RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
arXiv:2603.01229v4 Announce Type: replace-cross Abstract: 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. Although several memory-aware policies have been proposed, systematic eva…