Article

MILD Dataset and AprilVINS: End-Effector Localization for UMI-Style Manipulation Teaching

The authors propose the MILD manipulation-interface localization dataset, comprising 86 real sensor sequences collected with Insta360 X5 and Insight9 (covering 15 repeated tabletop tasks) and the MILD-Sim simulation subset in Isaac Sim, along with a robot end-effector reference trajectory for each execution.

Part of the event: Authors Release MILD Dataset and AprilVINS Localization Method

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