'''Universal Manipulation Interface''' is a data collection and policy learning framework that allows direct skill transfer from in-the-wild human demonstrations to deployable robot policies.
{{infobox
| name = UMI
| full_name = Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
| arxiv_link = https://arxiv.org/abs/2402.10329
| project_page = https://umi-gripper.github.io/
| twitter_link = https://twitter.com/chichengcc/status/1758539728444629158
| date = February 2024
| authors = Cheng Chi, Zhenjia xu, Chuer Pan, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Russ Tedrake, Shuran Song
}}