AZoRobotics

AZoRobotics

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#864609

United States

#638098

Science and Education/Science and Education

#1962

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  • 1 day ago | azorobotics.com | Bethan Davies |Soham Nandi

    Reviewed by Bethan DaviesAI is actively reshaping how research gets done. What started with symbolic logic has grown into something far more powerful, thanks to advances in machine learning and deep learning. Machines can now learn from data, adapt, and handle complex tasks that once needed human intuition.

  • 1 day ago | azorobotics.com | Bethan Davies |Soham Nandi

    Reviewed by Bethan DaviesA research team has developed a fully biodegradable, edible aquatic robot capable of monitoring water environments and safely decomposing without leaving behind waste—an innovation that merges soft robotics with ecological responsibility.

  • 2 days ago | azorobotics.com | Bethan Davies |Soham Nandi

    Reviewed by Bethan DaviesCan a robot figure out how heavy or soft an object is without using a single camera or force sensor? According to a recent arXiv paper, the answer is yes—and the solution lies entirely in how the robot moves. Researchers have introduced a method that estimates object properties like mass and stiffness using only proprioception, internal sensing from the robot’s own joints.

  • 6 days ago | azorobotics.com | Laura Thomson

    According to a study published in Science, an AMOLF research team developed a soft robot that walks, hops, and swims without a brain, electronics, or artificial intelligence. It is just soft tubes, air, plus some ingenious physics. Possible future applications include smart medicines and space technology. The study revealed one of the simplest and fastest soft robots to date. It lacks sensors, software, and a computer.

  • 6 days ago | azorobotics.com | Bethan Davies |Soham Nandi

    Reviewed by Bethan DaviesA powerful new AI model, SkinEHDLF, is setting a new standard in skin cancer detection—achieving near-perfect accuracy by combining the strengths of multiple deep learning architectures. A recent article in Nature details the development of SkinEHDLF, an advanced deep learning (DL) model designed for automated skin cancer classification.

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