Obstacle Avoidance in a Crowd With a Plastic Recurrent Mushroom Body Model

In safety-critical environments, effective obstacle avoidance requires robots to navigate safely while minimizing power consumption to sustain endurance. Continuous memory plays a crucial role in predicting pedestrian intentions, allowing for more accurate and proactive navigation. While conventiona...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Liying Tao, Zonglin Yang, Gaoming Li, Delong Shang
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Spiking neural networks safe obstacle avoidance in a crowd spatio-temporal memory sparse computing
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10852307/