Ep#91: RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies

Podcast: RoboPapers · Chris Paxton and Michael Cho

Opublikowano: 2026-07-23

Memory is one of the most important problems in robotics. Long horizon memory is key for a variety of robot manipulation problems. However, there exist no good benchmarks for understanding progress in how well generalist robot policies can understand language. Yinpei Dai and Yuejiang Liu made RoboMME as a solution: it’s a large benchmark which shows 16 different robot tasks, like counting objects or mastering timing. They show 14 different memory-augmented generalist policies across these different benchmarks. It’s an incredibly thorough and interesting result, aimed at driving forward this core robotic capability. To learn more, watc...