FOLLOW / 00
Pre-seed · 2026 Engineering portfolio ↗
Concept image of the follow-me rover carrying shopping bags outside a store

A personal follow-me rover

You walk.
It follows.
Your hands are free.

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01 / The problem

Shopping ends when your hands are full.

You stop buying. You make two trips to the car. You skip the mall because hauling bags hurts.

For older adults, people with back pain, or parents with children, carrying is not an inconvenience. It is the limit.

“The cart stays in the store.
The bags come with you.”

02 / The insight

People think this is a
self-driving problem.
It isn’t.

YOU

are the navigation.

A follower needs no maps, route planning, per-store setup, or building integration. You walk; it stays with you. That reframing removes the deployment problem that kills indoor robotics.

Exploded product concept showing bag rack, camera, controller, motors, and battery

03 / The product

A rack that
stays with you.

  • 01No store app or integration
  • 02Works across shops and to the car
  • 03Stops when identity is uncertain
  • 04Designed around commodity hardware

04 / Working demo

Not a render.
An early rig,
already moving.

Filmed live in a yard: the rover follows me with no scripted path. Vision runs on a laptop over Wi-Fi, and the rover stops its motors if commands stop for 0.25 s. Straight-line following holds up; sharp side cuts can still lose me.

Also working, in simulation so far: re-identification and obstacle avoidance. Not built yet: the load-bearing bag rack and onboard compute.

Yard test · 00:22Following me live, no scripted path
Simulation · 00:30A look-alike takes the tracker ID. The swap is caught.

05 / What exists today

Early, working,
and honest.

This is a prototype, not a product.

  1. Drives4-motor mecanum base
  2. SeesSub-second live camera stream
  3. RespondsKeyboard or game controller teleop
  4. Fails safeMotors stop if commands stop for 0.25 s
  5. FollowsLocks onto one person and follows at about 2.6 m
  6. Re-identifiesCatches tracker ID swaps and finds the right person again (in simulation)
  7. AvoidsUltrasonic and camera obstacle avoidance (in simulation)
Current four-wheel rover prototype with exposed electronics

06 / What is actually hard

The product is trust.

The failure mode that matters is not “it got lost.” It is “it followed a stranger.”

In a crowded aisle, it must stay locked through occlusion—and refuse to move when it is not sure.

Stop on uncertainty

07 / Why this is not a smart cart

Smart carts

Belong to
the store.

  • Chain-specific checkout
  • Stays inside one location
  • Capex and rollout per store
This rover

Belongs to
the person.

  • Moves between shops
  • Continues to the parking lot
  • Ready to use anywhere you shop

Different buyer. Different product. A much lower barrier to the first customer.

08 / Business model

Rent first.
Learn fast.

01

Rent

Hourly or daily at malls, events, and destination retail.

Entry wedge
02

Own

For people who haul regularly—or cannot haul at all.

Consumer scale
03

Build on it

Sell the follow-me base as a platform for developers. The brain is already open source as followme-bot.

Platform upside

Rental keeps the price barrier near zero and puts units in front of real users quickly.

09 / Expansion

One capability.
Many loads.

01Older adults

Independent shopping

02Hospitals

Supplies down corridors

03Technicians

Tools across factory floors

04Travel + events

Airports and markets

This category should look like the mobility scooter, not the warehouse robot: affordable enough to own, trusted enough to walk behind you.

10 / Roadmap

From target lock
to trusted companion.

Three engineering gates to a real-world pilot.

DONE

Prove the loop

  • Teleop + target lock
  • 4-motor base
  • Bench and hallway testing
NOW

Follow a person

  • Person-following on the rover
  • Identity re-acquisition (working in simulation)
  • Load-bearing rack
  • Onboard compute
NEXT

Earn trust

  • Obstacle safety (working in simulation)
  • Stop on uncertainty (working in simulation)
  • Pilot rentals in real aisles

11 / Why me

I build through
the messy middle.

I built Handme, a mobile manipulator whose base, arm, and hand had to work together in real time. Every delay and calibration error exposed what the plan missed.

That was version one of this journey. I am a robotics AI engineer with six years across perception, sensor fusion, SLAM, and embedded systems—and a room full of electronics that rarely behave the first time.

View engineering portfolio ↗

12 / The ask

Help me move it
from the hallway
to the aisle.

Raising a first check to build the load-bearing chassis, move vision onboard, make person-following reliable, and put prototypes in front of real shoppers.