13 citations · 29 across the 8 of their papers we have counts for
13 papers · 1 filter
Evaluating Recipes Generated from Functional Object-Oriented Network
Md Sadman Sakib, Hailey Baez, David Paulius +1
The functional object-oriented network (FOON) has been introduced as a knowledge representation, which takes the form of a graph, for symbolic task planning. To get a sequential pl…
A Road-map to Robot Task Execution with the Functional Object-Oriented Network
David Paulius, Alejandro Agostini, Yu Sun +1
Following work on joint object-action representations, the functional object-oriented network (FOON) was introduced as a knowledge graph representation for robots. Taking the form…
OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation
Ziyuan Liu, Wei Liu, Yuzhe Qin +8
In this paper, we propose a cloud-based benchmark for robotic grasping and manipulation, called the OCRTOC benchmark. The benchmark focuses on the object rearrangement problem, spe…
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…
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…
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…