Optimization of Flight Parameters for Petrel-L Underwater Glider

Wang, Shuxin; Yang, Ming; Wang, Yanhui; Yang, Shaoqiong; Lan, Shiquan; Zhang, Xinhai

doi:10.1109/joe.2020.3030573

Cited by 52 publications

(19 citation statements)

References 23 publications

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“…[ 122 ] The same group also employed the PSO algorithm for obstacle‐avoidance manipulation of a magnetic droplet swarm. [ 46 ] A Pareto optimality‐based framework was proposed for path planning and automatic navigation in a complex vascular network. [ 81 ] Path generation and multi‐objects optimization could be achieved at the same time in this work.…”

Section: Automatic Control Of Microrobots With Path Planning Algorithmsmentioning

confidence: 99%

Section: Multiagent Control Of Microrobotsmentioning

confidence: 99%

“…The swarm consisting of multiple magnetic droplets could be navigated by moving the magnetic needle, and the swarm would be attracted by the field gradient and follow the path of the needle. [ 46 ] A magnetic tweezer device containing five poles was developed as depicted in Figure 7h. [ 193 ] By moving the movable pole, the position with the maximum magnetic strength would be relocated, leading to the locomotion of the microrobot swarm.…”

Section: Multiagent Control Of Microrobotsmentioning

confidence: 99%

“…Control theories [ 44,45 ] provide promising solutions for the automatic control of microrobots, and together with planning algorithms more practical applications like targeted navigation can be achieved. [ 46,47 ] Moreover, with intelligent algorithms like convolutional neural network (CNN) [ 48 ] and reinforcement learning, [ 49 ] microrobots possess the potential of performing higher level automatic behaviors. The overall workflow for automatic control of microrobots is shown in Figure .…”

Section: Introductionmentioning

confidence: 99%

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Control and Autonomy of Microrobots: Recent Progress and Perspective

Jiang

Yang

Ferreira

et al. 2022

Advanced Intelligent Systems

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After decades of development, microrobots have exhibited great application potential in the biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing. Compared with conventional medical robotic systems, microrobots may be capable of reaching more narrow and vulnerable regions in the human body with minimal damage. However, limited by the small scale of microrobots, microprocessors, power supplies, and sensors can hardly be integrated on‐board. Thus, new strategies for the actuation and feedback for microrobots need to be explored. Furthermore, the open‐loop control method accomplished by operators may lack accuracy, and long‐duration operation could bring a severe physical challenge in many applications. Consequently, the automatic control of microrobots with the aid of control theories is developed to improve the control efficiency and precision. To further promote the automation level of microrobots, machine learning algorithms are expected to provide a solution to let microrobots adapt to more dynamic environments and undertake more complex medical tasks. Herein, a systematic introduction of the manipulation of microrobots from open‐loop to closed‐loop control is given in this review. It is envisioned that microrobots will play an important role in future biomedical applications.

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Section: Automatic Control Of Microrobots With Path Planning Algorithmsmentioning

confidence: 99%

Section: Multiagent Control Of Microrobotsmentioning

confidence: 99%

Section: Multiagent Control Of Microrobotsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Control and Autonomy of Microrobots: Recent Progress and Perspective

Jiang

Yang

Ferreira

et al. 2022

Advanced Intelligent Systems

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“…[ 7–13 ] In addition, the modification/encapsulation of functional elements endows the composites with properties of cargo loading, microenvironmental response, [ 14 ] collaborative work, [ 15 ] and biocompatibility. [ 16 ] These micromachines show great potential in biomedical applications, including active drug delivery, [ 17,18 ] biosensing, [ 19,20 ] micromanipulation, [ 21 ] and minimally invasive intervention. [ 22,23 ] The integration of the directed transportation capability and therapeutic agent loading bridges the gap between microrobotics and nanomedicine, and this efficient strategy has been unitized to treat bacterial infections.…”

Section: Introductionmentioning

confidence: 99%

Micro‐/Nanorobots in Antimicrobial Applications: Recent Progress, Challenges, and Opportunities

