13 citations · 31 across the 10 of their papers we have counts for
4 papers · 1 filter
Developing Motion Code Embedding for Action Recognition in Videos
Maxat Alibayev, David Paulius, Yu Sun
In this work, we propose a motion embedding strategy known as motion codes, which is a vectorized representation of motions based on a manipulation's salient mechanical attributes.…
Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization
Yongqiang Huang, Juan Wilches, Yu Sun
Pouring is one of the most commonly executed tasks in humans' daily lives, whose accuracy is affected by multiple factors, including the type of material to be poured and the geome…
Estimating Motion Codes from Demonstration Videos
Maxat Alibayev, David Paulius, Yu Sun
A motion taxonomy can encode manipulations as a binary-encoded representation, which we refer to as motion codes. These motion codes innately represent a manipulation action in an…
A Motion Taxonomy for Manipulation Embedding
David Paulius, Nicholas Eales, Yu Sun
To represent motions from a mechanical point of view, this paper explores motion embedding using the motion taxonomy. With this taxonomy, manipulations can be described and represe…