Article

Cognitive Embodied Learning for Anomaly Active Target Tracking

2025-01-28

Abstract excerpt

<title>Abstract</title> <p>The primary challenge in active object tracking (AOT) lies in maintaining robust and accurate tracking performance in the complex physical scenarios. Existing end-to-end frameworks based on deep learning and reinforcement learning often struggle with high computational costs, data dependency, and limited generalization, hindering their performance in practical applications. Although emb...

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Literature Corpus work: b2a1fe3e-8285-5473-8e10-d9d63a4f75d4
DOI: 10.21203/rs.3.rs-5789601/v1

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