Liquid Metal Machine DOI
Shuting Liang

Published: Jan. 1, 2024

High-Strength and Excellent Self-Healing Polyurethane Elastomer Based on Rigid Chain Segment Reinforcement DOI
Li-Quan Huang,

Hua-Xin Huang,

Ning Yu

et al.

Macromolecules, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Owing to their extensive application scope, elastomers that combine high strength and excellent self-healing efficiency have always attracted significant attention are still a contradiction. In this study, novel PU elastomer was prepared by combining rigid poly(amic acid) (PAA) chain segments 3,3-dithiodipropionic dihydrazide (DPH) containing sextuple hydrogen-bonding units disulfide bonds. The exhibited tensile of 50.1 MPa toughness 144.2 MJ/m3. PAA serve as framework, significantly enhancing the mechanical elastomer. Meanwhile, DPH with bonds enabled exhibit an 96.1% after 12 h at 80 °C. Additionally, strong reversible cross-linking arrays in endows it strength, ability, recyclability, allowing be recycled hot pressing dissolution.

Language: Английский

Citations

6

A Bilayer Microfluidics-Based Elastic Encapsulation Method of Liquid Metal Circuits with Cellular Resolution DOI
Hang Chen, Qingyan Rao, Jialu Wu

et al.

ACS Nano, Journal Year: 2025, Volume and Issue: unknown

Published: March 30, 2025

Mechanical mismatches at the microscale between bioelectronics and cells severely hinder successful acquisition of high-quality stable electrophysiological signals. Room-temperature liquid metals (EGaIn), which possess a near-zero Young's modulus, present promising material for achieving conformal contact with biological tissues. However, fluidity limits elastic encapsulation patterned circuits cellular resolution. To address this challenge, we develop bilayer microfluidics-based method to elastically encapsulate high-resolution electrode array (20 μm) within several minutes (<3 min). The alignment-free overcomes limitations packaging polymers aligners, enabling cost-effective, scalable manufacturing devices. These electronics exhibit excellent wear resistance, high flexibility (>300% strain), biocompatibility, facilitating long-term interfacing cardiomyocytes collection (∼30 dB) cell field potential signals as well epicardial (∼42 from living rat models. This rapid straightforward approach improves precision integration metal-based flexible electronics, holding promise monitoring treatment, such mapping, electrical stimulation, other therapeutic interventions levels.

Language: Английский

Citations

1

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects DOI Creative Commons
A. Sarker,

Tamzid Ul Islam,

Md. Robiul Islam

et al.

Advanced Intelligent Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 30, 2024

Bioinspired soft robotics is an emerging field that aims to develop flexible and adaptive robots inspired by the movement capabilities of biological organisms. This review article examines recent advances in materials, actuation mechanisms, sensors, control strategies discusses challenges future prospects bioinspired robotics. Key innovations highlighted include pneumatic, elastomer actuators, variable‐length shape memory alloy tendons, closed‐loop with incorporation materials including polymers conductive composites. Challenges such as achieving complex motion control, incorporating feedback systems, modeling material dynamics, replicating muscle efficiency artificial muscles are also discussed. Promising directions explored integration biodegradable machine learning‐based algorithms, leveraging data‐driven techniques for control. Building on progress multi‐functional manufacturing techniques, design principles, hold considerable promise expanding robot capabilities, enhancing versatility adaptability, enabling applications from wearable assistive devices search rescue operations. provides a holistic perspective encompassing key drivers propelling vibrant

Language: Английский

Citations

7

Legged Robot with Tensegrity Feature Bionic Knee Joint DOI Creative Commons
Qi Wen, Meiling Zhang, Jianwei Sun

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Legged robots, designed to emulate human functions, have greatly influenced numerous sectors. However, the focus on continuously improving joint motors and control systems of existing legged robots not only increases costs complicates maintenance but also results in failure accurately mimic functionality skeletal‒muscular system. This study introduces a bionic robot structure that leverages tensegrity principle, drawing inspiration from leg's structural morphology kinematic mechanisms. By designing system distinguishes between rolling sliding movements, knee's variable instantaneous center rotation (ICR), is successfully replicated showcasing its capabilities achieving gait resemblance vibration absorption. The unit's features, including remarkable deformability, self-recovery, four-bar mechanism's singular position characteristic, alongside rope unlocking mechanism reminiscent muscles, facilitate situ compliance-rigid-compliance transitions knee without need for motors, relying solely ground contact through foot. innovation overcomes conventional dependency as requires single DC motor positioned at hip straightforward program seamlessly execute complete cycle movement.

