MIKASA-Robo-VLA v1.0.0 benchmark suite launches to evaluate memory bottlenecks in robot VLA policies

@chris_j_paxton i'm getting nerd sniped into aux loss for hidden state

Memory might be the most important outstanding problem for modeling + learning alone; there are other key issues like tactile/multimodal but those require hardware and data collection innovation. We should be able to solve memory *now.*

Cool to see a benchmark targeting it!

@chris_j_paxton Thats awesome. So much goes into robotics

@chris_j_paxton Interesting framing because a lot of robotic failure modes really do look like memory failures rather than perception failures. Long horizon tasks, recovery, and context tracking all seem constrained by it. What kinds of memory architectures look most promising to you right now?

@chris_j_paxton Done 9/30/2019

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