De Momi paper published on "Frontiers in Robotics and AI"
October 7th, 2016
Abstract
Elena De Momi, DEIB assistant professor, led an international team that recently published the paper "A Neural Network-Based Approach for Trajectory Planning in Robot–Human Handover Tasks" in the open access journal "Frontiers in Robotics and AI (Artificial Intelligence)".
De Momi’s work indicates that humans and robots can effectively coordinate their actions during high-stakes events such as surgeries.
Further information is available on the article written by Marcus Banks and it has been picked up by a number of places:
Qmed:
http://www.qmed.com/mpmn/medtechpulse/9-ways-robots-are-getting-so-much-better
Robohub:
http://robohub.org/robots-can-successfully-imitate-human-motions-in-the-operating-room/
Eurekalert:
https://www.eurekalert.org/pub_releases/2016-10/f-ynn100516.php
De Momi’s work indicates that humans and robots can effectively coordinate their actions during high-stakes events such as surgeries.
Further information is available on the article written by Marcus Banks and it has been picked up by a number of places:
Qmed:
http://www.qmed.com/mpmn/medtechpulse/9-ways-robots-are-getting-so-much-better
Robohub:
http://robohub.org/robots-can-successfully-imitate-human-motions-in-the-operating-room/
Eurekalert:
https://www.eurekalert.org/pub_releases/2016-10/f-ynn100516.php