Edge OS Robots Sensors Guardrails

Robo Assistant OS

Orchestrate robots, sensors, and devices with context-aware safety checks, live telemetry, and verification — at the edge.

Virtual demo: no signup • browser-based • demo data. Connected demo requires Robo Connector login + connected Assistant (virtual is OK).
Outcome
Closed-loop execution
Verify tasks, auto-recover on deviation.
Safety
Guardrails by default
Zones, limits, interlocks, human checks.
Fleet
Mixed-vendor devices
Drivers + capability-based assignment.
Overview: discover devices → assign drivers → run playbooks → verify outcomes.

Execution with Guardrails

Robo Assistant converts procedures into motion/control, fuses sensors, and verifies outcomes — with safety rules and interlocks enforced at every step.

  • Capability-based device assignment and coordination
  • Context-aware limits: zones, torque, speed, human-presence
  • Closed-loop verification, safe states, and auto-recovery
Edge Orchestration Loop Edge hub → drivers → routines → telemetry → verification Edge Hub Gateway / VM / mini PC Local policies + buffering Drivers Packages expose capabilities Relocatable & discoverable Routines Playbooks across devices Assignment + coordination Telemetry Live signals + sensor fusion Deviation detection Verification Pass/fail checks + recovery Audit logs & evidence (optional) feed results back to planning / policies

Built for real environments

Start with one cell or one site, then scale to fleets — without losing safety, observability, or control.

Factory Cells

Pick-place, welding, inspection, assembly with verification.

Warehouses & AGVs

Route policies, handoffs, and live fleet health.

Logistics Hubs

Edge buffering + guarded automation at busy sites.

Remote Sites

Works through unreliable networks with local policies.

Factory case: orchestration loop from planning → execution → verification (edge-first).

How it works

A simple loop: discover devices, assign drivers, run playbooks with guardrails, verify outcomes, and audit everything.

1
Discover
Scan network, register devices.
2
Drivers
Install packages, expose capabilities.
3
Playbooks
Run routines across the fleet.
4
Guardrails
Zones, limits, interlocks, human checks.
5
Verify
Telemetry + sensor fusion → pass/fail + recovery.

Micro demo (logs)

A small “what you’ll see” simulation. Replace with real logs later.


                

Deployment

Designed for edge hubs and gateways. Works with local policies and can integrate with higher-level planning systems.

  • Runs on: mini PC / gateway / VM (virtual Assistant supported)
  • Edge-first: local execution and buffering where required
  • Integrates via packages, drivers, and routines

Core pillars

Device Control

Robots, PLCs, AGVs — unified commands, pathing, safety limits.

Sensor Fusion

Vision, IMU, load, proximity — fused for decisions and verification.

Auto-Config

Detect devices, map drivers, apply templates, run tests.

Comms & Edge

Ethernet/Wi-Fi/5G/fieldbus. Edge buffering where required.

Safety & verification

Hard limits, soft zones, interlocks, and human-presence checks are applied automatically. Every action is validated; failures trigger safe states and retries.

Pre-check
Limits & zones
Torque/velocity caps, keep-out regions
During
Live telemetry
Deviation detection, pause/resume
Post
Verification
Vision/force checks, auto-log & audit

Interface preview

Placeholder: Dashboard
Fleet status, map, active goals
Dashboard (seeded): 6–12 devices, 1 alert, 1 running routine.
Placeholder: Devices + Drivers
Scan results + driver packages
Devices: show connected state + installed drivers.
Placeholder: Routines
Scheduled / running / failed + retry
Routines: 3–5 playbooks with statuses + timestamps.

See Robo Assistant in action

Explore the virtual control plane in your browser, or book a walkthrough for your environment.

Virtual demo: no signup • browser-based • demo data. Connected demo: requires Robo Connector + connected Assistant.
Suggested demo flow
  1. Open Dashboard → see fleet status
  2. Devices → scan + drivers
  3. Routines → run a playbook
  4. Logs → verify outcomes