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1 week ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesResearchers have developed two advanced haptic devices that enhance robotic teleoperation by providing more intuitive and precise control in hazardous industrial environments, addressing a long-standing gap in safety and usability.
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1 week ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesDrones are taking off, but so are regulatory concerns. The rapid adoption of drones across commercial, military, and recreational sectors is reshaping industries—but it’s also raising serious concerns around safety, privacy, and airspace integrity. Unregulated use can lead to mid-air collisions, unauthorized surveillance, and disruptions to controlled zones.
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1 week ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesResearchers have developed a light-driven robotic material that autonomously purifies water, propels itself across surfaces, and runs entirely on sunlight—no batteries, motors, or electronics required. Published in PhotoniX, the study introduces a multifunctional foam built from reduced graphene oxide (RGO), titanium carbide MXene, and titanium dioxide (Ti3C2Tx–TiO2).
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1 week ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesNASA’s Perseverance rover is now investigating a region on Mars known as “Krokodillen,” an area that may hold some of the oldest rocks on the planet. This site could offer rare insights into early Martian environments—possibly even signs of ancient water or life. NASA scientists are also testing a new sampling strategy that allows selected rock cores to remain unsealed, giving the mission added flexibility as exploration continues.
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2 weeks ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesIn a major leap for genetics, scientists from MIT and UMass Medical School have uncovered how the human genome folds into a three-dimensional, knot-free structure, called a fractal globule, that allows cells to tightly pack DNA while keeping key genes accessible. Their findings explain how nearly two meters of DNA fit inside a cell nucleus just microns wide, all while supporting essential processes like gene expression and replication.
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2 weeks ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesResearchers have developed a robotic hand that closely mimics human grasping, achieving a 93 % success rate across diverse objects—a significant step forward in adaptive robotic manipulation. In a recent Nature article, researchers introduced the Adaptive Dexterous Anthropomorphic Programmable Stiffness Hand (ADAPT Hand)—a robotic hand designed to closely mimic the way humans grasp objects.
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2 weeks ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesResearchers have developed “link-bots”—modular, self-propelled chains that achieve complex group behaviors using only basic geometric connections and vibration. In a recent Science Advances article, the team introduced V-shaped, synthetic active chains that demonstrate collective behaviors like movement, navigation, and object manipulation through straightforward physical interactions. These modular bots rely on simple linking mechanisms rather than complex components.
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2 weeks ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesIn a major step forward for Parkinson’s care, researchers have used machine learning and UK Biobank data to predict who is most at risk of developing Parkinson’s disease dementia (PDD), highlighting genetics and treatable conditions like hypertension and diabetes as key factors.
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3 weeks ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesResearchers recently examined how well multimodal large language models (MLLMs) can evaluate weld quality in industrial settings. Drawing on expert-annotated datasets from both real-world and online images, the study found that while these models tend to perform better on familiar, publicly sourced images, they can also handle previously unseen, real-world welds with reasonable effectiveness.
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3 weeks ago | 
azorobotics.com | Bethan Davies |Soham Nandi
Reviewed by Bethan DaviesResearchers have introduced a new approach to sequence modeling called linear oscillatory state-space (LinOSS) models, designed for efficient learning on long sequences. Drawing inspiration from biological neural dynamics, LinOSS leverages forced harmonic oscillators to provide stable, time-reversible, and expressive modeling, without the need for restrictive parameterizations. In benchmark tests, it consistently outperforms leading sequence models.
