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🗣️In a new op-ed for @tes, our Engagement Lead Michelle McLeod explores the relationship between 🧑🤝🧑 and 🤖, and how building trust in robots like #Ameca is key to greater adoption in schools.
🔗https://www.tes.com/magazine/teaching-learning/general/how-robots-and-pupils-might-interact-classroom-learning-ai
@lasswadeps @LasswadeHSC @engineered_arts @HWUNews
A recent school visit to meet our newest humanoid robot #Ameca was featured on the @itvnews!🤖
The piece follows @lasswadeps pupils interacting with the advanced #humanoid, asking it q's & playing games 🪨🧻✂️
📺
@HWUNews @engineered_arts @HeriotWattUni
Academic co-lead at The National Robotarium
Heriot-Watt University
Edinburgh, Scotland
UK EH14 4AS
Scottish registered charity number SC000278
The University of Edinburgh
Edinburgh, Scotland
EH8 9YL
Scottish registered charity number SC005336
National Robotarium Project Manager inducted into UK Young Academy
/in News/by Louise JackDr Karen Donaldson, a Project Manager at the National Robotarium, has been announced today (10 Jan) as one of the first inductees to the UK Young Academy – a network of early career researchers and professionals established to help tackle local and global issues and promote meaningful change. As part of the first cohort of […]
DDI publishes inaugural annual report
/in Heriot-Watt University, News, University of Edinburgh/by Louise JackAutonomous 3D-mapping technology and robotic surgery created by researchers at the National Robotarium are just two of the highlights in the inaugural Data-Driven Innovation (DDI) Annual Report. The report, available to view via this link, highlights progress across a range of projects at Heriot-Watt University and The University of Edinburgh, partnership hosts of the six […]
New project uses AI and robotics to help early detection of urinary tract infections
/in Heriot-Watt University, News, Research, University of Edinburgh/by Louise JackTechnology at the National Robotarium will be used by a team of researchers from the University of Edinburgh and Heriot-Watt University to develop artificial intelligence (AI) and socially assistive robots to detect urinary tract infections (UTIs) earlier. The FEATHER project aims to reduce the number of serious adverse outcomes that can result from late or […]