EmbodiedMemory-Bench (EMem-Bench) Release
Overview
Researchers from Zhejiang University propose EmbodiedMemory-Bench (EMem-Bench), a benchmark to evaluate long-term memory in embodied agents, and introduce a memory system (EMem) and model (EMem-8B) to enhance memory management. The work identifies key challenges in retaining and using memory across dynamic environments and demonstrates performance improvements across multiple models.
From AI Era — Robotics on WeChat
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Evidence dependency changes (2)
- 2026-10-30T22:41:05.877Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T22:40:53.330Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- AI Era — Robotics on WeChatSignalEmbodied Memory Benchmark and System for Long-Term Interaction
Researchers from Zhejiang University propose EmbodiedMemory-Bench (EMem-Bench), a benchmark to evaluate long-term memory in embodied agents, and introduce a memory system (EMem) and model (EMem-8B) to enhance memory management. The work identifies key challenges in retaining and using memory across dynamic environments and demonstrates performance improvements across multiple models.
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