Magnetic Fiber Robots with Multiscale Functional Structures at the Distal End

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 34(12)

Published: Nov. 23, 2023

Abstract Magnetic fiber robots have revealed great potential for future minimally invasive robotic surgery. However, with the miniaturization of robots, integration functional microtools at distal end becomes extremely challenging, since it requires assembling multifunctional structures on curved surfaces ends, which typically very small curvature radii. In this study, a submillimeter robot integrated micro‐manipulation tool is reported using “Swiss roll” assembly strategy. This approach enables one‐step multiscale (mm‐µm) from 2D film to 3D surface robot. The structure consists millimeter‐scale (mm) magnetic thin micrometer‐scale (µm) feature structures, inspired cat tongue covered by numerous little papillae. can perform multiple functions including endovascular clot grabbing, liquid delivery, and sampling under manipulation field. strategy provides universal protocol integrating components contributing significantly functionalization interventional medical robots.

Language: Английский

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Navigating micro- and nano-motors/swimmers with machine learning: Challenges and future directions

ChemPhysMater, Journal Year: 2024, Volume and Issue: 3(3), P. 273 - 283

Published: June 20, 2024

Micro-/nano-motors (MNMs) or swimmers are minuscule machines that can convert various forms of energy, such as chemical, electrical, magnetic into motion. These devices have attracted significant attention owing to their potential application in a wide range fields drug delivery, sensing, and microfabrication. However, diverse shapes, sizes, structural/chemical compositions, the development MNMs faces several challenges, understanding structure-function relationships, which is crucial for achieving precise control over motion within complex environments. In recent years, machine learning techniques shown promise addressing these challenges improving performance MNMs. Machine analyze large amounts data, learn from patterns, make predictions, thereby enabling navigate environments, avoid obstacles, perform tasks with higher efficiency reliability. This review introduces current state-of-the-art MNM research, particular focus on employing understand manipulate navigation locomotion Finally, we discuss opportunities this field suggest future research directions.

Language: Английский

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Ultrasound robotics for precision therapy

Advanced Drug Delivery Reviews, Journal Year: 2023, Volume and Issue: 205, P. 115164 - 115164

Published: Dec. 23, 2023

Language: Английский

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Promising advances in physically propelled micro/nanoscale robots

Nano Materials Science, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Micro/nanoscale robots (MNRs) have attracted significant interest in various fields because of their flexible design, physically controlled maneuvering, and barrier targeting. The execution specific functions using MNRs relies on precise propulsion methods. Among the diverse techniques, physical is widely used owing to its noninvasive, safe, convenient attributes. This review provides an analysis mechanisms magnetic, electric, thermal, ultrasound presents a comprehensive summary structures, movements, applications while also examining advantages shortcomings associated with Finally, challenges perspectives future development are presented. content this can serve as multidisciplinary science reference for physicists, bioengineers, clinicians, roboticists, chemists involved pharmaceutical design clinical therapy research.

Language: Английский

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Biomimetic Individual and Group Behaviors of Bubble‐Thrusted Tubular Micro Sonobots: Unveiling the Mechanism Behind Phenomena

Advanced Engineering Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

To overcome the propulsion difficulties in low Reynolds number environment, natural species have developed their exclusive swimming strategies after 1000 years of evolution. Inspired by those fascinating creatures, diverse artificial microrobots are proposed to achieve distinctive biomimetic motions. However, lack cognition for mechanism hinders exploration multimode biomimicking microrobots, especially at high‐speed locomotion. Herein, behaviors micro sonobot featured with multiple‐layer tubular constructions and trapped microbubbles serving as powerful microengines reported. The observed speed achieves tens millimeters per second. Different from previously reported bubble‐loaded it is that primary Bjerknes forces originating nonhomogeneous acoustic field make a great contribution orientation. Along streaming secondary forces, including individual locomotion group aggregation emerged theoretically analyzed. motion sonobots offers marvelous potentials building multifunctional micro/nanosystems nanosurgery, lab‐on‐a‐chip biosystems, chemical biological engineering, environmental detoxification, etc.