Zhang

Wang

Chan

et al. 2021

Adv Healthcare Materials

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The evolution of drug‐resistant pathogenic bacteria remains one of the most urgent threats to public health worldwide. Even worse, the bacterial cells commonly form biofilms through aggregation and adhesion, preventing antibiotic penetration and resisting environmental stress. Moreover, biofilms tend to grow in some hard‐to‐reach regions, bringing difficulty for antibiotic delivery at the infected site. The drug‐resistant pathogenic bacteria and intractable biofilm give rise to chronic and recurrent infections, exacerbating the challenge in combating bacterial infections. Micro/nanorobots (MNRs) are capable of active cargo delivery, targeted treatment with high precision, and motion‐assisted mechanical force, which enable transport and enhance penetration of antibacterial agents into the targeted site, thus showing great promise in emerging as an attractive alternative to conventional antibacterial therapies. This review summarizes the recent advances in micro‐/nanorobots for antibacterial applications, with emphasis on those novel strategies for drug‐resistance bacterium and stubborn biofilm infections. Insights on the future development of MNRs with good functionality and biosafety offer promising approaches to address infections in the clinic setting.

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Construction of Ru, O Co‐Doping MoS₂ for Hydrogen Evolution Reaction Electrocatalyst and Surface‐Enhanced Raman Scattering Substrate: High‐Performance, Recyclable, and Durability Improvement

Zhang

Yang

et al. 2022

Adv Funct Materials

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Molybdenum disulfide (MoS 2 ) is a promising non-precious material for hydrogen evolution reaction (HER) electrocatalysts and surface-enhanced Raman scattering (SERS) substrates. However, its inert basal plane, poor active sites, and limited stability hamper their commercial prospects. Herein, Ru, O co-doped MoS 2 (MSOR x ) for accelerating the charge transfer and building more active sites using one-step hydrothermal method is designed to address these obstacles. The outstanding HER performances of the MSOR 1 with low overpotentials at 10 mA cm −2 in both acidic (197 mV) and alkaline solution (43 mV), which even rivals that of commercial Pt/C. Meanwhile, this MSOR 1 is also used as SERS substrate that has excellent sensitivity with the enhancement factor of 1.7 × 10 6 . Additionally, label-free detection of bilirubin using MSOR 1 with a detection limit of 10 −10 m has been demonstrated, also better than that of most previously reported semiconductors. Superior HER and SERS activity, universality in wide PH range and long-term stability are achieved based on the introduction of Ru and O. This study provides guidance for the synthesis of highly active catalysts and SERS substrate, and holds considerable promise for low-cost HER over the whole pH and clinical translation in accurate diagnosis of jaundice.

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Optimization of Flight Parameters for Petrel-L Underwater Glider

Cited by 52 publications

References 23 publications

Control and Autonomy of Microrobots: Recent Progress and Perspective

Control and Autonomy of Microrobots: Recent Progress and Perspective

Micro‐/Nanorobots in Antimicrobial Applications: Recent Progress, Challenges, and Opportunities

Construction of Ru, O Co‐Doping MoS₂ for Hydrogen Evolution Reaction Electrocatalyst and Surface‐Enhanced Raman Scattering Substrate: High‐Performance, Recyclable, and Durability Improvement

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Optimization of Flight Parameters for Petrel-L Underwater Glider

Cited by 52 publications

References 23 publications

Control and Autonomy of Microrobots: Recent Progress and Perspective

Control and Autonomy of Microrobots: Recent Progress and Perspective

Micro‐/Nanorobots in Antimicrobial Applications: Recent Progress, Challenges, and Opportunities

Construction of Ru, O Co‐Doping MoS2 for Hydrogen Evolution Reaction Electrocatalyst and Surface‐Enhanced Raman Scattering Substrate: High‐Performance, Recyclable, and Durability Improvement

Contact Info

Product

Resources

About

Construction of Ru, O Co‐Doping MoS₂ for Hydrogen Evolution Reaction Electrocatalyst and Surface‐Enhanced Raman Scattering Substrate: High‐Performance, Recyclable, and Durability Improvement