Robohub.org
Human & robot team up for high-tech harvest | Precision Pays
When apples are in clusters or obscured by leaves and branches, a robot requires complex algorithms and long computational time to identify them. Humans, on the other hand, can very quickly identify fruits in these situations. Working together in a mobile system in the field, the fruit is identified in real time faster than by human or machine alone.
See on precisionpays.com
John Payne
Related posts :
Robot Talk Episode 100 – Mini Rai
In the latest episode of the Robot Talk podcast, Claire chatted to Mini Rai from Orbit Rise about orbital and planetary robots.
29 November 2024, by
Robot Talk
Robot Talk Episode 99 – Joe Wolfel
In the latest episode of the Robot Talk podcast, Claire chatted to Joe Wolfel from Terradepth about autonomous submersible robots for collecting ocean data.
22 November 2024, by
Robot Talk
Robot Talk Episode 98 – Gabriella Pizzuto
In the latest episode of the Robot Talk podcast, Claire chatted to Gabriella Pizzuto from the University of Liverpool about intelligent robotic manipulators for laboratory automation.
15 November 2024, by
Robot Talk
Online hands-on science communication training – sign up here!
Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.
13 November 2024, by
AIhub
Robot Talk Episode 97 – Pratap Tokekar
In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.
08 November 2024, by
Robot Talk
Robot Talk Episode 96 – Maria Elena Giannaccini
In the latest episode of the Robot Talk podcast, Claire chatted to Maria Elena Giannaccini from the University of Aberdeen about soft and bioinspired robotics for healthcare and beyond.
01 November 2024, by
Robot Talk
