Shuijing725/awesome-robot-social-navigation
A curated list of robot social navigation.
Curates research spanning surveys, datasets, simulators, and methods for robot navigation in human environments, covering model-based approaches (velocity obstacles), learning-based techniques (supervised and reinforcement learning), and hybrid methods. Organizes resources across 2D/3D simulation platforms like CrowdNav and AI Habitat, real-world datasets (JackRabbot, MuSoHu), and emerging foundation model approaches for social compliance and explainability in dynamic crowds.
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BSD-3-Clause
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Last pushed
Feb 02, 2026
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