Firehose

This paper proposes a new method for robots in a swarm to predict the same future state from local observations and limited messages, and shows that it can outperform a simpler approach with less training data. Practitioners might care because it could lead to more efficient and effective collective decision-making in swarms of robots.

This paper introduces TurboVLA, a new vision-language-action model that reduces computation and memory overhead by directly exchanging information between visual observations and language instructions, allowing for faster and more efficient robotic manipulation. Practitioners might care about this approach for building more efficient and effective VLA models.