  An unsolved challenge in cooking automation is designing for shared kitchen
workspaces. In particular, robots struggle with dexterity in the unstructured
and dynamic kitchen environment. We propose that human-machine collaboration
can be achieved without robotic manipulation. We describe a novel system design
using computer vision to inform intelligent cooking interventions. This
human-centered approach does not require actuators and promotes dynamic,
natural collaboration. We show that automation that assists user-led actions
can offer meaningful cooking assistance and can generate the image databases
needed for fully autonomous robotic systems of the future. We provide an open
source implementation of our work and encourage the research community to build
upon it.
