Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions
Abstract
We present a commonsense, qualitative model for the semantic grounding of embodied visuo-spatial and locomotive interactions. The key contribution is an integrative methodology combining low-level visual processing with high-level, human-centred representations of space and motion rooted in artificial intelligence. We demonstrate practical applicability with examples involving object interactions, and indoor movement.
Cite
Text
Suchan and Bhatt. "Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions." IEEE/CVF International Conference on Computer Vision Workshops, 2017. doi:10.1109/ICCVW.2017.93Markdown
[Suchan and Bhatt. "Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions." IEEE/CVF International Conference on Computer Vision Workshops, 2017.](https://mlanthology.org/iccvw/2017/suchan2017iccvw-commonsense/) doi:10.1109/ICCVW.2017.93BibTeX
@inproceedings{suchan2017iccvw-commonsense,
title = {{Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions}},
author = {Suchan, Jakob and Bhatt, Mehul},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2017},
pages = {742-750},
doi = {10.1109/ICCVW.2017.93},
url = {https://mlanthology.org/iccvw/2017/suchan2017iccvw-commonsense/}
}