Multi-Fingered Active Grasp Learning
by Brian Wang from NextBigFuture.com on (#63ARG)
This is a review of a 2020 academic paper about using learning systems to train robotics arms and hands to grasp objects. Learning-based approaches to grasp planning are preferred over analytical methods due to their ability to better generalize to new, partially observed objects. However, data collection remains one of the biggest bottlenecks for grasp ...