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Sensor Manufacturer Deployment

Overview​

Atlas Runtime Sensor Governance™ helps Sensor Manufacturers transform scattered FAE support experience, field investigation cases, and known environmental disturbances into reusable Sensor Runtime Knowledge.

The focus of deploying Atlas for a Sensor Manufacturer is not to build a new certification system.

The core objective is to build two types of long-term assets:

Sensor Runtime Profile
+
Pre-built Sensor Historical RGA

A Sensor Runtime Profile describes the Runtime Behaviour, Known Sensor REF Pattern, and Investigation Context of a Sensor across different operating environments and known disturbances.

A Sensor Historical RGA preserves completed Sensor Investigations, IR (Investigation Results), LL (Lessons Learned), and reusable investigation paths.

Together, both help Sensor FAEs:

  • Understand OEM field events faster
  • Recall similar historical cases faster
  • Reduce repetitive troubleshooting
  • Improve cross-OEM and cross-scenario reuse capabilities
  • Accumulate FAE experience into organizational assets

Deployment Objective

After deploying Atlas, a Sensor Manufacturer should establish the following capabilities:

Sensor Product
      │
      ├── Runtime Profile
      │
      ├── Known Sensor REF Context
      │
      ├── Historical RGA
      │
      ├── FAE Investigation Workflow
      │
      └── OEM Collaboration

Atlas does not replace a Sensor Manufacturer's existing:

  • Driver Development
  • Firmware Development
  • Reliability Testing
  • RMA Process
  • Customer Support System

Atlas organizes Runtime Investigation Knowledge generated from these activities into recallable, reusable governance assets.

Minimum Deployment Requirements

The minimum deployment requirements for a Sensor Manufacturer to use Atlas include:

Sensor Product Definition
+
Sensor Runtime Surface Access
+
Known Environment Coverage
+
Historical Investigation Cases
+
FAE Investigation Owner
+
RGA Repository

Sensor Manufacturers are not required to build robot-level Fleet Management.

Nor are they required to access an OEM's complete robot system.

Sensor Runtime Scope

A Sensor Manufacturer's governance boundary should be constrained to the Sensor itself and its direct runtime path.

Environment
      │
      ▼
Sensor Hardware
      │
      ▼
Firmware
      │
      ▼
Sensor Interface
      │
      ▼
Driver
      │
      ▼
Sensor Runtime Output

Sensor Investigation can reference system evidence provided by the OEM.

However, Sensor IR and Sensor LL should remain within the Sensor Scope.

Sensor Runtime Surface Requirements

An explicit Runtime Surface Definition should be established for every Sensor onboarded into Atlas.

Sensor Identity Surface​

Recommended inclusions:

  • Sensor Type
  • Product Model
  • Hardware Revision
  • Firmware Version
  • Driver Version
  • SDK Version
  • Interface Type
  • Host Platform
  • Internal Product Identifier

Anonymous Product Identifiers may be used.

Publicly disclosing device Serial Numbers during cross-organizational collaboration is not required.

Sensor Hardware Surface​

Recommended recordings based on product capabilities:

  • Power State
  • Reset State
  • Internal Temperature
  • Internal Health State
  • Self-test Result
  • Boot State
  • Streaming State
  • Internal Error Code
  • Recovery State

Sensor Interface Surface​

Integrate according to Sensor type:

  • Ethernet
  • USB
  • MIPI CSI
  • CAN
  • UART
  • SPI
  • I²C
  • SerDes
  • PPS
  • Trigger
  • Synchronization

Recommended observations:

  • Link State
  • Packet Rate
  • Error Count
  • Reconnect Event
  • Timeout
  • Interface Reset
  • Enumeration State
  • Bandwidth Change

Sensor Driver Surface​

Recommended inclusions:

  • Driver Process State
  • Driver Start / Stop
  • Driver Restart
  • Device Open / Close
  • Timeout
  • Error Code
  • Buffer State
  • Reconnect Attempt
  • Firmware Communication State
  • Driver Version

Sensor Output Surface​

Different Sensors should record Runtime Observations relevant to their output.

