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Updated: Jul 2, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Published on: March 2, 2015

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新SLAM:使用大脑计算模型的长期SLAM

Carlos Alexandre Pontes Pizzino1, Ramon Romankevicius Costa1, Daniel Mitchell2

  • 1PEE/COPPE-Department of Electrical Engineering, Federal University of Rio de Janeiro, Cidade Universitária, Centro de Tecnologia, Bloco H, Rio de Janeiro 21941-972, RJ, Brazil.

Sensors (Basel, Switzerland)
|February 24, 2024
PubMed
概括

NeoSLAM是一种新的长期视觉SLAM,使用大脑启发的模型来准确地定位机器人. 这种基于神经科学的方法增强了循环关闭检测,提高了在具有挑战性的环境中的性能.

关键词:
生物启发的机器人时间记忆是层次化的时间记忆.长期视觉 SLAM 的情况.神经机器人学是一种神经机器人学.稀疏的分布式表示.

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