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About this paper
Mai Liu, He Sun, Siru Zhong, Kerun Chen, Hao Yan, Xiaohui Lv, Shuai Tao, Wulong Liu
BetaMem organizes robot memory as time-scoped records linked to source observations, and uses them to guide searches without treating last-seen locations as current facts. Its six layers connect observations, spatial and entity state, episodes, regularities, and procedures; evidence checks constrain writes. On M3-Bench-robot, it reports 48.08% aggregate judged accuracy, versus 39.0% for the strongest listed reference, not a matched-model comparison.
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