LiDAR​

  • Point Cloud Frequency
  • Packet Rate
  • Packet Loss
  • Frame Completeness
  • Timestamp Continuity
  • Return Count
  • Internal Status
  • Link State

Camera​

  • Frame Rate
  • Frame Drop
  • Exposure State
  • Image Timestamp
  • Stream Start / Stop
  • Buffer State
  • USB / MIPI Error
  • Driver State

IMU​

  • Sample Rate
  • Timestamp Continuity
  • Bias Change
  • Saturation
  • Communication Error
  • Reset Event
  • Data Validity State

GNSS​

  • Fix State
  • Satellite Count
  • PPS State
  • Timestamp State
  • Correction Data State
  • Communication State

Radar​

  • Frame Rate
  • Target Count
  • Interface State
  • Timestamp Continuity
  • Driver State
  • Internal Error State

Sensor Timing Surface​

Recommended inclusions:

  • Sensor Timestamp
  • Host Timestamp
  • Frame Sequence
  • Packet Sequence
  • PPS State
  • Trigger State
  • Clock Offset
  • Timestamp Jump
  • Timestamp Drift

The Timing Surface is used to evaluate data continuity and cross-stream relationships.

It is not used for automatic causality inference.

Sensor Runtime Profile

Definition​

A Sensor Runtime Profile is a structured Runtime Behaviour Profile formed by a Sensor under specific product versions, Host conditions, deployment environments, and known disturbances.

It is NOT:

  • A Compliance Approval
  • A Quality Guarantee
  • A Universal Performance Claim

It is Runtime Knowledge observed, recorded, and provided by the Sensor Manufacturer for future Investigation reference.

What a Sensor Runtime Profile Describes

A Sensor Runtime Profile can describe:

Sensor Product
+
Firmware / Driver Version
+
Host and Interface
+
Deployment Environment
+
Known Disturbance
+
Observed Runtime Behaviour
+
Known Sensor REF Context
+
Recovery Behaviour
+
Investigation References

A Profile only describes observation results under covered conditions.

Inferences must not be drawn for uncovered scenarios.

Sensor Profile Dimensions

It is recommended to build Sensor Runtime Profiles along the following dimensions.

Product Dimension​

  • Sensor Model
  • Hardware Revision
  • Firmware Version
  • Driver Version
  • SDK Version
  • Interface Mode

Host Dimension​

  • SBC / Host Platform
  • Linux Version
  • Kernel Version
  • Driver Environment
  • USB Controller
  • Ethernet Controller
  • Compute Load Condition

Robot Integration Dimension​

  • Mounting Position
  • Cable Length
  • Power Architecture
  • Interface Topology
  • Hub / Switch
  • Driver Configuration
  • Output Consumption Method

The Profile does not need to contain proprietary OEM algorithms.

It only records Integration Context that affects Sensor Runtime.

Deployment Environment Dimension​

For example:

  • Restaurant
  • Hotel
  • Hospital
  • Shopping Mall
  • Warehouse
  • Factory
  • Outdoor Delivery
  • Underground Parking
  • Campus
  • Logistics Yard

The same Sensor model can possess multiple Environment Profiles.

Known Disturbance Dimension​

For example:

  • Optical Disturbance
  • Thermal Disturbance
  • Vibration
  • Electrical Disturbance
  • Communication Disturbance
  • Timing Disturbance
  • Host Compute Disturbance

Known Sensor REF Investigation Context

An important component of a Sensor Runtime Profile is the Investigation Context of Known Sensor REFs.

It describes:

Under a known environment or disturbance, what Runtime Pattern did the Sensor previously exhibit, and from which evidence and paths should future investigations begin.

For example:

Deployment Environment
Restaurant

Known Disturbance
Reflective Glass

Observed Runtime Pattern
Intermittent LiDAR return reduction

Relevant Surfaces
LiDAR Output
Internal Status
Ethernet Packet Rate
Temperature

Investigation Context
Compare return count, packet continuity and internal status

Known Recovery Behaviour
Automatic recovery after environment change

Known Sensor REF Context does not mean all future incidents share the same cause.

