Pages tagged with: robotics
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EPIC
EPIC: A collaborative project seeking to help grow eHealth businesses and improve health, wellbeing and enhance the care quality by using eHealth technology
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Robots will never replace teachers but can boost children’s education
A study led by the University of Plymouth's Professor Tony Belpaeme suggests robots can play an important role in the education of young people but will never fully replace teachers.
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Robots have power to significantly influence children’s opinions
A study published in Science Robotics, and conducted at the University of Plymouth, provides an interesting insight into how robots could be used positively within society.
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Agricultural robots
Understand how researchers at the University of Plymouth are investigating autonomous harvesting.
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University spinout signs agreement to field test harvesting robots
Fieldwork Robotics, created by Lecturer in Robotics Dr Martin Stoelen, has signed an agreement with the Hall Hunter Partnership to prototype and field test a raspberry harvesting robot system
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Could robots be counsellors? Early research shows positive user experience
New research by the School of Psychology has shown for the first time that a social robot can deliver a ‘helpful’ and ‘enjoyable’ motivational interview (MI) – a counselling technique designed to support behaviour change.
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Abishek Kalpathi: meet the robotics enthusiast
Discover how Abishek Kalpathi came to the University of Plymouth from India and found a community to work and play in
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University spinout receives increased support to develop agricultural robots
University of Plymouth news: Fieldwork Robotics, a University of Plymouth spinout company developing robotic solutions for the agriculture and produce industry, is to receive increased support from the University’s commercialisation partners, Frontier IP
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Researchers use artificial intelligence to predict probability of life on other planets
A project led by PhD student Christopher Bishop and Professor in Artificial Intelligence and Cognition Angelo Cangelosi, from the University of Plymouth, is using artificial neural networks to predict the probability of life on other planets