Publication Details
| Article title: | Learning and Reconstruction of Mobile Robot Trajectories with LSTM Autoencoders: A Data-Driven Framework for Real-World Deployment |
|---|---|
| Publication type: | Article in foreign journal |
| Journal: | AI |
| Authors: | Babiuch Marek |
| Publication year: | 2025 |
| Database: | DOI |
| DOI: | 10.3390/ai6120302 |
| Scopus EID: | |
| WOS a.n.: | |
| OBD ID: | |
| Kvartil, Impact Factor: | Q1 IF = 4.6 |
| Vazba na projekty: |
[Refresh] REFRESH – Research Excellence for Region Sustainability and High-tech Industries project number (CZ.10.03.01/00/22 003/0000048) |
Bibliography Citation:
Krejčí, J., Babiuch, M., Krys, V., Bobovský, Z. Learning and Reconstruction of Mobile Robot Trajectories with LSTM Autoencoders: A Data-Driven Framework for Real-World Deployment. AI. 2025, 6(12), 302.