Justus H. Piater — accepted AI-conference papers

2020

Manipulation Planning Using Object-Centered Predicates and Hierarchical Decomposition of Contextual Actions

Alejandro Agostini, Matteo Saveriano, Dongheui Lee, Justus H. Piater

RA-L 2020

Current approaches combining task and motion planning require intensive geometric and symbolic reasoning to find feasible motions for task execution. The poor expressiveness of task planning domains for characterizing geometric changes with actions and the difficulties faced by current approaches to

Cited by 21 Source ↗Scholar ↗

2018

Exercising Affordances of Objects: A Part-Based Approach

Safoura Rezapour Lakani, Antonio Jose Rodríguez-Sánchez, Justus H. Piater

RA-L 2018

This study shows how learning relations between affordances facilitates performing robotic tasks. Tasks usually involve multiple affordances. For example, for pounding a nail with a hammer, grasp-ability and pound-ability of the hammer are important for performing the pounding task successfully. Fur

Cited by 15 Source ↗Scholar ↗