Technology
Engineering a robot that handles what fixed arms cannot.
Three capability pillars, each one addressing a distinct failure mode of conventional factory automation. Torque-sensing actuation that yields before it damages. Point-cloud perception that works on unsorted bins. Task loading that a floor supervisor controls without writing code.
01 — Motion Control
Compliant joints that feel the push-back
Conventional industrial robots are position-controlled and stiff — they push until something moves or breaks. Atom runs torque-controlled actuation at every joint, reading actual load at 1 kHz and adjusting the compliance envelope in real time.
Grip a fragile PCB substrate from an unsorted bin without crushing it. Carry a 10 kg sub-assembly without dropping it. The control loop handles both — not by switching modes, but by reading the force and responding appropriately.
Deep dive → Motion Control02 — Perception & Sensing
Seeing the bin, not just the object
Factory bins contain overlapping, partially occluded, identically-shaped parts. Atom's sensor array — structured-light depth, RGB camera, and fingertip tactile — builds a persistent 3D scene graph of the entire workspace, not just the target object in isolation.
The fusion pipeline runs on embedded compute at the head unit. Depth-first grasp planning finds a viable contact surface regardless of object identity — tactile feedback in the fingertips confirms contact and catches the edge cases that pre-grasp vision cannot.
Deep dive → Perception03 — Task Adaptation
New task. No reprogramming.
Traditional robot reprogramming requires a systems integrator, a change order, and weeks of downtime. Atom's demonstration-based learning converts a physical task demonstration — performed by the floor supervisor directly — into a motion policy Atom can execute the same shift.
The constraint: demonstrations must be within Atom's physical capability envelope. The scope: every routine assembly step, transfer task, and sort operation that currently requires a standing work order to modify.
Deep dive → Task AdaptationRequest the technical specification pack
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