RoboMME benchmarks long-horizon memory across 16 robot tasks
micoolcho · x · 2026-07-23
RoboMME targets long-horizon memory in robotics
Long-horizon memory is described as one of the key unsolved problems in robot manipulation, but there have been few good benchmarks to measure progress.
- RoboMME is introduced as a large benchmark for testing how well generalist robot policies can understand language over time.
- It covers 16 robot tasks, including things like object counting and timing-sensitive manipulation.
- The authors evaluate 14 memory-augmented generalist policies across the benchmark suite.
- The goal is to move the field toward a more rigorous understanding of memory as a core robot capability.
The post also points to Episode 91 of RoboPapers with @micoolcho and @chrisjpaxton for more context.
Related event: RoboMME: A New Benchmark for Evaluating Robot Long-term Memory(4 posts)→
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