OhhO Mind
Give your robot a mind of its own.
OhhO Autonomy lets a robot follow a mission; OhhO Mind lets it decide on one. Mind is the deliberative layer that runs continuously on top of your stack — perceive → reason → verify → act → monitor → reflect → remember — turning a capable robot into an agent you give goals to, not scripts.
- Continuous perceive→reason→act→reflect loop
- Goals in plain language, not scripted commands
- Hardware-safety gate on every action
- Hybrid reasoning: cloud + on-device + NPU
- Memory + learns from its own experience
What you get
Foundation models gave robots brilliant reflexes — a Vision-Language-Action model turns an image and an instruction into an action. But a reflex isn't a mind. A robot still can't choose a goal, remember what it saw, notice that it failed, or get better over time. OhhO Mind is the layer that closes that gap.
Mind runs a continuous decision loop on top of the robot's existing fast control stack. It fuses everything the robot knows into one world-state snapshot, reasons over it to pick the next action, verifies that action against the robot's real hardware limits, executes it through OhhO Autonomy and OhhO Serve, watches the outcome, and reflects on whether the goal was met — then remembers what it learned and does it again. You hand it an objective in plain language; it loops until the job is done, then idles.
Crucially, Mind is built for the real world, not the demo table. Its reasoning runs wherever it can — cloud models when connected, an on-device model and an onboard NPU when not — so the robot keeps thinking with no internet. And because it judges and stores every attempt, that experience feeds OhhO Train to improve the underlying policies. Mind reaches your robots the way software should: as an OhhO Fleet over-the-air update, so a deployed fleet wakes up smarter with no new hardware.
Built to do the hard parts for you
A continuous perceive → reason → verify → act → monitor → reflect → remember cycle. Give it a goal; it runs until done, recovers from failure, and idles when there's nothing to do.
Mind fuses pose, arm state, detected objects, mission status and memory into one snapshot — so it reasons about the world the robot is actually in, not a guessed one.
Every low-level action is checked against the robot's real limits — velocity, joint deltas, reach — before it reaches a motor. Unsafe plans are rejected, not clipped.
Cloud-class reasoning when online, an on-device model and NPU when offline. The robot degrades gracefully instead of going dark when the network does.
Mind remembers objects, places and the outcomes of past attempts, and feeds them into every decision — so the robot builds a model of its own environment.
Each attempt is judged, labelled and stored, then fed to OhhO Train to improve the policies — closing the loop from operation back to capability.
How it works
Send a plain-language objective — 'find the red cup and bring it back' — instead of a step-by-step script.
Mind grounds the goal in the live world state, picks the next action, and passes it through the safety gate.
It runs the action through Autonomy and Serve, watches the result, and re-plans until the goal is met.
Outcomes feed OhhO Train; improved intelligence ships back to the fleet as an OhhO Fleet OTA update.
Specifications
- Loop
- perceive → reason → verify → act → monitor → reflect → remember
- Reasoning
- Cloud LLM + on-device LLM + NPU (hybrid router)
- Safety
- Hardware-limit + reachability gate on every action
- Memory
- Object / place memory + episodic recall
- Learning
- Judged episodes → OhhO Train continual learning
- Delivery
- OhhO Fleet over-the-air update
Which plan do I need for OhhO Mind?
We recommend the Fleet plan. Builder runs the agent loop on a single robot — enough to give one machine goals instead of scripts. Choose Fleet for the full hybrid (offline) reasoning, long-term memory, continual learning and OTA delivery across a fleet; Forge runs the brain entirely on-prem with your own custom skills.
Common questions
Autonomy executes a mission — map, navigate, run a skill. Mind decides the mission: it chooses goals, sequences skills, recovers from failure and learns. Mind sits on top of Autonomy and commands it.
No. Mind prefers cloud-class reasoning when connected, but falls back to an on-device model and an onboard NPU when offline — so the robot keeps operating with no internet.
Every action Mind emits passes a safety gate checked against the robot's real hardware limits before it reaches a motor, and a human can take over or e-stop at any moment.
Mind is delivered as an OhhO Fleet over-the-air update — your deployed robots receive it like an app update, with no new hardware and no teardown.
Works better together
Ready to build with OhhO Mind?
Start free and simulate first — no hardware required. Upgrade when you're ready to deploy.