Industries

Where embodied AI is doing real work.

Different industries, one shared problem: machines that have to reason about a physical world that keeps changing. Here's where CerebrumFlow makes the difference — with the concrete scenarios we see on the ground.

LOGISTICS & WAREHOUSE

Keep the floor moving

Fleets that navigate dynamic environments, re-plan around obstacles, and keep throughput up without a central pause. The floor is never static — pallets appear, people cut across aisles, and a stalled robot upstream changes everyone's best route.

A real scene: an AMR is mid-route when a pallet gets dropped in the corridor. It re-plans around it within two cycles, while a worker cuts across the aisle ahead — the safety filter prunes any path that would crowd them, and the robot takes the gap that opens behind them without slowing the line.
  • Fleet re-planning in layouts that change mid-shift
  • Safe co-navigation with people at walking speed
  • Zone handoffs between AMRs without central stops
  • Continuous operation through dropped loads and drift
FIELD & INSPECTION

Reason outdoors

Robots in unstructured environments — energy, agriculture, construction — where the map is never fixed and conditions change by the hour. Ground that looked flat yesterday is churned, dusty, or flooded today.

A real scene: a quadruped inspects a solar farm the morning after a dust storm. The terrain map is stale, so it builds a fresh one on the fly. On one panel its vision can't get a confident read — instead of reporting a wrong classification, it flags the panel as uncertain and moves on, so the operator knows exactly which reading not to trust.
  • Uncertainty-aware perception in open, shifting terrain
  • Fused odometry that holds up GPS-denied, under dust
  • Inspection that flags uncertainty instead of guessing
  • Adaptive planning when the environment shifts hour to hour
MANUFACTURING

Dexterity without scripting

Mobile manipulation and assembly tasks that can't be pre-programmed for every variation. The part is never exactly where you left it, never at the angle in the CAD file.

A real scene: a mobile manipulator does bin picking with parts in variable orientations. When a part shifts under the gripper, force/torque feedback tells it to comply and re-grasp rather than crush the next part in the bin — no line stoppage, no hand-edited waypoint.
  • Dexterous tasks with variable part pose and orientation
  • Impedance control for insertion and contact work
  • Whole-body arm-plus-base motion for hard-to-reach picks
  • Re-planning for unscripted, mixed-part workflows
MOBILITY

Right the first time, at speed

Perception-to-action reasoning where a late decision isn't an option. At road speed there is no "reconsider" step — the plan has to be right when it leaves the planner.

A real scene: a shuttle merges into moving traffic. The planner keeps a rolling horizon of candidate trajectories and prunes any that violate a collision bound against the vehicle ahead, re-planning at 40 Hz so a closing gap is handled as it forms, not after it's too late.
  • Low-latency perception and planning on embedded compute
  • Safety constraints as hard filters, not soft penalties
  • Continuous re-planning at highway speed
  • Deterministic scheduling so latency is a guarantee
ENERGY & UTILITIES

Inspect what you can't safely reach

Substations, pipelines, and offshore platforms where a human shouldn't go and a sensor can't get close. The robot has to work in GPS-degraded, magnetically noisy, often radio-hostile environments.

A real scene: a crawler inspects a transformer yard. GPS is unreliable between structures and magnetic interference breaks compass heading, so it navigates on fused visual-inertial odometry and relocalizes against a prior map at each junction — flagging a bushing it can't classify confidently instead of logging a guess.
  • Navigation without GPS or a reliable compass
  • Relocalization against a prior map at each junction
  • Inspection reads that carry calibrated confidence
  • Graceful degradation in radio-hostile sites