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Related papers: Responsive Hydrogel-based Modular Microrobots for …

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Microrobots hold promise for applications ranging from targeted delivery to enhanced mixing at the microscale. However, current fabrication techniques suffer from limited throughput and material selection. Here, we demonstrate a versatile…

Applied Physics · Physics 2021-11-09 Maximilian R. Bailey , Fabio Grillo , Nicholas D. Spencer , Lucio Isa

Flagellated microorganisms can swim at low Reynolds numbers and adapt to changes in their environment. Specifically, the flagella can switch their shapes or modes through gene expression. In the past decade, efforts have been made to…

Robotics · Computer Science 2024-01-02 Liyuan Tan , Yang Yang , Li Fang , David J. Cappelleri

True microrobots, in contrast with externally controlled microparticles, must harvest or carry their own source of energy, as well as their own (preferably programmable) microcontroller of actuators for locomotion, using information…

Systems and Control · Electrical Eng. & Systems 2025-08-26 Vineeth K. Bandari , Yeji Lee , Pranathi Adluri , Daniil Karnaushenko , Dmitriy D. Karnaushenko , John S. McCaskill , Oliver G. Schmidt

Biological hydrogels have been increasingly sought after as e.g. wound dressings or scaffolds for regenerative medicine, due to their inherent biofunctionality in biological environments. Especially in moist wound healing, the ideal…

Chemical Physics · Physics 2014-10-24 Giuseppe Tronci , Colin A. Grant , Neil H. Thomson , Stephen J. Russell , David J. Wood

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

Modular microrobotics can potentially address many information-intensive microtasks in medicine, manufacturing and the environment. However, surface area has limited the natural powering, communication, functional integration, and…

Systems and Control · Electrical Eng. & Systems 2024-12-04 Yeji Lee , Vineeth K. Bandari , John S. McCaskill , Pranathi Adluri , Daniil Karnaushenko , Dmitriy D. Karnaushenko , Oliver G. Schmidt

The advantage of modular self-reconfigurable robot systems is their flexibility, but this advantage can only be realized if appropriate configurations (shapes) and behaviors (controlling programs) can be selected for a given task. In this…

Robotics · Computer Science 2018-05-03 Gangyuan Jing , Tarik Tosun , Mark Yim , Hadas Kress-Gazit

Magnetic rolling microrobots enable gentle manipulation in confined microfluidic environments, yet autonomy for contact-rich behaviors such as cell pushing and multi-target assembly remains difficult to develop and evaluate reproducibly. We…

Robotics · Computer Science 2026-03-02 Yanda Yang , Sambeeta Das

Modular Self-Reconfigurable Robot (MSRR) systems are a class of robots capable of forming higher-level robotic systems by altering the topological relationships between modules, offering enhanced adaptability and robustness in various…

Robotics · Computer Science 2026-01-28 Jie Gu , Tin Lun Lam , Chunxu Tian , Zhihao Xia , Yongheng Xing , Dan Zhang

We investigate the collective behavior of suspended thermoresponsive microgels, that expel solvent and subsequently decrease in size upon heating. Using a binary mixture of differently thermoresponsive microgels, we demonstrate how…

Thermoresponsive microgels are soft colloids that find widespread use as model systems for soft matter physics. Their complex internal architecture, made of a disordered and heterogeneous polymer network, has been so far a major challenge…

Programmable materials are desirable for a variety of functional applications that range from biomedical devices, actuators and soft robots to adaptive surfaces and deployable structures. However, current smart materials are often designed…

Soft modular robots enable more flexibility and safer interaction with the changing environment than traditional robots. However, it has remained challenging to create deformable connectors that can be integrated into soft machines. In this…

Robotics · Computer Science 2020-04-13 Yu Alexander Tse , Shuai Liu , Yang Yang , Michael Yu Wang

Magnetic response soft robot realizes programmable shape regulation with the help of magnetic field and produces various actions. The shape control of magnetic soft robot is based on the magnetic anisotropy caused by the orderly…

Robotics · Computer Science 2021-11-08 Ran Zhao , Hanchen Yao , Houde Dai

Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are no good dynamic simulation tools to predict the motion or performance of a microrobot as it moves against a substrate. At…

Robotics · Computer Science 2019-07-31 Jiayin Xie , Chenghao Bi , David J. Cappelleri , Nilanjan Chakraborty

Many organisms leverage an interplay between shape and activity to generate motion and adapt to their environment. Embedding such feedback into synthetic microrobots could eliminate the need for sensors, software, and actuators, yet current…

Soft Condensed Matter · Physics 2025-06-19 Mengshi Wei , Daniela J. Kraft

Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are few dynamic simulation tools available to accurately predict the motion or performance of untethered microrobots as they…

Robotics · Computer Science 2020-10-08 Jiayin Xie , Chenghao Bi , David J. Cappelleri , Nilanjan Chakraborty

The experimental control of synergistic chemomechanical dynamics of catalytically active microgels (microreactors) is a key prerequisite for the design of adaptive and biomimetic materials. Here, we report a minimalistic model of…

Soft Condensed Matter · Physics 2023-06-09 Sebastian Milster , Abeer Darwish , Nils Göth , Joachim Dzubiella

Traditional aerial vehicles have limitations in their capabilities due to actuator constraints, such as motor saturation. The hardware components and their arrangement are designed to satisfy specific requirements and are difficult to…

Robotics · Computer Science 2023-05-30 Jiawei Xu , David Saldaña

Performing long-term experimentation or large-scale data collection for machine learning in the field of soft robotics is challenging, due to the hardware robustness and experimental flexibility required. In this work, we propose a modular…

Robotics · Computer Science 2024-09-06 Kiyn Chin , Carmel Majidi , Abhinav Gupta
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