All posts by Robotics News - Robot News, Robotics, Robots, Robotics Sciences

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Artificial intelligence makes gripping of prosthetic hands more intuitive

Artificial hands can be operated via app or with sensors placed in the muscles of the forearm. New research from the Technical University of Munich (TUM) shows that a better understanding of muscle activity patterns in the forearm supports a more intuitive and natural control of artificial limbs. This requires a network of 128 sensors and AI-based techniques.

A drone with microphone arrays to hear and help victims in disaster zones

When a natural disaster such as an earthquake occurs, every minute counts. Unmanned aerial vehicles (UAVs) are often used to assist the search for survivors as they can provide an initial overview of difficult-to-reach areas and help to detect victims—provided they are visible.

Using drones to protect wind turbines from ice

Damp, cold conditions are the enemy of wind power. If a layer of ice forms on the rotor blades, this can result in rotational imbalance and, hence, increased wear. In such cases, the turbines often have to be shut down for several days, leading to massive losses for the operators due to the pause in electricity production.

Anthrobots: Scientists build tiny biological robots from human tracheal cells

Researchers at Tufts University and Harvard University's Wyss Institute have created tiny biological robots that they call Anthrobots from human tracheal cells that can move across a surface and have been found to encourage the growth of neurons across a region of damage in a lab dish.

Octopus-inspired robot arm can grab and lift a toy shark using suction

A team of engineers at Beihang University, working with a colleague from Tsinghua University, both in China, has designed, built and tested a haptically controlled octopus robot arm that is capable of grasping, lifting and carrying objects on land and underwater. In an article published in the journal Science Robotics, the group describes how they built their robot, how it works and how well it performed when tested under a variety of scenarios.

Using large language models to code new tasks for robots

You've likely heard that "experience is the best teacher"—but what if learning in the real world is prohibitively expensive? This is the plight of roboticists training their machines on manipulation tasks. Real-world interaction data is costly, so their robots often learn from simulated versions of different activities.

An approach that allows robots to learn in changing environments from human feedback and exploration

To best assist humans in real-world settings, robots should be able to continuously acquire useful new skills in dynamic and rapidly changing environments. Currently, however, most robots can only tackle tasks that they have been previously trained on and can only acquire new capabilities after further training.
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