Peer-reviewedCC BYSensors (Basel, Switzerland)
ETPP: An Efficient Traversal Path Planning Framework for Autonomous Robot Exploration in Unknown Environments
- 1School of Automation, Central South University, No. 932 Lushan South Road, Changsha 410083, China; (L.Y.); (J.L.); (Z.C.)
- 2School of Intelligent Engineering and Intelligent Manufacturing, Hunan University of Technology and Business, No. 569 Yuelu Avenue, Changsha 410205, China;
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BibTeX
@article{yu2026etpp,
title = {{ETPP: An Efficient Traversal Path Planning Framework for Autonomous Robot Exploration in Unknown Environments}},
author = {Lingli Yu and Chengxiang Peng and Jiawei Luo and Kaijun Zhou and Zhixiang Chen},
journal = {Sensors (Basel, Switzerland)},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13667664},
note = {CC BY},
}
RIS
TY - JOUR
TI - ETPP: An Efficient Traversal Path Planning Framework for Autonomous Robot Exploration in Unknown Environments
AU - Lingli Yu
AU - Chengxiang Peng
AU - Jiawei Luo
AU - Kaijun Zhou
AU - Zhixiang Chen
PY - 2026
DA - 2026/09/27
JO - Sensors (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13667664
SN - 1424-8220
ER -