Archive 26.04.2024

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Built-in bionic computing

The use of pliable soft materials to collaborate with humans and work in disaster areashas drawn much recent attention. However, controlling soft dynamics for practical applications has remained a significant challenge. Researchers developed a method to control pneumatic artificial muscles, which are soft robotic actuators. Rich dynamics of these drive components can be exploited as a computational resource.

Robotic nerve ‘cuffs’ could help treat a range of neurological conditions

Researchers have developed tiny, flexible devices that can wrap around individual nerve fibers without damaging them. The researchers combined flexible electronics and soft robotics techniques to develop the devices, which could be used for the diagnosis and treatment of a range of disorders, including epilepsy and chronic pain, or the control of prosthetic limbs.

Autonomous Flying in a Swarm BionicBee – ultralight flying object with precise control

With the BionicBee, the Bionic Learning Network has now for the first time developed a flying object that can fly in large numbers and completely autonomously in a swarm. The BionicBee will present its first flight show at the Hannover Messe 2024.

Underwater robot pioneers new energy-efficient buoyancy control

A remotely operated underwater robot built by a team of Rice University engineering students pioneers a new way to control buoyancy via water-splitting fuel cells. The device, designed and constructed at the Oshman Engineering Design Kitchen over the course of a year-long senior design capstone class, offers a more power-efficient method of maintaining neutral buoyancy—a critical component in underwater operations.

Computer vision researcher develops privacy software for surveillance videos

Computer vision can be a valuable tool for anyone tasked with analyzing hours of footage because it can speed up the process of identifying individuals. For example, law enforcement may use it to perform a search for individuals with a simple query, such as 'Locate anyone wearing a red scarf over the past 48 hours.'

Study explores why human-inspired machines can be perceived as eerie

Artificial intelligence (AI) algorithms and robots are becoming increasingly advanced, exhibiting capabilities that vaguely resemble those of humans. The growing similarities between AIs and humans could ultimately bring users to attribute human feelings, experiences, thoughts, and sensations to these systems, which some people perceive as eerie and uncanny.

Swedish research project makes several advancements toward the autonomous airport of the future

A three-year research project at Mid Sweden University has made several advancements in creating the airport of the future with safe and cost-effective solutions, including autonomous measurements of the runway surface as well as more opportunities to monitor vehicles and drones at airports.

Virtual sensors help aerial vehicles stay aloft when rotors fail

No crystal ball is needed to envision a future that engineers have in mind, one in which air taxis and other flying vehicles ferry passengers between urban locations, avoiding the growing gridlock on the ground below. Companies are already prototyping and testing such hybrid electric "flying cars" that take off and land vertically but soar through the air like winged aircraft to enable efficient flight over longer distances.

Advancing the safety of AI-driven machinery requires closer collaboration with humans

An ongoing research aims to create adaptable safety systems for highly automated off-road mobile machinery to meet industry needs. Research has revealed critical gaps in compliance with legislation related to public safety when using mobile working machines controlled by artificial intelligence.

ZIMMER GROUP’S NEW ZIMO FLEXIBLE ROBOT CELL SMOOTHS THE PATH TO AUTOMATION

There are few who would argue that the combination of labor and skills shortages, together with the drive to attain greater levels of productivity, means that automation is now becoming an essential part of manufacturing for a greater number of businesses, especially SMEs.
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