Tennessee roots · A new chapter

Robotics.
With a human
purpose.

Exploring autonomous mobility and humanoid robotics for the people and businesses of Tennessee — starting with real trips, real tasks and real evidence.

Watch the field notes Run the Knoxville scenario

Research and partner discovery. Not a service launch.

SCHEMATIC Research geography, not a service area. Markers at true coordinates; roads simplified.

Our mission

Put robotics to useful work.

Three words carry the whole idea. Scroll to see what each one asks of us.

01 / Robotics

Capable technology.

Autonomous vehicles and humanoid robots are arriving. We study what it takes around them — charging, cleaning, staging and support — so the technology can do dependable work.

02 / Relationships

Earned trust.

A driverless ride still needs a person who answers. Riders, workers and neighbors decide whether robotics belongs here; we start by listening to them.

03 / Results

Useful outcomes.

We measure before we scale. Observed data stays separate from assumptions, and growth waits until evidence supports it.

Building in public

Field notes.

Short films on the questions behind R³: why we started, what riders need, and whether local demand could support a fleet.

Episode 03 · Local demand · 8:18

Could Knoxville Support a Cybercab Fleet?

Building on Ledge's model with a local demand test. Counting journeys once, translating airport activity into potential rides, and testing fleet size against fixed demand.

Illustrative scenarios, not a forecast. Only the airport passenger total is observed; all other inputs are assumptions. Michael Dutton is a Tesla owner and shareholder. R³ Revenue is independent of Tesla, not affiliated with or endorsed by Tesla. No operating fleet, airport authorization, approved service or investment returns are claimed. Map is schematic; vehicle and route graphics are concept illustrations.

With credit to Ledge Andary's thoughtful financial model: original video · workbook access page.

Sources and scenario calculation

3,630,410 ÷ 365 ÷ 1.5 × 0.60 × 0.15 × 0.50 × allocation share. At 5%, 10% and 20% allocation: about 14.9, 29.8 and 59.7 one-way airport rides per average day, across both directions. Alternative scenarios, not a growth timeline, fleet-size recommendation or promise of commercial access. Try the inputs yourself ↓

  1. EP 03 · 8:18Could Knoxville support a Cybercab fleet?
  2. EP 02 · 3:19A driverless ride still needs customer service
  3. EP 01 · 3:30Why I'm building R³

Scenario lab

Run the Knoxville airport example.

Start from the one observed number, then change the assumptions. Watch how quickly a large passenger count becomes a small daily workload.

Observed · TYS 2025
3,630,410

passenger movements, arrivals + departures. Not unique travelers, and never doubled.

Assumption
Assumption
Assumption
Assumption
Illustrative scenario · not a forecast

    Bars are alternative allocation scenarios, not a growth timeline or fleet sizes. Thirty trips spread across a day and thirty trips clustered around flight arrivals need very different capacity; that hourly pattern is not yet measured.

    Research tracks

    Two technologies. One test.

    Does it make a real task easier, safer or more dependable — and can we support it well?

    AI concept of two Cybercab-style two-seat robotaxis plugged into chargers under a lit canopy at dusk
    AI concept inspired by Tesla Cybercab. Not a Tesla photograph or an existing R³ facility.

    01 / Autonomous mobility

    More than the ride.

    Tesla Cybercab is a primary technology of interest. We're researching the service around it.

    • Charging & cleaning
    • Passenger support
    • Fleet economics
    Tesla's Robotaxi information ↗

    No fleet launch date or active service area announced.

    AI concept of a humanoid robot beside a workshop bench
    AI concept. Not an Optimus product photograph or actual R³ operations.

    02 / Humanoid robotics

    Start with the task.

    Could future humanoids make repeatable work easier? We're evaluating possibilities, including Tesla Optimus, with people and safety first.

    • Task suitability
    • Worker involvement
    • Safe completion
    Tesla's Optimus information ↗

    Commercial access and capabilities require verification.

    Results need evidence

    Learn first. Scale with proof.

    1. 01Listen

      Understand the problem.

    2. 02Prepare

      Plan safety, permissions and support.

    3. 03Test

      Measure reliability and experience.

    4. 04Improve

      Expand only when evidence supports it.

    Open questions

    Help us replace guesses with evidence.

    These are the inputs that matter most and that we don't have yet. If you hold the data, run the research or know who does, we'd like to talk.

    Needed

    Airport ground transport

    Aggregated pickups and drop-offs by mode and hour at McGhee Tyson.

    Replaces: hired-ride share, hourly pattern

    I can help with this →
    Needed

    Local trip patterns

    Origin–destination data across Knoxville, Alcoa and Maryville, by time of day and day type.

    Replaces: geography + vehicle fit

    I can help with this →
    Needed

    Price and wait research

    Would riders choose a robotaxi at a specific fare and quoted wait? Local survey or pilot data.

    Replaces: robotaxi choice

    I can help with this →
    Needed

    Operator access

    What allocation could an independent fleet actually receive, and on what terms?

    Replaces: R³ allocation share

    I can help with this →
    Smoky Mountains-inspired landscape with a winding road at sunrise

    Home is our starting point

    Tennessee roots.
    A wider horizon.

    Listening across the East Tennessee corridor.

    • Maryville / Alcoa
    • TYS
    • Knoxville
    • Sevierville
    • Pigeon Forge
    • Gatlinburg

    Research locations, not a service footprint. Landscape is AI-generated, not a documented location.

    Portrait of Michael Dutton in a navy blazer

    The people behind the questions

    Meet Michael Dutton.

    Customer Experience Director. Rideshare experience. Maryville roots. Michael brings a service-first perspective to building R³.

    Technology earns trust through clear expectations and accountable service.
    Hear the story ▶@R3Revenue on X ↗Facebook ↗

    Let's start with your problem

    What should robotics
    help you do?

    Tell us what happens today and what a better result would look like.

    consulting@r3revenue.com Follow on X

    Research conversations · No equipment reservations or deployment bookings