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To achieve real-world functionality, robots must have the ability to carry out decision-making computations. However, soft robots stretch and therefore need a solution other than rigid computers. Examples of embedding computing capacity…

Envisioned applications for humanoid robots call for the design of balancing and walking controllers. While promising results have been recently achieved, robust and reliable controllers are still a challenge for the control community…

Optimization and Control · Mathematics 2017-07-18 Gabriele Nava , Francesco Romano , Francesco Nori , Daniele Pucci

This paper introduces a Cosserat rod based mathematical model for modeling a self-controllable variable curvature soft continuum robot. This soft continuum robot has a hollow inner channel and was developed with the ability to perform…

Robotics · Computer Science 2024-06-28 Xinran Wang , Nicolas Rojas

Sim-to-real transfer remains a significant challenge in soft robotics due to the unpredictability introduced by common manufacturing processes such as 3D printing and molding. These processes often result in deviations from simulated…

Magnetic-responsive composites that consist of soft matrix embedded with hard-magnetic particles have recently been demonstrated as robust soft active materials for fast-transforming actuation. However, the deformation of the functional…

Applied Physics · Physics 2019-09-12 Shuai Wu , Qiji Ze , Rundong Zhang , Nan Hu , Yang Cheng , Fengyuan Yang , Ruike Zhao

Magnetic Soft Catheters (MSCs) are capable of miniaturization due to the use of an external magnetic field for actuation. Through careful design of the magnetic elements within the MSC and the external magnetic field, the shape along the…

Robotics · Computer Science 2023-11-01 Joshua Davy , Peter Lloyd , James H. Chandler , Pietro Valdastri

Continuum and soft robots can leverage complex actuator shapes to take on useful shapes while actuating only a few of their many degrees of freedom. Continuum robots that also grow increase the range of potential shapes that can be actuated…

Variable impedance control is advantageous for physical human-robot interaction to improve safety, adaptability and many other aspects. This paper presents a gain-scheduled variable stiffness control approach under strict frequency-domain…

Robotics · Computer Science 2020-08-11 Wulin Zou , Pu Duan , Yawen Chen , Ningbo Yu , Ling Shi

Tensegrity structures are lightweight, can undergo large deformations, and have outstanding robustness capabilities. These unique properties inspired roboticists to investigate their use. However, the morphological design, control,…

Robotics · Computer Science 2021-01-29 Davide Zappetti , Jean Marc Bejjani , Dario Floreano

Learning robot tasks or controllers using deep reinforcement learning has been proven effective in simulations. Learning in simulation has several advantages. For example, one can fully control the simulated environment, including halting…

Machine Learning · Computer Science 2018-09-18 Jeroen van Baar , Alan Sullivan , Radu Cordorel , Devesh Jha , Diego Romeres , Daniel Nikovski

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…

Robotics · Computer Science 2025-05-14 Juan C. Osorio , Jhonatan S. Rincon , Harith Morgan , Andres F. Arrieta

Shape change enables new capabilities for robots. One class of robots capable of dramatic shape change is soft growing "vine" robots. These robots usually feature global actuation methods for bending that limit them to simple,…

Robotics · Computer Science 2023-03-07 Rianna Jitosho , Sofia Simon-Trench , Allison M. Okamura , Brian H. Do

Soft machines typically exhibit slow locomotion speed and low manipulation strength because of intrinsic limitations of soft materials. Here, we present a generic design principle that harnesses mechanical instability for a variety of…

Continuum robots have been widely adopted in robot-assisted minimally invasive surgery (RMIS) because of their compact size and high flexibility. However, their proprioceptive capabilities remain limited, particularly in narrow lumens,…

Robotics · Computer Science 2025-06-24 Peiyu Luo , Shilong Yao , Yuhan Chen , Max Q. -H. Meng

This paper proposes a new variable stiffness soft gripper that enables high-performance grasping tasks in industrial applications. The design of the proposed monolithic soft gripper includes a middle bellow and two side bellows (i.e.,…

Robotics · Computer Science 2023-02-07 Mert Aydin , Emre Sariyildiz , Charbel Dalely Tawk , Rahim Mutlu , Gursel Alici

Torque and continuous rotation are fundamental methods of actuation and manipulation in rigid robots. Soft robot arms use soft materials and structures to mimic the passive compliance of biological arms that bend and extend. This use of…

Mechanical metamaterials are architected manmade materials that allow for unique behaviors not observed in nature, making them promising candidates for a wide range of applications. Existing metamaterials lack tunability as their properties…

Fiber jamming modules (FJMs) offer flexibility and quick stiffness variation, making them suitable for follow-the-leader (FTL) motions in continuum robots, which is ideal for minimally invasive surgery (MIS). However, their potential has…

Robotics · Computer Science 2024-08-27 Chen Qian , Tangyou Liu , Liao Wu

Multisection continuum arms offer complementary characteristics to those of traditional rigid-bodied robots. Inspired by biological appendages, such as elephant trunks and octopus arms, these robots trade rigidity for compliance, accuracy…

Robotics · Computer Science 2019-01-08 Isuru S. Godage , Robert J. Webster , Ian D. Walker

Functional magnetic composites capable of large deformation, load bearing, and multifunctional motion are essential for next-generation adaptive soft robots. Here, we present muscle-inspired magnetic actuators (MMA), additively manufactured…

Robotics · Computer Science 2026-04-21 Muhammad Bilal Khan , Florian Hofmann , Kilian Schäfer , Matthias Lutzi , Oliver Gutfleisch