Clustering candidate poses from landmark pairs keeps humanoid soccer robot localization accurate under heavy false landmark detections.
Model predictive control with visibility graphs for humanoid path planning and tracking against adversarial opponents,
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CLAP: Clustering to Localize Across n Possibilities, A Simple, Robust Geometric Approach in the Presence of Symmetries
Clustering candidate poses from landmark pairs keeps humanoid soccer robot localization accurate under heavy false landmark detections.