It merely provides a known investigation reference.

Profile Structure

A standard Sensor Runtime Profile can contain:

Sensor Runtime Profile
│
├── Profile Identifier
├── Sensor Product Definition
├── Firmware / Driver Definition
├── Host and Interface Context
├── Deployment Environment
├── Known Disturbance
├── Runtime Surface Coverage
├── Baseline Runtime Behaviour
├── Known Sensor REF Patterns
├── Investigation Context
├── Recovery Behaviour
├── Historical RGA References
└── Coverage Boundary

Baseline Runtime Behaviour

Profiles can record normal performance under covered conditions.

For example:

  • Expected Frame Rate Range
  • Expected Packet Rate Range
  • Expected Timestamp Continuity
  • Expected Startup Sequence
  • Expected Recovery Sequence
  • Expected Internal State

A Baseline is not a permanently fixed, unified standard.

It must be bound to:

  • Product Version
  • Host Context
  • Environment
  • Test Condition

Known Sensor REF Patterns

Profiles can record known Runtime Patterns.

For example:

  • Frame Interruption
  • Packet Loss
  • Sensor Reconnect
  • Driver Restart
  • Timestamp Jump
  • Output Frequency Reduction
  • Internal Thermal Protection
  • Interface Enumeration Loss
  • Recovery Failure

Each Pattern should be associated with:

  • Relevant Surface
  • Environment
  • Disturbance
  • Observed Sequence
  • Investigation Context
  • Historical RGA Reference

Profile Coverage Boundary

Every Sensor Runtime Profile must define an explicit Coverage Boundary.

For example:

Covered

- LiDAR Model X
- Firmware 2.4
- Ethernet Interface
- Ubuntu 22.04
- Warehouse Environment
- Packet-loss disturbance
Not Covered

- Outdoor rain
- Different firmware
- USB interface
- Alternative driver
- Unobserved host platform

Atlas does not interpret uncovered conditions as normal, anomalous, or verified.

Profile Lifecycle

Sensor Product Definition
          │
          ▼
Runtime Surface Mapping
          │
          ▼
Known Environment Observation
          │
          ▼
Known Sensor REF Context
          │
          ▼
Sensor Runtime Profile
          │
          ▼
Field Investigation Reuse
          │
          ▼
Profile Update

Profiles can continuously evolve along with:

  • Firmware Updates
  • Driver Updates
  • New Host Platforms
  • New Deployment Environments
  • New Historical RGAs
  • New Known Disturbances

Known Environment Coverage

Sensor Manufacturers should choose realistic, high-value scenarios to build Profiles.

Covering all environments from day one is not necessary.

It is recommended to prioritize:

  • Primary customer deployment scenarios
  • High-frequency FAE support scenarios
  • High RMA/return rate scenarios
  • High labor-hour investigation scenarios
  • Safety-related scenarios
  • Target scenarios for new products

Controlled Environment Observation

Sensor Manufacturers can establish Runtime Profiles under known disturbance conditions via Controlled Environments (CE).

The goal of CE is not to certify the Sensor.

Nor is it to simulate a complete robot system.

It is used to observe:

How a Sensor's Runtime Behaviour manifests under known environmental disturbances.

Optical Disturbance​

Applicable to optical Sensors like Cameras and LiDARs.

For example:

  • Strong Sunlight
  • Low Light
  • Glass
  • Mirror
  • Reflective Surface
  • Fog
  • Dust
  • Smoke
  • Water Droplet
  • Rapid Light Transition

Thermal Disturbance​

For example:

  • High Temperature
  • Low Temperature
  • Rapid Temperature Change
  • Thermal Drift
  • Internal Thermal Protection

Vibration and Motion Disturbance​

For example:

  • Mechanical Vibration
  • Shock
  • Robot Acceleration
  • Mount Movement
  • Connector Movement

Electrical Disturbance​

For example:

  • Voltage Drop
  • Power Ripple
  • Power Cycle
  • Ground Noise
  • Shared Load Change
  • EMI
  • ESD Recovery

Communication Disturbance​

For example:

