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Robotics

·March 5, 2020·2 min read

Robots on the march to walking like humans

When standard algorithms for self-balancing robots are replaced by algorithms based on perceptual control theory, the robots are better able to balance.

This shows a surgeon using the robotic system

Featured Neurology Neuroscience

·February 23, 2020·2 min read

Surgeons successfully treat brain aneurysms using a robot

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.

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·February 20, 2020·4 min read

Baby’s Kicks Provide Clues About Infant Development

Human-robot interaction and monitoring motor movement may provide clues to developmental disorders such as ADHD and autism in children.

This is a diagram of a baby and the diaper

Featured Neuroscience

·February 16, 2020·6 min read

Low-cost “smart” diaper can notify caregiver when it’s wet

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.

Featured Neuroscience

·January 30, 2020·2 min read

Patterns in the brain shed new light on how we function

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.

Featured Neuroscience Psychology

·January 21, 2020·3 min read

Young children benefit from learning with a social robot

Young children are better able to understand what they are studying when they learn alongside a social robot.

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·January 19, 2020·6 min read

Findings about sea star locomotion could aid in development of simpler, decentralized systems in robotics

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.