activity
20182022
most citedA Motion Taxonomy for Manipulation Embedding

13 citations · 15 across the 4 of their papers we have counts for

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8 papers · 1 filter

cs.RO2022

Grounding of the Functional Object-Oriented Network in Industrial Tasks

Rafik Ayari, Matteo Pantano, David Paulius

In this preliminary work, we propose to design an activity recognition system that is suitable for Industrie 4.0 (I4.0) applications, especially focusing on Learning from Demonstra…

cs.RO20212 cited

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…

cs.RO2021

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…

cs.RO202013 cited

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…

cs.RO2019

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…

cs.RO2019

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…