Capability · Autonomy
An autonomous cobot or autonomous truck is only as safe as its model of the world. Ipnops Industry pairs an agent runtime with the observation, intelligence, and simulation layers so every dispatch decision is grounded, simulated, and logged. Operators set the policy envelope; the agent acts inside it.
01
The agent calls a small, typed set of tools: forecast(target, horizon), simulate(scenario, interventions), dispatch(asset, setpoint), search(corpus, query), inspect(asset, modality), and policy(action) for guard-rail evaluation. Every call is zod-validated. Tools are minted per tenant and per site; the agent cannot call beyond its issued surface.
02
Condition-based work-order generation triggered by vibration RMS / kurtosis thresholds, acoustic-emission anomalies, thermal signatures, or model-projected RUL crossings. Work orders are auto-populated with the symptom history and a recommended fix. Documented programs reclaim 30-60% of unplanned-downtime minutes by acting on triggers before failure.
03
Task assignment under ISO 10218 / ISO/TS 15066 envelopes with speed-and-separation monitoring backed by OpenPose / HRNet pose estimation. The agent uses OpenVLA or a fine-tuned Octo policy to translate natural-language task descriptions into manipulator trajectories. Safety stops are hardware-level; the agent's authority is over what the cobot does, not whether it can stop.
04
Dynamic routing for the 33,000+ AGV / 29,500+ AMR class of fleets deployed globally as of 2024 — projected to double through 2026. The agent balances throughput against safety (no AMR-cobot collision risk), battery state-of-charge, and dock availability. Documented warehouse deployments report 30%+ productivity gains in 54% of operators post-AMR.
05
Cat MineStar Command for hauling has been in commercial deployment for over a decade and is targeting 2,000+ autonomous trucks by 2030. Komatsu Frontrunner and Sandvik AutoMine cover similar ground. Ipnops Industry orchestrates the OEM autonomy layer — fleet dispatch, shift handoff, preventive-service scheduling, geofence management — and integrates with the customer's mining-execution and mine-planning systems.
06
RL controllers (SAC / PPO / Control-Informed RL) tighten the variance band on continuous-process loops — refinery catalytic reforming, blending, fermentation, paper machine wet-end. The agent retains hard set-point overrides; controller authority is bounded by the safety envelope established at commissioning, with an operator-side trip threshold that drops back to PID instantly.
07
Process Analytical Technology + AI-driven control loops let the agent maintain the 'golden batch' conditions in pharma, food, and biotech — with every parameter excursion logged for the batch record. The platform's autonomy is bounded by the change-control regime; modifications to recipe parameters require sign-off.
08
Every agent decision is logged with the full input window, the tool calls made, the model that produced each call, the simulation run that validated it, and the policy that approved it. Replay viewer for operators; structured event log with cryptographic chaining for auditors. Designed for IEC 62443, NIS2, GMP, and OEM customer audit regimes.
Models in play
Gemini 3.1 Flash Lite
agent runtime
Tool-calling accuracy + latency suited to the dispatch loop.
OpenVLA / Octo
robotic dispatch
VLA policies translate task language to manipulator trajectories.
ProcessSim ensemble
simulation guard
The agent cannot dispatch an action that has not simulated cleanly first.
Policy DSL
guard rails
Customer-defined envelope: comfort, safety, dispatch hours, override triggers.
Related capabilities