C-Nav is a continual visual navigation framework with dual-path anti-forgetting via feature distillation and replay plus adaptive sampling that outperforms baselines on a new continual object navigation benchmark while using less memory.
L3mvn: Leveraging large language models for visual target navigation
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CRONA is a MARL framework that uses modality-specialized agents with auxiliary beliefs and a centralized multi-modal critic to achieve better performance and efficiency than single-agent baselines on visual-acoustic navigation tasks.
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C-NAV: Towards Self-Evolving Continual Object Navigation in Open World
C-Nav is a continual visual navigation framework with dual-path anti-forgetting via feature distillation and replay plus adaptive sampling that outperforms baselines on a new continual object navigation benchmark while using less memory.
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Cross-Modal Navigation with Multi-Agent Reinforcement Learning
CRONA is a MARL framework that uses modality-specialized agents with auxiliary beliefs and a centralized multi-modal critic to achieve better performance and efficiency than single-agent baselines on visual-acoustic navigation tasks.