FoundryNet / OEMs / Geek+ (Geekplus)

AUTONOMOUS MOBILE ROBOT · CANONICAL DATA MODEL

Geek+ (Geekplus) canonical data model: connect your Geek+ (Geekplus) equipment to any AI agent

2,461 confirmed mappings·12 protocols·91% field coverage

Forge turns raw Geek+ (Geekplus) tags into one clean, governed schema your AI agent already understands. One MCP call, no per-AMR integration project.

Try it free: 3 machines, no credit card → See it work →

Paste your Geek+ (Geekplus) data and see it normalized in 30 seconds. No POC required.

Read-only. Forge reads your Geek+ (Geekplus) data through standard industrial protocols. Read-only. Your equipment is never at risk.

The problem

Why Geek+ (Geekplus) data is hard to integrate

Fleet state (battery, pose, velocity, e-stop) is published over ROS 2 topics or a proprietary REST fleet API, and no two vendors agree on the topic names.

Typical Geek+ (Geekplus) equipment communicates over HTTP / REST, MQTT Sparkplug B. Each firmware revision, model line and integrator names the same physical quantity differently, so every AI or analytics project pays the integration tax again, the tax that cancels 40% of industrial AI deployments before they ship.

The solution

One universal schema for every Geek+ (Geekplus) AMR

Forge resolves Geek+ (Geekplus) telemetry into Forge's canonical field set, the same 1,027-field canonical schema (366 resolvable from vendor tags today), used across all 47 vendor packs. Point Forge at the AMR, pass oem: "geekplus", and spindle speed is spindle_speed_rpm whether it came from a Geek+ (Geekplus) controller or anything else on the floor.

HTTP / RESTMQTT Sparkplug B

91%Field coverage

10Canonical autonomous mobile robot fields

3,444Corpus mappings

Field coverage

What Forge resolves for Geek+ (Geekplus)

Confirmed canonical fields your agent gets from Geek+ (Geekplus) AMRs, drawn from Forge's 3,444-mapping corpus:

amr.battery.chargeamr.battery.voltageamr.battery.chargingamr.position.xamr.position.yamr.position.thetaamr.velocity.linearamr.velocity.angularamr.operating_modeamr.safety.estop

Sample normalization

Raw tag in		Canonical field out	Meaning
battery_pct: 76	→	amr.battery.charge: 76	battery %
pose_x: 5.2	→	amr.position.x: 5.2	pose X
lin_vel: 0.9	→	amr.velocity.linear: 0.9	linear velocity
mode: "MOVING"	→	amr.operating_mode: "MOVING"	operating mode

30-second deployment

Add Geek+ (Geekplus) to your agent with one call

No SDK, no per-tag mapping, no historian project. Connect the MCP server and normalize live Geek+ (Geekplus) data:

claude mcp add --transport http forge https://mcp.foundrynet.io/mcp --header 'Authorization: Bearer YOUR_API_KEY'

# normalize raw Geek+ (Geekplus) telemetry into the universal schema

curl -s https://forge.foundrynet.io/v1/normalize \

-H 'Content-Type: application/json' \

-d '{"data": {"battery_pct": 76, "pose_x": 5.2, "lin_vel": 0.9}, "oem": "geekplus"}'

{"amr.battery.charge": 76, "amr.position.x": 5.2, "amr.velocity.linear": 0.9, "coverage": "100%", "confidence": 0.97}

Unknown tags never get force-mapped. Fields below the confidence floor abstain rather than guess, so your agent never acts on a bad reading.

Start free: Forge API, 3 machines → See the full demo →

Where Geek+ (Geekplus) fits

Protocols
HTTP / REST MQTT Sparkplug B

Vertical
autonomous mobile robot

Other autonomous mobile robot vendors
MiR (Mobile Industrial Robots) OTTO Motors 6 River Systems AGILOX Fetch Robotics Locus Robotics

Same protocols, other industries
Caterpillar Cummins Haas Universal Robots

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