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Researchers determine how the brain controls robotic grasping tools

Grasping an object involves a complex network of brain functions. First, visual cues are processed in specialized areas of the brain. Then, other areas of the brain use these signals to control the hands to reach for and manipulate the desired object. New findings suggest that the cerebellum, a region of the brain that has changed very little over time, may play a critical role. Findings could lead to advancements in assistive technologies benefiting the disabled.

Feb 3rd, 2015

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A robot that grows

Scientists in Italy are working on creating robots that mimic the properties of plant roots, including the capacity for growth. They believe the potential future applications are not just the stuff of science-fiction.

Jan 29th, 2015

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Robots as multifunctional gentlemen

Researchers have developed a new service robot model centred on the concept of a universal helper for everyday scenarios: the fourth generation of the Care-O-Bot.

Jan 15th, 2015

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Artificial intelligence: Brain-training for baseball robot

Researchers have created a model of the cerebellum comprising over 100,000 'neurons' - which was implemented on dedicated hardware for parallel computing known as a graphics processing unit (GPU) - s able to train a robot to accurately hit a ball bowled in real-time.

Dec 24th, 2014

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First steps for Hector the robot stick insect (w/video)

Inspired by a stick insect, Hector has passive elastic joints and an ultralight exoskeleton. What makes it unique is that it is also equipped with a great number of sensors and it functions according to a biologically inspired decentralized reactive control concept: the Walknet.

Dec 16th, 2014

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