Precise force data, from arm to fingertip.

Wrist force and torque, fingertip touch, on one timeline.

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Real footage, teleoperated. Plug inserted, lamp on.

Wrist force

1.20N

Six-axis force and torqueVisualized

Axes

Fx
+0.0
Fy
+0.0
Fz
+0.0
Tx
+0.00
Ty
+0.00
Tz
+0.00

Most of what robots still can't do is contact.

Pushing, fastening, pressing into place. That work runs on force and touch, not on sight.

We record the force skilled workers actually feel, from the arm to the fingertip, and teach it to robots.

Real footage of a robot hand about to insert a plug into a power strip.
What a camera records.
What the arm felt at the same moment.

Position goes to the robot. Force comes back to the hand.

  1. 01The operator's hand moves. The robot follows.
  2. 02The robot's fingertip meets the plug. Force appears.
  3. 03That force returns to the glove. The hand feels resistance.
  4. 04Both directions are recorded on one timeline.
Operator
Robot, teleoperated

Push it in.

Drag the plug into the socket. It gets heavier as it goes in.

Stage
Approach
Wrist force
0.0 N
Depth
0 mm
Visualized

Capture it, shape it, teach it.

01
Acquire

Dream Catcher

An arm that teaches by feel, a glove that records touch, a studio for capture and review, and Lucid for bilateral control.

Live demo available

Explore Dream Catcher
An operator's hand in a master glove, next to the robot arm.
02
Dataset

Dream Set

Nine layers per episode, from task video to wrist torque, recorded on one clock.

Available

Explore Dream Set
Recording a plug insertion task.
03
Model

Morpheus

A contact intelligence foundation model, built on open backbones with a layer that understands force.

Coming soon

Force in, action out.

Before we talk haptics, we start with contact data.

83%

Success when the policy learned force and torque. Video alone reached 22%.

ManipForce, 2025. Six tasks, averaged, rounded.

+23.2pp

Gain from adding force-aware fusion to π0, from 37.3% to 60.5%.

ForceVLA, 2025. π0 baseline, five tasks.

1.09s

To mate a moving HDMI socket. A person takes 1.04 s.

SHIELD, RSS 2021. Dedicated force and vision system.

One insertion. Nine layers of data.

Real footage of the moment of insertion.
Task view
Wrist view
Joint and hand pose
Force and torque
Fingertip touch
Operator command
Force and stiffness
Gaze
Task stage
Time
0.0 s1.02.03.0 s

Kinesthetic layers. Shapes are illustrative.

Every task has its own force signature.

Driving a screw

Sustained torque

Angle grinding

Vibration load

Plug insertion

Insertion peak

Pouring

Shifting mass

Precision finishing

Fine pressure

Electronics, automotive, shipbuilding, heavy industry.

Send us a contact task.

We will answer with a demonstration.

Help teach robots the sense of touch.

See openings