RMBench
A benchmark for evaluating memory-dependent capabilities in robot manipulation, testing how models utilize historical information.
Timeline (last 90 days)
On the memory-dependent scenario RMBench, UniWALM achieves a 34.5% success rate without any pretrained language or reasoning model, exceeding the 28.5% of Mem-0's keyframe-assisted setting.
CondenseVLA achieves a 21.6% success rate on the memory-dependent RMBench benchmark.
The 21.6% success rate on RMBench indicates that tasks relying on long-term memory or reasoning over multiple observations remain a weak point for CondenseVLA.
All Facts (3)
On the memory-dependent scenario RMBench, UniWALM achieves a 34.5% success rate without any pretrained language or reasoning model, exceeding the 28.5% of Mem-0's keyframe-assisted setting.
50%UnverifiedCondenseVLA achieves a 21.6% success rate on the memory-dependent RMBench benchmark.
50%UnverifiedThe 21.6% success rate on RMBench indicates that tasks relying on long-term memory or reasoning over multiple observations remain a weak point for CondenseVLA.
50%