DP-GMM based probabilistic frontier prioritization enhances two multi-agent exploration algorithms with average gains of 10% and 14% in simulations across varied conditions and real dual-drone tests.
Scikit-learn: Machine Learning in Python
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Enhancing Multi-Robot Exploration Using Probabilistic Frontier Prioritization with Dirichlet Process Gaussian Mixtures
DP-GMM based probabilistic frontier prioritization enhances two multi-agent exploration algorithms with average gains of 10% and 14% in simulations across varied conditions and real dual-drone tests.