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OOMWOO Contributions — RFC board

Each folder here is a Request for Contribution (RFC) — a self-contained module (software, firmware, hardware, or procurement) you can pick up and build. Submit your work under contributions/<rfc>/<your-github-username>/. New here? Read CONTRIBUTING, and see the RFC lifecycle for how RFCs progress and retire.

Status legendActive: exploratoryready to start work / design-firstin progress. Retired (closed to new contributions, but kept in place for provenance): completed · superseded · descoped · merged.

This board is canonical for every RFC's status and progress. An RFC's own README describes its scope and how to get started; where its > Status — line disagrees with the row below, the row below wins. Update this board when you land work.

Progress is a rough, self-reported percentage of the RFC's scope — a sense of "how much is left", not a promise: >=75% nearly there · 25-74% under way · <25% barely started / open.

RFC What it is Progress Status
clean-and-map First clean: coverage + SLAM + exploration 15% coverage meter + regression harness + drive-to-goal cleaning; coverage-while-mapping not started
nav-localize Localization & navigation on a known map 75% AMCL to slam_toolbox (~3x accuracy), custom lost-detection + Cartographer-style global relocalizer (96/96 in sim), stress-tested; needs real-robot validation
floor-care Wall/edge following, surfaces, mop lift 45% LiDAR contour follower v1 follows walls and concave/convex boundaries (line-fit surface estimate replaced nearest-beam: 0.5 deg vs +-20 deg bearing error); bump-out wall clean; side ToF sensors, mop + FlexiArm modules modelled; loop-closure and bumper handoff still open
cleaning-jobs Cleaning modes, zones, job orchestration 0% ready to start work
recovery-safety Recovery behaviors & safety 10% lost-detect to relocalize recovery + one escape reflex; recovery ladder, e-stop, reporting open
dock-cycle Undock, dock, recharge & station services 30% dock mechanical design started; two docks modelled in sim (basic charging pad + auto-empty/mop-wash), manual undocking demoed; teardown, schematic, sensors + fans sourced; docking behaviours not started
obstacle-avoidance Near-field camera + ToF avoidance 20% front ToF + stereo modelled in sim, transient-obstacle detection demoed, scan rays marked static/dynamic for downstream ML
control-app Control app & UX 0% ready to start work (design track)
live-robot-bringup Live robot bring-up & validation 10% Proscenic M6 Pro to ROS2 tutorials; 3irobotix Delta-2C Pro LiDAR driver implemented and validated
health-monitor Stack health monitor & software watchdog 0% design-first: contracts drafted, ready to start
compute-benchmark Compute benchmark & memory reduction 70% tentatively fits 2 GB Pi CM4/CM5; an old smartphone is now a supported compute option (no Pi needed); repeatable Pi benchmark CLI + guide
mcu-io-firmware MCU I/O board firmware (STM32G473) 5% host-tested framing/safety prototypes + simulated CPU/MCU loop; real STM32 HAL, motor and safety bring-up open
io-board-interface I/O board software interface 30% SPEC.md (GPIO/pinout contract) drafted; ROS2 bridge mapping + validation open
urdf-gazebo-sim oomwoo URDF + Gazebo simulation 90% sim model essentially complete: full sensor suite, living-room + kitchen worlds, docks, GPU rendering
mac-dev-env macOS (Apple Silicon) dev environment (pixi) 40% initial working pixi recipe (experimental)
io-pcb I/O + motor-driver PCB (KiCad) 55% smartphone-as-compute option designed; schematic ~50% hand-checked (first review round); carpet sensor driver; drive wheels brought up on the bench; front + side sensor boards, watchdog + motor shutoff, charging dock; not validated, do not fabricate
dust-bin Dust bin (mechanical module) 5% base port added to the chassis CAD; bin design still ahead
vacuum-fan Blower fan assembly (mechanical module) 50% suction fan digitized to STEP, fans sourced and ordered, main fan brought up on the bench
part-specs Procure part specs & datasheets 85% drive-wheel and 4 suction-fan pinouts, voltages and no-load/stall currents confirmed by measurement; cliff/bumper/wheel pinouts reverse-engineered; dock fans, PSU, dock sensors, micro-switches, mop disk, VL6180 sourced
source-3d-models Source 3D models (STEP) for BOM parts 85% parts scanning mostly complete: battery, brushes, wheels, mop/FlexiArm, fan, carpet sensor, camera, switches
stair-climbing Multi-floor: stair climbing (drive-in exoskeleton) 0% exploratory, for later
esp32-p4 ESP32-P4 experimental compute + safety track 0% exploratory, for later

Two builds. OOMWOO comes in a basic version (vacuum only, simple to assemble, charging-only dock) and a full-featured one (mop, auto-empty, extendable side brush). Some RFCs serve only the full build - mop lift in floor-care, the auto-empty dock in dock-cycle - so check which you are targeting before you start.

Core mechanical design is not an RFC. The chassis, brushes, mop, wheel mounts and shell are designed in-house and tracked in oomwoo-one-cad — a tightly-coupled reference design is slow and messy to settle by consensus. Planned hardware modules are listed in the RFC backlog; a well-defined, standalone piece (a mount, a spec, a part model) graduates to an RFC here.