Robots could help perform the "dull, dirty, and dangerous" pandemic response jobs, limiting human exposure to COVID-19.
Robots that express vulnerability influences conversational dynamics between humans.
When standard algorithms for self-balancing robots are replaced by algorithms based on perceptual control theory, the robots are better able to balance.
Doctors have successfully used robotic technology to treat brain aneurysms. The robotic system could eventually allow remote surgery, enabling surgeons to treat brain disorders that require surgery from afar.
Human-robot interaction and monitoring motor movement may provide clues to developmental disorders such as ADHD and autism in children.
Researchers have developed a new, low-cost smart diaper which combines current diaper materials and RFID technology. The diaper can alert caregivers when it is wet and needs changing.
The way neurons are structured, and the patterns they make can be used to explain how they behave and function. The findings have implications for creating intelligent robots.
Young children are better able to understand what they are studying when they learn alongside a social robot.
Much of a sea star's locomotion is determined by local sensory-motor response at the tube feet level as opposed to global sensory-motor commands. It appears the nervous system relies on the physics of the interaction between the body and the environment to control movement. The findings will help with the development of new robotic systems that utilize a decentralized component to learn hierarchically.
Microscopic 'xenobots' created from frog embryo stem cells promise advances from drug delivery to neurological waste clean up.
Discouraging words from a robot can hinder a person's ability to play a game.
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··3 min readA new robotic fly, dubbed Deep3DFly, uses active learning to improve its performance.
