English
Related papers

Related papers: Designing a Magnetic Micro-Robot for Transporting …

200 papers

As an emerging field of robotics, magnetic-field-controlled soft microrobot has broad application prospects for its flexibility, locomotion diversity as well as remote controllability. Magnetic soft microrobots can perform multimodal…

Materials Science · Physics 2022-02-21 Shangsong Li , Dong Liu , Yuping Hu , Zhijie Su , Xinai Zhang , Ruirui Guo , Dan Li , Yuan Lu

Micro-nano-robotic swimmers have promising potential for future biomedical tasks such as targeted drug delivery and minimally-invasive diagnosis. An efficient method for controlled actuation of such nano-swimmers is applying a rotating…

Fluid Dynamics · Physics 2026-05-12 Zvi Chapnik , Yizhar Or

Micro/nano-scale propulsion has attracted considerable recent attention due to its promise for biomedical applications such as targeted drug delivery. In this paper, we report on a new experimental design and theoretical modelling of…

Fluid Dynamics · Physics 2011-09-09 On Shun Pak , Wei Gao , Joseph Wang , Eric Lauga

Micro-scale swimming robots have been envisaged for many medical applications such as targeted drug delivery, where the microrobot will be expected to navigate in a fluid through channels carrying a payload. Alternatively, in many cases,…

Soft Condensed Matter · Physics 2019-09-13 Jake Buzhardt , Phanindra Tallapragada

In this work, two real-time methods to transport magnetic nanowires confined in giant hybrid vesi-cles upon the application of different strategies are studied. The microscale carriers are either mag-netically guided through the viscous…

The intricate and multi-stage task in dynamic public spaces like luggage trolley collection in airports presents both a promising opportunity and an ongoing challenge for automated service robots. Previous research has primarily focused on…

Robotics · Computer Science 2024-01-17 Peijia Xie , Bingyi Xia , Anjun Hu , Ziqi Zhao , Lingxiao Meng , Zhirui Sun , Xuheng Gao , Jiankun Wang , Max Q. -H. Meng

Modular small-scale robots offer the potential for on-demand assembly and disassembly, enabling task-specific adaptation in dynamic and constrained environments. However, existing modular magnetic platforms often depend on workspace…

Robotics · Computer Science 2026-02-24 Erik Garcia Oyono , Jialin Lin , Dandan Zhang

The recent advancements in nanoscale 3D printing and microfabrication techniques have reinvigorated research on microrobots. However, precise motion control of the microrobots on biological environments using compact actuation setups…

Robotics · Computer Science 2021-10-28 Tony Wang , DeaGyu Kim , Yifan Shi , Zhijian Hao , Azadeh Ansari

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…

Quasiparticles in liquid crystals, such as torons and skyrmions, represent a new class of topologically protected solitonic excitations, offering a promising route toward soft microrobotics. Here we demonstrate that torons can be propelled…

Soft Condensed Matter · Physics 2025-12-16 Joel Torres , Rodrigo C. V. Coelho , Patrick Oswald , Francesc Sagés , Jordi Ignés-Mullol

Human-robot interaction will play an essential role in various industries and daily tasks, enabling robots to effectively collaborate with humans and reduce their physical workload. Most of the existing approaches for physical human-robot…

Robotics · Computer Science 2024-12-04 Guanrui Li , Xinyang Liu , Giuseppe Loianno

Capsule robots are promising tools for minimally invasive diagnostics and therapy, with applications from gastrointestinal endoscopy to targeted drug delivery and biopsy sampling. Conventional magnetic capsule robots embed bulky permanent…

Robotics · Computer Science 2026-02-12 Jin Zhou , Chongxun Wang , Zikang Shen , Fangzhou Xia

Robot navigation methods allow mobile robots to operate in applications such as warehouses or hospitals. While the environment in which the robot operates imposes requirements on its navigation behavior, most existing methods do not allow…

Magnetic soft robots embedded with hard magnetic particles enable untethered actuation via external magnetic fields, offering remote, rapid, and precise control, which is highly promising for biomedical applications. However, designing such…

Robotics · Computer Science 2025-07-15 Liwei Wang

Helical propulsion is used by many microorganisms to swim in viscous-dominated environments. Their swimming dynamics are relatively well understood, but detailed study of the flow fields and actuation mechanisms are still needed to realize…

Soft Condensed Matter · Physics 2022-04-27 Asimanshu Das , Matthew Styslinger , Daniel M. Harris , Roberto Zenit

This paper introduces a novel class of hyperredundant robots comprised of chains of permanently magnetized spheres enclosed in a cylindrical polymer skin. With their shape controlled using an externally-applied magnetic field, the spherical…

Robotics · Computer Science 2023-09-01 Giovanni Pittiglio , Margherita Mencattelli , Pierre E. Dupont

Minimally invasive interventions performed inside brain vessels with the synergistic use of microcatheters pushed over guidewires have revolutionized the way aneurysms, stroke, arteriovenous malformations, brain tumors and other…

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…

Magnetic elastomers deform under a magnetic field, working as a soft actuator. Untethered microbot made of magnetic elastomers have great potentials in performing medical tasks inside human body as mini doctors. However, the lack of a…

Applied Physics · Physics 2018-10-23 Yukun Xia , Jikun Wang , Ruisen Yang , Tongqing Lu , Tiejun Wang , Zhigang Suo

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,…