Language: Английский

Citations

1

A dual-mode wearable sensor with electrophysiological and pressure sensing for cuffless blood pressure monitoring DOI
Nan Jiang,

Gangsheng Chen,

Fan Zhou

et al.

Journal of Materials Chemistry C, Journal Year: 2024, Volume and Issue: 12(39), P. 15915 - 15923

Published: Jan. 1, 2024

A wearable dual-mode sensor is created by integrating liquid metal into an ionogel. It can simultaneously monitor both the electrocardiogram and arterial pulse to simplify measurement of transit time thus blood pressure.

Language: Английский

Citations

3

Reimagining Robots: The Future of Cybernetic Organisms with Energy-Efficient Designs DOI
Stefan Stavrev

Published: Jan. 1, 2025

Language: Английский

Citations

0

Fingertip‐Inspired Spatially Anisotropic Inductive Liquid Metal Sensors with Ultra‐Wide Range, High Linearity and Exceptional Stability DOI Open Access
Nan Li, Fei Zhan,

Minghui Guo

et al.

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

Published: March 26, 2025

The advancement of robotic behavior and intelligence has led to an urgent demand for improving their sensitivity interactive capabilities, which presents challenges in achieving multidimensional, wide-ranging, reliable tactile sensing. Here anisotropic inductive liquid metal sensor (AI-LMS) is introduced inspired by the human fingertip, inherently possesses capability detect spatially multi-axis pressure with a wide sensing range, exceptional linearity, signal stability. Additionally, it can very small pressures responds swiftly prescribed forces. Compared resistive signals, signals offer significant advantages. Further, integrated deep neural network model, AI-LMS decouple acting simultaneously upon it. Notably, range Ecoflex PDMS-based be expanded factor 4 9.5, respectively. For practical illustrations, high-precision surface scanning reconstruction system developed capable capturing intricate details 3D profiles. utilization biomimetic as fingertips enables real-time discrimination diverse delicate grasping behaviors across different fingers. innovations unique features mechanisms structural design are expected bring transformative changes find extensive applications field soft robotics.

Language: Английский

Citations

0

A Durable Metalgel Maintaining 3×106 S∙M‒1 Conductivity under 1 000 000 Stretching Cycles DOI

X.-G. Li,

Jiacheng Wang, W. Wang

et al.

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

Published: March 30, 2025

Abstract Conductive elastomers are in high demand for emerging fields such as wearable electronics and soft robotics. However, it remains unavailable to realize the desired metal‐level conductivity after extensive stretching cycles, which is a necessity above promising application. Here, new material presented that employs an elastic, homogeneous, dense waterborne polyurethane network immobilize liquid metal continuum via electrostatic interactions. This design enables deform synchronously reversibly with polymer network, preserving its conductive structure significantly enhancing durability. The resulting durable metalgel exhibits of 3 × 10 6 S∙m −1 , stable 1 000 cycles. work overcomes performance limitations current unlocks opportunities cutting‐edge applications technology

Language: Английский

Citations

0

Biocompatible, biodegradable, and high-performance flexible pressure sensors for severity grading and rehabilitation assessment in Parkinson's disease management DOI

X. L. Zheng,

Yuanlong Li, Qihui Zhou

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 111030 - 111030

Published: April 1, 2025

Language: Английский

Citations

0

Reimagining Robots: The Future of Cybernetic Organisms with Energy-Efficient Designs DOI Creative Commons
Stefan Stavrev

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(4), P. 104 - 104

Published: April 17, 2025

The development of cybernetic organisms—autonomous systems capable self-regulation and dynamic environmental interaction—requires innovations in both energy efficiency computational adaptability. This study explores the integration bio-inspired liquid flow batteries neuromorphic computing architectures to enable real-time learning power optimization autonomous robotic systems. Liquid-based storage systems, modeled after vascular networks, offer distributed management, reducing bottlenecks improving resilience long-duration operations. Complementing this, architectures, including memristor-based processors spiking neural networks (SNNs), enhance while minimizing consumption. By integrating these adaptive robots can dynamically allocate processing resources based on demands, bridging gap between biological artificial intelligence. evaluates feasibility technologies into platforms, assessing capacity, operational scalability. While show promise latency constraints, challenges remain electrolyte stability, framework standardization, real-world implementation. Future research must focus hybrid self-regulating distribution, material optimizations adaptability organisms. addressing challenges, this outlines a roadmap for reimagining robotics through principles, paving way applications healthcare, industrial automation, space exploration, environments.

Language: Английский

Citations

0