A large-scale text analysis of 50,000 robotics papers reveals sustainability motivations and SDG references remain rare, with explicit mentions under 2% and 0.1% respectively.
9 Fitting Unknown Number of Hyperplanes with Manifold Optimization Li, Y ., Bu, R., Sun, M., Wu, W., Di, X., and Chen, B
2 Pith papers cite this work. Polarity classification is still indexing.
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A two-stage manifold optimization method on the sphere uses Riemannian EM with a heavy-tailed kernel and projected density initialization to fit an unknown number of hyperplanes, claiming better geometric accuracy than prior baselines.
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The Sustainability Gap in Robotics: A Large-Scale Survey of Sustainability Awareness in 50,000 Research Articles
A large-scale text analysis of 50,000 robotics papers reveals sustainability motivations and SDG references remain rare, with explicit mentions under 2% and 0.1% respectively.
-
Fitting Unknown Number of Hyperplanes with Manifold Optimization
A two-stage manifold optimization method on the sphere uses Riemannian EM with a heavy-tailed kernel and projected density initialization to fit an unknown number of hyperplanes, claiming better geometric accuracy than prior baselines.