of a large-scale soft robot performing physical, collaborative manipulation of a long, extended object with a human partner. The robot consists of a pneumatically-actuated, three-link continuum soft…

Robotics · Computer Science 2025-04-14 Dallin L. Cordon , Shaden Moss , Marc Killpack , John L. Salmon