  • Ethernet Packet Loss
  • Link Interruption
  • USB Reconnect
  • USB Bus Congestion
  • CAN Bus Load
  • Bandwidth Saturation
  • Host Restart
  • Driver Restart

Timing Disturbance​

For example:

  • Timestamp Jump
  • Clock Drift
  • PPS Loss
  • Trigger Loss
  • Frame Sequence Gap
  • Host / Sensor Clock Misalignment

Host Runtime Disturbance​

For example:

  • CPU Load
  • Memory Pressure
  • Disk I/O
  • Network Congestion
  • Scheduler Delay
  • Process Restart
  • Driver Restart

These disturbances belong to the Sensor Runtime Environment.

The Profile only records the behavior of the Sensor and its direct boundaries.

Pre-built Sensor Historical RGA

Sensor Manufacturers should not deploy Atlas starting from an empty Historical Repository.

It is recommended to pre-build a batch of Sensor Historical RGAs before officially connecting to OEM collaborations.

Historical RGAs stem from previously completed:

  • FAE Support Cases
  • RMA Investigations
  • Firmware Issues
  • Driver Issues
  • Integration Cases
  • Compatibility Tests
  • Reliability Tests
  • Field Failure Analysis
  • Controlled Environment Observations

Why Pre-build Historical RGA?

Without pre-built RGA:

New Sensor REF
       │
       ▼
FAE Starts From Zero

With pre-built RGA:

New Sensor REF
       │
       ▼
Historical Recall
       │
       ▼
Known Investigation Context
       │
       ▼
Reusable Investigation Path

Pre-built RGA enables FAEs to reuse historical experience from Day One.

Recommended Initial RGA Coverage

It is recommended to select for the first batch:

One Sensor Product
+
Three to Five Common Runtime Patterns
+
Five to Ten Historical Cases
+
Two to Four Key Deployment Environments

For example:

LiDAR Model X

├── Packet Loss
├── Link Interruption
├── Timestamp Discontinuity
├── Thermal Protection
└── Driver Reconnect

Corresponding environments:

Warehouse
Factory
Restaurant
Outdoor Delivery

High-value Historical Cases

Prioritize selecting cases that:

  • Have occurred multiple times
  • Involve multiple OEMs
  • Consume large amounts of FAE labor hours
  • Have been escalated to Firmware or Driver teams
  • Have formed a clear Investigation Path
  • Have explicit IR and LL
  • Can be reused across scenarios
  • Can reduce repetitive answers

High-frequency cases typically yield ROI faster than single, extreme cases.

Sensor Historical RGA Minimum Fields

Each pre-built Sensor Historical RGA is recommended to contain:

Sensor Historical RGA
│
├── RGA Identifier
├── Sensor Product Model
├── Hardware Revision
├── Firmware Version
├── Driver Version
├── Interface Type
├── Host Context
├── Deployment Environment
├── Known Disturbance
├── Sensor Runtime Pattern
├── Runtime Surface References
├── Investigation Path
├── Excluded Path
├── Sensor Investigation Result
├── Sensor Lesson Learned
├── Evidence Reference
└── Authorization Metadata

If historical cases lack complete raw evidence, Non-identifiable or Signature-based RGAs can be established.

At minimum, preserve:

  • Runtime Pattern
  • Investigation Context
  • Investigation Path
  • IR
  • LL

RGA Organization

It is recommended to organize RGAs along the following hierarchy:

Sensor Product
      │
      ├── Hardware Revision
      ├── Firmware Version
      ├── Driver Version
      ├── Interface
      ├── Host Platform
      ├── Deployment Environment
      └── Runtime Pattern

For example:

Camera Model A
│
├── Restaurant
│     ├── Low-light frame drop
│     └── Reflective surface exposure instability
│
├── Warehouse
│     ├── USB reconnect
│     └── Host bandwidth congestion
│
└── Outdoor Delivery
      ├── Thermal protection
      └── Rapid light transition

Relationship Between Profile and Historical RGA

A Sensor Runtime Profile and a Sensor Historical RGA are not the same thing.

