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Wake collections

UMI gripper demonstration dataset.

Watch a two-handed tabletop demonstration recorded with a pair of UMI grippers and three cameras, aligned in time.

Two-handed tabletop task

0:30 · 30 fps · 3 streams

Head camera
Left wrist camera
Right wrist camera

Three views of one demonstration.

A head camera sees the work surface, the objects and both grippers. A wrist camera on each gripper sees its fingertips and the object being handled.

ViewResolutionFrame rate
Head camera3840 × 216060 fps
Left and right wrist cameras2704 × 2028100 fps

Recording hardware.

Both hands hold a WAKE UMI Gripper with a wrist camera on its top cover.

ItemDetail
GrippersTwo WAKE UMI Grippers, a left and a right unit
Wrist camerasGoPro HERO12 Black with Max Lens Mod 2.0
Head cameraGoPro on a head strap, Wide lens, no lens mod
Weight in hand850 g and 851 g, with camera, battery and markers fitted
Gripper markersArUco DICT_4X4_50: two 16 mm fingertip markers and four 60 mm cube markers per gripper
Marker IDsLeft gripper 0 to 5, right gripper 6 to 11

Recorded without pauses.

A session opens with sync claps and a stationary hold, then runs continuously between attempts. Mistakes and recoveries stay in the footage, and a retry is a new episode.

Markers give the scene a reference.

Printed markers on the grippers and on boards around the work surface stay in view, so each camera keeps consistent reference points.

Source recordings.

The original camera files for this sample are in a shared folder, one file per camera. Open the sample source.

Questions, answered.

What does the sample show?

A 30-second excerpt of one continuous session. The three camera views are aligned in time and play together; the audio is removed.

Which gripper was used?

A pair of WAKE UMI Grippers, each with a wrist camera. Cameras are not included with the gripper.

Can Wake record UMI demonstrations for my task?

Bring the task, objects and setting. We will work through the capture and annotation requirements with you.

Keep exploring.

What should your robot learn next?

Bring the task, setting and signals you need. We’ll work through the collection and annotation requirements with you.