OVR builds a tactile sensing layer for contact-critical robot manipulation. We measure contact at the interface for tasks where visual inference becomes unreliable, including occluded grasping, in-hand reorientation, and force-controlled insertion.
The gap
Vision-based manipulation systems infer contact from geometry and deformation cues. As soon as contact is partially hidden, those inferences degrade and execution becomes brittle.
The failure modes are practical and repeated: grasping through clutter, maintaining force closure during in-hand repositioning, and contact-critical insertions where camera visibility is incomplete.
What OVR does
OVR adds a tactile measurement layer to existing manipulation stacks rather than replacing the robot, planner, or model layer.
The stack is built as a hardware-agnostic interface path from sensor array to control loop, designed for systems that already have capable motion control and planning infrastructure.
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Investors
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Engineers / Partners
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Researchers
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Current state
Sensor characterization phase
Core patch materials, electrode approach, and embedded readout constraints are actively being characterized. Current work is focused on building toward benchmark-grade data across occluded grasping, in-hand reorientation, and contact-critical force tasks.