ML Anthology

The Aspect Transition Graph: An Affordance-Based Model

Li Yang Ku, Shiraj Sen, Erik G. Learned-Miller, Roderic A. Grupen
ECCVW 2014 pp. 459-465
doi:10.1007/978-3-319-16181-5_36 /eccvw/2014/ku2014eccvw-aspect/

Abstract

In this work we introduce the Aspect Transition Graph (ATG), an affordance-based model that is grounded in the robot’s own actions and perceptions. An ATG summarizes how observations of an object or the environment changes in the course of interaction. Through the Robonaut 2 simulator, we demonstrate that by exploiting these learned models the robot can recognize objects and manipulate them to reach certain goal state.

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Cite

Text

Ku et al. "The Aspect Transition Graph: An Affordance-Based Model." European Conference on Computer Vision Workshops, 2014. doi:10.1007/978-3-319-16181-5_36

Markdown

[Ku et al. "The Aspect Transition Graph: An Affordance-Based Model." European Conference on Computer Vision Workshops, 2014.](https://mlanthology.org/eccvw/2014/ku2014eccvw-aspect/) doi:10.1007/978-3-319-16181-5_36

BibTeX

@inproceedings{ku2014eccvw-aspect,
  title     = {{The Aspect Transition Graph: An Affordance-Based Model}},
  author    = {Ku, Li Yang and Sen, Shiraj and Learned-Miller, Erik G. and Grupen, Roderic A.},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2014},
  pages     = {459-465},
  doi       = {10.1007/978-3-319-16181-5_36},
  url       = {https://mlanthology.org/eccvw/2014/ku2014eccvw-aspect/}
}