Language: Английский

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Short term vs. long term: Optimization of microswimmer navigation on different time horizons

Physical Review Research, Journal Year: 2025, Volume and Issue: 7(1)

Published: March 10, 2025

We use reinforcement learning to find strategies that allow microswimmers in turbulence avoid regions of large strain. This question is motivated by the hypothesis swimming microorganisms tend such minimize risk predation. ask which local cues a microswimmer must measure efficiently straining regions. it can succeed without directional information, merely measuring magnitude However, swimmer avoids more if sign strain gradients. compare our results with those an earlier study [N. Mousavi , ] where short-time expansion was used optimal strategies. work well some cases, but not others. derive theory explains when time horizon matters for optimization problem and does not. strategy best performance coincides correlation turbulent fluctuations. also explain how update frequency (the at updates its strategy) affects found higher frequencies yield better performance. Published American Physical Society 2025

Language: Английский

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Artificial intelligence orchestration for text-based ultrasonic simulation via self-review by multi-large language model agents

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 11, 2025

Abstract Widely used ultrasonic simulation systems often rely on complex graphical user interfaces (GUIs) or scripting, resulting in substantial time investments and reduced accessibility for new users. In this study, we propose a novel text-based control architecture, which leverages large language model (LLM) the ground artificial intelligence (AI) approach to streamline of systems. By modularizing functionalities SimNDT program into discrete functions enabling natural language-based command interpretation, proposed method reduces average configuration by approximately 75%. To further mitigate task failures scenario generation using LLM, introduce AI approach, employs self-review mechanisms multi-agent collaboration improve completion rates. particular, when vectorized output lengths deviate from standard, regenerate outputs multiple LLM agents, reducing error rate 23.89 1.48% enhancing reliability significantly. These advancements underscore potential AI-driven methods operational costs frameworks. integrating Ground mechanisms, provides an efficient scalable alternative traditional GUI-based methods, particularly time-sensitive applications such as digital twin

Language: Английский

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Magnetic Microrobots for In Vivo Cargo Delivery: A Review

Micromachines, Journal Year: 2024, Volume and Issue: 15(5), P. 664 - 664

Published: May 20, 2024

Magnetic microrobots, with their small size and agile maneuverability, are well-suited for navigating the intricate confined spaces within human body. In vivo cargo delivery context of microrobotics involves use microrobots to transport administer drugs cells directly targeted regions a living organism. The principal aim is enhance precision, efficiency, safety therapeutic interventions. Despite potential, there shortage comprehensive reviews on magnetic in from both research engineering perspectives, particularly those published after 2019. This review addresses this gap by disentangling recent advancements delivery. It summarizes actuation platforms, structural designs, loading release methods, tracking navigation algorithms, degradation retrieval methods. Finally, it highlights potential directions. aims provide summary current landscape microrobot technologies present implementation capabilities, prospective also examines significant innovations inherent challenges biomedical applications.

Language: Английский

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Driving modes and characteristics of biomedical micro-robots

Engineered Regeneration, Journal Year: 2023, Volume and Issue: 4(4), P. 411 - 426

Published: Aug. 10, 2023

Micro-robots (MRs) are miniature machines with dimensions smaller than 1 mm and have semi- or fully-autonomous capabilities, including sensing, decision-making, performing operations. These MRs garnered significant attention in the precision medicine personalized treatment field due to their ability navigate narrow areas of human body non-desirable fluid flow. Specifically, actuated by a mechanism that generates propulsive force through interaction between MRs' actuation modules external energy sources specific direction. This driving enables precise execution medical such as targeted drug delivery minimally invasive surgeries. Nonetheless, currently encounter certain challenges clinical practice, reliance on sources, short lifespan, difficulties degradation recovery within body. article aims review common components characteristics for modules, propose possible solutions address current challenges, ultimately, explore desirable structural functional composition future development MRs. Through these efforts, this hopes provide guidance medicine.

Language: Английский

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Challenges and attempts to make intelligent microswimmers

Frontiers in Physics, Journal Year: 2023, Volume and Issue: 11

Published: Sept. 22, 2023

The study of microswimmers’ behavior, including their self-propulsion, interactions with the environment, and collective phenomena, has received significant attention over past few decades due to its importance for various biological medical applications. Microswimmers can easily access micro-fluidic channels manipulate microscopic entities, enabling them perform sophisticated tasks as untethered mobile microrobots inside human body or microsize devices. Thanks advancements in micro/nano-technologies, a variety synthetic biohybrid have been designed fabricated. Nevertheless, key challenge arises: how guide navigate through complex fluid environments specific tasks. model-free reinforcement learning (RL) technique appears be promising approach address this problem. In review article, we will first illustrate complexities that microswimmers may face realistic environments. Subsequently, present recent experimental fabricating intelligent using physical intelligence techniques. We then introduce several popular RL algorithms summarize progress RL-powered microswimmers. Finally, limitations perspectives current studies field discussed.

Language: Английский

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