A Sensor Runtime Profile describes:

  • Product Runtime Behaviour
  • Environment Context
  • Known Disturbance
  • Known Sensor REF Pattern
  • Coverage Boundary

A Sensor Historical RGA preserves:

  • Completed Investigation
  • Investigation Path
  • Excluded Path
  • Sensor IR
  • Sensor LL
  • Reuse Metadata

The relationship between both:

Sensor Runtime Profile
        │
        ├── References Known Patterns
        │
        └── References Historical RGA

The Profile provides a product and environment view.

The Historical RGA provides knowledge assets from completed investigations.

OEM Collaboration

When an OEM Runtime Investigation involves a Sensor Candidate, the OEM can initiate collaboration with the Sensor FAE through a Sensor Engagement Pack.

OEM REF Ticket
      │
      ▼
Sensor Engagement Pack
      │
      ▼
Sensor REF Ticket
      │
      ▼
Sensor Historical Recall
      │
      ▼
Sensor Investigation
      │
      ▼
Sensor IR and LL
      │
      ▼
Sensor Ticket Closure
      │
      ▼
OEM REF Closure

The Sensor FAE can simultaneously search:

  • Sensor Runtime Profiles
  • Sensor Historical RGAs
  • Known Environment Context
  • Known CE Disturbances

Evidence Modes

Evidence exchange between OEMs and Sensor Manufacturers depends on NDAs and authorization boundaries.

Raw Evidence Mode​

Applicable when an NDA exists between both parties and investigations are conducted for specific Sensor REFs.

Can share:

  • OEM Evidence Pack
  • Raw Runtime Observation
  • Runtime Timeline
  • Sensor-specific Logs
  • Configuration Context

Raw Evidence Mode serves specified investigations only.

It does not automatically enter shared knowledge repositories.

Non-identifiable Mode​

Applicable to:

  • Scenarios without an NDA
  • Cross-OEM experience reuse
  • Assist Vault
  • Signature-based Recall

Can share:

  • Runtime Pattern
  • Surface Signature
  • Investigation Context
  • Investigation Path
  • Lesson Learned

Does NOT share:

  • OEM Identity
  • Customer Identity
  • Robot Serial Number
  • Raw Dataset
  • Proprietary Configuration

Sensor Manufacturer Infrastructure

Sensor Manufacturers can choose deployment methods based on existing conditions.

Existing FAE or Support Platform​

Applicable to environments with existing:

  • CRM
  • Ticketing System
  • FAE Portal
  • RMA System
  • Internal Knowledge Base
  • Lab Server

Atlas can link with existing systems via Reference IDs.

Existing FAE Ticket
        │
        ▼
Atlas Sensor REF
        │
        ▼
Historical Recall
        │
        ▼
Sensor Investigation
        │
        ▼
IR / LL / RGA

Replacing the existing Support Platform is not required.

Internal Server Deployment​

Applicable to Sensor Manufacturers with headquarters or laboratory servers.

FAE / Lab
    │
    ▼
Atlas Investigation Workspace
    │
    ├── Sensor Runtime Profiles
    ├── Sensor Historical RGA
    └── Investigation Records

Minimal Standalone Deployment​

Applicable to small Sensor Manufacturers or pilot teams.

Minimum components include:

  • Investigation Workstation
  • Sensor Runtime Profile Repository
  • Historical RGA Repository
  • Import / Export Tool
  • FAE Owner

Building a complex Cloud beforehand is not required.

Information Required from Sensor Manufacturer

Product Information​

  • Sensor Model
  • Hardware Revision
  • Firmware Version
  • Driver / SDK Version
  • Interface Type
  • Supported Host Environment

Runtime Surface Information​

  • Internal State
  • Output Data
  • Error State
  • Timing Source
  • Interface State
  • Recovery Behaviour
  • Available Diagnostic Interface

Environment Information​

  • Main Deployment Scenarios
  • Known Environmental Risks
  • Existing CE Test Conditions
  • Known Host Conditions
  • Known Integration Constraints

Historical Asset Information​

  • FAE Tickets
  • RMA Cases
  • Driver Cases
  • Firmware Cases
  • Known Runtime Patterns
  • Existing Investigation Steps
  • Existing IR
  • Existing LL

