Robots relying on AI to learn a new task generally require a laborious and repetitious training process. University of California, Berkeley researchers are attempting to simplify and shorten that with an innovative learning technique that has the robot filling in the gaps rather than starting from scratch.
The team shared several lines of work with TechCrunch to show at TC Sessions: Robotics today and in the video below you can hear about them — first from UC Berkeley researcher Stephen James.
[youtube https://www.youtube.com/watch?v=h8AUJwPdTIE?version=3&rel=1&showsearch=0
コメント