Machine autonomy lab with drones, mobile robots, robotic arms, sensor benches, and optical research equipment

MOT / Motor project / physical AI

MOT

Measurement-grade physical AI infrastructure for machines that touch the world: drones, robots, motors, safety cases, field trials, and verified engineering collaboration.

Open challenges Join the network llms.txt

Origin signal Kyoto quantum optics -> machine autonomy

Body Drones, robots, motors, sensors, field rigs

Proof layer TempleMirror ID + test receipts + safety cases

Ticker MOT Mode static-first research node First rooms scientist / grad / lab / field / investor observer AI role propose, audit, summarize, never command hardware alone

Thesis

PHY finds hard ideas. MOT gives them a body.

Quantum optics, laser cooling, and Bose-Einstein condensation belong in the deep research frontier. MOT is the complementary physical layer: a place where autonomous systems are measured against field constraints, machine safety, real motors, bad weather, battery limits, human supervision, and proof that a result can leave the lab.

Kyoto physics origin note

Transfer the discipline, not unsupported claims.

MOT borrows the habits of quantum optics: calibration discipline, uncertainty budgets, noise control, falsifiable protocols, reproducible apparatus, and conservative public claims. It does not claim quantum advantage, Bose-Einstein hardware, Kyoto University endorsement, or any lab affiliation unless explicitly verified.

Origin note

Operating stack

A lab-to-field loop for machine autonomy.

Every public MOT work item should end with a proof packet that people and AI agents can inspect.

01 Problem brief

Define the physical task, environment, risk, measurable target, and minimum viable test rig.

02 Protocol room

Researchers, engineers, operators, and AI agents draft test protocols and falsification cases.

03 Bench proof

Simulation, hardware-in-loop, calibration, motor logs, sensor logs, and safety review.

04 Field receipt

TempleMirror-verified participants attach video, telemetry, measurements, and audit notes.

05 Transfer path

University labs, corporate R&D, startup teams, and operators decide what gets funded next.

Challenge exchange

Start with bottlenecks that need machines, not slides.

Open Drone / inspection

Urban wind recovery for small drones

Build a repeatable gust benchmark for navigation near buildings, bridges, and rooftop equipment.

Metric: Recover within 1.8 s without entering the exclusion zone
Needs: CFD, flight logs, controller tuning, safety cage, insurer-readable case

Design Robot / manipulation

Cluttered tool handoff under human supervision

Make robot arms useful around real benches without pretending the world is clean.

Metric: 20 safe handoffs, zero contact outside approved zones
Needs: Vision, tactile stop, operator UI, failure taxonomy

Scout Energy / motors

Battery truth for field robots

Turn endurance claims into public, comparable telemetry under payload, terrain, and temperature.

Metric: Energy per useful task, not idle runtime
Needs: Motor logs, battery health, route profiles, public schema

Open Safety / audit

Autonomy kill-chain receipt

Create a machine-readable safety receipt for who can authorize, stop, and review physical action.

Metric: Every field run has a signed stop/review path
Needs: TempleMirror ID, device logs, operator roles, incident template

Builder packet

Challenge work orders now include hardware envelope, required sensors, test environment, protocol, telemetry schema, thresholds, and submission checklist.

Open work orders

Field receipt kit

The first trust object is a machine receipt, not a token.

A MOT result should be reviewable by humans, labs, insurers, and AI agents without guessing what happened.

Machine Model, controller, firmware, payload, battery state

Environment Wind, temperature, terrain, exclusion zone, test stage

Evidence Telemetry hash, video hash, calibration references, failure notes

Authority Operator, observer, safety reviewer, stop owner, incident owner

Drone gust receipt example Field receipt kit Safety proof template

Verified network

A serious room for global builders.

MOT can start public and static, then graduate to verified collaboration as the contributor graph gets real.

Scientist

Research bottleneck owner

Defines the unresolved phenomenon, model limit, measurement method, and falsification threshold.

Graduate builder

Protocol and rig maker

Turns abstract research into reproducible notebooks, benches, fixtures, and field-friendly logs.

Corporate R&D

Use-case sponsor

Brings industrial constraints, procurement reality, safety review, and pilot deployment pressure.

University lab

Credibility anchor

Contributes methods, peer review, equipment access, and student talent without losing research credit.

AI agent

Protocol assistant

Normalizes logs, drafts test plans, checks contradictions, and prepares public proof packets.

Investor observer

Patient capital only

Funds useful test capacity after technical gates pass. No hype room, no forced token narrative.

TempleMirror layer

Identity, not noise.

MOT can use TempleMirror ID as the human and agent accountability layer: who proposed the protocol, who ran the machine, who reviewed the evidence, and which claims are still unverified.

{
  "mot_receipt": "mot-2026-field-0001",
  "test": "urban-wind-recovery",
  "recovery_time_p95_seconds": 1.62,
  "telemetry_hash": "sha256:sample-placeholder",
  "video_hash": "sha256:sample-placeholder",
  "stop_authority": "human_operator_required",
  "ai_role": "summary_only_no_command"
}

Collaboration intake

Public enough to build trust. Private enough for real labs.

Data boundary

Public challenge brief

Problem, non-confidential constraints, target metric, review contact, and allowed-public evidence.

Private appendix

NDA path for sensitive apparatus, corporate constraints, unpublished methods, and embargoed results.

No-upload zone

Credentials, private keys, student personal data, customer data, export-controlled files, and safety-critical secrets.

Ticker status

MOT is not launched as a token.

MOT is a project ticker first. There is no contract, no chain, no sale, no airdrop, no exchange or listing claim, and no return expectation. Any future implementation must pass legal, governance, safety, and incident-response review after the contribution ledger is real.

Symbol MOT

Launch mode Not launched

Guardrail No investment promise

Token metadata draft

Persona council

First feedback run was folded into this page.

Read feedback log

Quantum optics professor

Make the research frontier visible, but do not confuse MOT with static physics theory.

Robotics grad student

Give me benchmarks, public logs, and failure cases I can reproduce during a semester.

Corporate R&D lab

We need safety cases, procurement realism, and a path from demo to pilot.

AI agent reviewer

Publish structured packets so agents can summarize, compare, and flag contradictions.