Firehose

This paper evaluates the ability of general-purpose models to understand and act on spatial intelligence through visual demonstrations, active perception, and metric control. Practitioners might care about this research because it can help develop models that can effectively navigate and interact with their environment.

This paper develops a framework for robots to learn from context without relying on pre-programmed demonstrations, allowing them to adapt to new environments. Practitioners might care because this technology could enable robots to perform tasks more efficiently and effectively in real-world situations.