Governance Information​

  • FAE Investigation Owner
  • Driver Team Escalation Owner
  • Firmware Team Escalation Owner
  • Product Owner
  • OEM Collaboration Policy
  • NDA and Data Exchange Policy
  • RGA Authorization Policy

Recommended Deployment Sequence

Phase 1
Sensor Product and Surface Mapping

        ↓

Phase 2
Historical Case Selection

        ↓

Phase 3
Pre-built Sensor Historical RGA

        ↓

Phase 4
Known Environment and CE Coverage

        ↓

Phase 5
Sensor Runtime Profile Creation

        ↓

Phase 6
OEM Collaboration Pilot

        ↓

Phase 7
FAE and ROI Expansion

Phase 1 — Product and Surface Mapping​

Select:

  • One Sensor Product
  • One Firmware / Driver Combination
  • One Primary Interface

Complete Sensor Runtime Surface Mapping.

Phase 2 — Historical Case Selection​

Select:

  • Five to Ten High-value Cases
  • Three to Five Runtime Patterns
  • Two to Four Deployment Environments

Phase 3 — Historical RGA Pre-build​

Standardize historical cases into:

  • Runtime Pattern
  • Investigation Path
  • Excluded Path
  • IR
  • LL

Phase 4 — Known Environment Coverage​

Supplement high-value:

  • Deployment Environments
  • CE Disturbances
  • Host Runtime Conditions
  • Recovery Behaviours

Phase 5 — Sensor Runtime Profile​

Organize product, scenario, disturbance, Pattern, and Historical RGA into a Sensor Runtime Profile.

Phase 6 — OEM Collaboration Pilot​

Select one OEM and one real or Controlled REF to verify:

  • EGP Intake
  • Sensor REF Creation
  • Historical Recall
  • Sensor Investigation
  • Sensor IR / LL
  • Ticket Closure

Phase 7 — FAE and ROI Expansion​

Expand to:

  • Multiple OEMs
  • Multiple Robot Platforms
  • Multiple Deployment Environments
  • Multiple Firmware Versions
  • FAE Response Metrics
  • RGA Reuse Metrics
  • Tier 3 Escalation Metrics
  • Engineering Hours Saved

Maximum-value Deployment

Achieving maximum Atlas value for a Sensor Manufacturer requires simultaneous creation of:

Sensor Runtime Surface Coverage
+
Sensor Runtime Profiles
+
Pre-built Historical RGA
+
Standard FAE Investigation Workflow

Having Profiles without Historical RGA still forces FAEs to redesign investigation paths from scratch.

Having Historical RGA without Profiles leaves historical knowledge lacking product, version, and environmental context.

Combining both allows Sensor Manufacturers to achieve:

  • Faster FAE Investigation
  • Cross-OEM Knowledge Reuse
  • Cross-environment Pattern Recognition
  • Lower Repeated Engineering Effort
  • Better Product Reliability Feedback
  • Continuous Sensor Organization Memory

Summary

The core of Sensor Manufacturer Deployment is not generating Passports, Certificates, or accreditation files.

A complete deployment should establish:

1. Sensor Runtime Surface Coverage

2. Sensor Runtime Profiles

3. Pre-built Sensor Historical RGA

4. Standard FAE Investigation Workflow

A Sensor Runtime Profile describes a Sensor's Runtime Behaviour, Known Sensor REF Pattern, and Investigation Context under different product versions, Host conditions, robot integration methods, deployment scenarios, and known CE disturbances.

A Sensor Historical RGA preserves completed Sensor Investigations, IR, LL, and reusable investigation paths.

When an OEM initiates a Sensor Engagement, FAEs can start investigations directly from Sensor Runtime Profiles and Historical RGAs instead of recollecting background information, re-searching cases, and redesigning troubleshooting steps from scratch.

Atlas is responsible for organizing Sensor Runtime Knowledge, remembering the past, and allowing every FAE investigation to continuously serve future OEMs, robot platforms, and deployment scenarios.

Next Steps

  • Pilot Deployment™
  • Production Deployment™