AI RESEARCH
RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
arXiv CS.AI
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ArXi:2603.01229v2 Announce Type: replace-cross Robotic manipulation policies have made rapid progress in recent years, yet most existing approaches give limited consideration to memory capabilities. Consequently, they struggle to solve tasks that require reasoning over historical observations and maintaining task-relevant information over time, which are common requirements in real-world manipulation scenarios.