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Updated: Jan 17, 2026

An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice
Published on: March 3, 2023
An open invisible space enabled by reconfigurable metasurfaces and self-play reinforcement learning
1Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Engineering Medicine, Beihang University, Beijing, 100191, China.
None:
An open, dynamic, and electromagnetically invisible space has been constructed using reconfigurable metasurfaces and self-play reinforcement learning. A model named MetaSeeker is proposed to optimize the cloaking performance of randomly distributed metasurfaces. The hidden objects can move freely within the constructed invisible space, with environmental similarity of 99.5%. This advancement provides an innovative solution for cloaking technologies in complex environments. An open invisible space enabled by reconfigurable metasurfaces and self-play reinforcement learning.
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