no code implementations • 29 Dec 2023 • Alejandro Agostini, Justus Piater
In task and motion planning (TAMP), the ambiguity and underdetermination of abstract descriptions used by task planning methods make it difficult to characterize physical constraints needed to successfully execute a task.
no code implementations • 12 Jul 2022 • David Paulius, Alejandro Agostini, Dongheui Lee
We demonstrate our entire approach on long-horizon tasks in CoppeliaSim and show how learned action contexts can be extended to never-before-seen scenarios.
no code implementations • 1 Jun 2021 • David Paulius, Alejandro Agostini, Yu Sun, Dongheui Lee
Following work on joint object-action representations, the functional object-oriented network (FOON) was introduced as a knowledge graph representation for robots.
no code implementations • 16 Jul 2020 • Alejandro Agostini, Dongheui Lee
To tackle these limitations we propose an object-centered representation that permits characterizing a much wider set of possible changes in configuration spaces than the traditional observer perspective counterpart.