Online Goal Recognition Using Path Signature and Dynamic Time Warping
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 6199-6207.
https://doi.org/10.24963/ijcai.2026/690
Keywords
- Planning and Scheduling: Activity and plan recognition
- Planning and Scheduling: Applications
Abstract
Online goal recognition in continuous domains poses two central challenges: efficiently encoding large trajectories and effectively comparing them.
Recent work addresses these challenges by using custom state-space representations and metrics to compare observations against hypotheses.
However, these approaches often overlook well-established encoding techniques used in other domains that offer substantial advantages.
This paper introduces a novel method for online goal recognition that leverages path signatures, a compact, expressive representation of rough path theory that captures key semantic features of trajectories in an efficient way, enabling more meaningful comparisons between them.
Experiments show that our method consistently outperforms the state of the art in predictive accuracy and online planning efficiency, while remaining competitive offline.
@inproceedings{ijcai2026p690,
title = {Online Goal Recognition Using Path Signature and Dynamic Time Warping},
author = {Tesch, Douglas and Gavenski, Nathan and Rosa Amado, Leonardo and Rodrigues, Odinaldo and Meneguzzi, Felipe},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {6199--6207},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/690},
url = {https://doi.org/10.24963/ijcai.2026/690},
}
TY - CPAPER TI - Online Goal Recognition Using Path Signature and Dynamic Time Warping AU - Tesch, Douglas AU - Gavenski, Nathan AU - Rosa Amado, Leonardo AU - Rodrigues, Odinaldo AU - Meneguzzi, Felipe T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 6199 EP - 6207 DO - 10.24963/ijcai.2026/690 UR - https://doi.org/10.24963/ijcai.2026/690 ER -Copied
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