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NTU Singapore scientists develop grain-sized soft robots controlled by magnetic fields for targeted drug delivery

Researchers developed grain-sized soft robots that can transport up to four different drugs, release them in reprogrammable orders and doses, and navigate complex environments inside the human body. The robots' precision functions have the potential to significantly improve therapeutic outcomes while minimizing side effects.

SourceNanyang Technological University·JournalAdvanced Materials·TypeExperimental study·DateOct 24, 2024

Texas A&M teams up to advance robotic dexterity

The Human AugmentatioN via Dexterity (HAND) center aims to develop robots capable of enhancing human labor through engineered systems of dexterous robotic hands, AI-powered fine motor skills, and human interface. The center's goal is to make robotic assistance accessible and applicable to a wide range of physical actions.

PolyU researchers invent intelligent soft robotic clothing for automatic thermal adaptation in extreme heat

Researchers at PolyU have developed a new type of thermally-insulated and breathable soft robotic clothing that can automatically adapt to changing ambient temperatures. This innovative clothing uses soft actuators to trap a layer of air and increase thermal resistance, reducing heat stress and discomfort in high-temperature environments.

SourceThe Hong Kong Polytechnic University·JournalAdvanced Science·TypeExperimental study·DateAug 15, 2024

Foam fluidics showcase Rice lab’s creative approach to circuit design

Engineers have shown that air flow through open-cell foam can be used to perform digital computation, analog sensing, and combined digital-analog control in soft textile-based wearable systems. The researchers designed foam-based fluidic resistors to create two-dimensional pneumatic logic circuits embedded in textile-based devices.

SourceRice University·JournalAdvanced Functional Materials·TypeExperimental study·DateJul 24, 2024

New soft multifunctional sensors mark a step forward for physical AI

Researchers at Ben-Gurion University's PAI Lab developed groundbreaking multifunctional material-sensors that emulate natural systems, advancing Physical AI. The sensors can process diverse signals concurrently through ions and electrons, enabling versatile and lifelike interactions in fields like robotics and healthcare.

SourceBen-Gurion University of the Negev·JournalChemical Engineering Journal·TypeExperimental study·DateJul 15, 2024

Portable engine powers artificial muscles in assistive devices

Researchers at North Carolina State University have developed a lightweight fluidic engine that can power muscle-mimicking soft robots for use in assistive devices. The new engine generates significant force and is untethered to an external power source, making it particularly attractive for improving people's ability to move their upp...

SourceNorth Carolina State University·JournalAdvanced Intelligent Systems·TypeExperimental study·DateJul 1, 2024

Unraveling the physics of knitting

Researchers have developed a mathematical theory of knitted materials, enabling the creation of programmable textiles with adjustable elasticity. The study, led by Georgia Tech physicists, explores the relationships between yarn manipulation, stitch patterns, and fabric behavior to expand knitting's applications beyond clothing.

SourceGeorgia Institute of Technology·JournalNature Communications·TypeExperimental study·DateJun 4, 2024

Caterbot? Robatapillar? It crawls with ease through loops and bends

Researchers at Princeton University and North Carolina State University have combined ancient paperfolding and modern materials science to create a soft robot that can bend and twist through mazes with ease. The new design allows the flexible robot to crawl forward and reverse, pick up cargo and assemble into longer formations.

SourcePrinceton University, Engineering School·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateMay 6, 2024

Built-in bionic computing

Researchers have created a method to control pneumatic artificial muscles with embedded bifurcation structures, which can generate diverse dynamics and patterns. This breakthrough enables robots to exhibit more adaptable and flexible movements, streamlining hardware and software development.

SourceKyoto University·JournalAdvanced Science·TypeExperimental study·DateApr 25, 2024

Bringing bio-inspired robots to life

Eric Markvicka is developing a manufacturing approach to produce novel liquid metal mixtures with enhanced properties, including thermal and electrical conductivity. These mixtures can be used in additive manufacturing and accelerate momentum toward 4D printing, enabling the creation of machines that mimic biological organisms.

Rice research could advance soft robotics manufacturing, design

A team of Rice University researchers has developed an analytical model that can predict the curing time of platinum-catalyzed silicone elastomers as a function of temperature. The model could help reduce energy waste and improve throughput for elastomer-based components manufacturing, enabling more efficient soft robotics design.

SourceRice University·JournalCell Reports Physical Science·DateMar 18, 2024

Artificial muscles – lighter, safer, more robust

Researchers have created artificial muscles that contract in response to electrical impulses, using a liquid-filled pouch with electrodes. The HALVE actuators can store energy well, lift weights, and are now waterproof and more robust than previous models.

SourceETH Zurich·JournalScience Advances·TypeObservational study·DateJan 30, 2024

Shuffling robot uses biological muscle to move and spin

Researchers at the University of Tokyo have created a two-legged biohybrid robot capable of walking and pivoting underwater. The robot uses lab-grown skeletal muscle tissue to move its legs, achieving efficient and silent movements. Future iterations aim to develop thicker muscles with nutrient supplies to enable robots to walk on land.

SourceUniversity of Tokyo·JournalMatter·TypeExperimental study·DateJan 26, 2024

Exposure to soft robots decreases human fears about working with them

A Washington State University study found that watching videos of a soft robot working with a person at picking and placing tasks lowered the viewers' safety concerns and feelings of job insecurity. Soft robots have a potential psychological advantage over rigid robots, as proximity does not increase negative reactions.

SourceWashington State University·JournalIISE Transactions on Occupational Ergonomics and Human Factors·DateDec 5, 2023

Magnetic soft robots are spread like butter

Researchers designed magnetic soft robots using a mixture of magnetic particles and non-Newtonian fluidic soft materials to achieve programmable hardening, controlled adhesion, and flexible deployment. The robots demonstrate enhanced stiffness, output forces, and reconfiguration capabilities for various medical applications.

SourceResearch·JournalResearch·TypeExperimental study·DateNov 8, 2023

Plant-based isn't just about burgers anymore

A team of University of Waterloo researchers has developed bio-compatible and non-toxic hydrogel composites using sustainable cellulose nanoparticles derived from plants. The tiny robots have the potential to conduct medical procedures, such as biopsy, and cell and tissue transport in a minimally invasive fashion.

SourceUniversity of Waterloo·JournalNature Communications·DateOct 23, 2023

Unlocking innovation: Multistable mechanical metamaterials’ evolution in design, manufacturing, and applications

Multistable mechanical metamaterials can switch between multiple stable configurations under external loading, making them reusable and efficient for quick action. Their unique properties make them promising for various engineering applications, including energy absorption, soft actuators/robots, and wave control.

SourceInternational Journal of Extreme Manufacturing·JournalInternational Journal of Extreme Manufacturing·DateOct 10, 2023