13 citations · 29 across the 8 of their papers we have counts for
5 papers · 1 filter
Manipulation Motion Taxonomy and Coding for Robots
David Paulius, Yongqiang Huang, Jason Meloncon +1
This paper introduces a taxonomy of manipulations as seen especially in cooking for 1) grouping manipulations from the robotics point of view, 2) consolidating aliases and removing…
Accurate Robotic Pouring for Serving Drinks
Yongqiang Huang, Yu Sun
Pouring is the second most frequently executed motion in cooking scenarios. In this work, we present our system of accurate pouring that generates the angular velocities of the sou…
Joint Object and State Recognition using Language Knowledge
Ahmad Babaeian Jelodar, Yu Sun
The state of an object is an important piece of knowledge in robotics applications. States and objects are intertwined together, meaning that object information can help recognize…
Task Planning with a Weighted Functional Object-Oriented Network
David Paulius, Kelvin Sheng Pei Dong, Yu Sun
In reality, there is still much to be done for robots to be able to perform manipulation actions with full autonomy. Complicated manipulation tasks, such as cooking, may still requ…
Functional Object-Oriented Network for Manipulation Learning
David Paulius, Yongqiang Huang, Roger Milton +3
This paper presents a novel structured knowledge representation called the functional object-oriented network (FOON) to model the connectivity of the functional-related objects and…