Files
hermes-bot/README.md
T
kyleandClaude Sonnet 5.5 3b65697f1e Give Hermes recognitions, not just photos: faces(), tracking ids, discovery
Hermes asked for structured detections instead of a bare JPEG. faces() returns the
faces in view with no photo: a persistent track id, bbox, detection confidence, how
long the person has been in view, and identity {name, similarity} or null, never a
made-up name. look() returns that same JSON as text plus the photo (send_image can
skip it); list_people() gives names and counts; robot://status and two prompts make
the server discoverable, where list_resources and list_prompts were empty. The
detector now tracks faces across frames (FaceTracker) and publishes the track id and
the identity as a second hypothesis.

Deliberately not built: embeddings in responses, age/gender attributes, auto-updating
face data, and a remote enroll tool (a prompt could make the robot call anyone "Kyle").

Checked end to end: a real Hermes turn on the local ornith model called faces() (0.03 s,
no image) and answered that Kyle was there at 0.78 similarity. Also: the camera is
calibrated (18 of 24 views, 0.296 px, outlier rejection added) and the calibration is
kept in pi/calibration and restored by the installer.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AFN8nRRCiDiMN7ChBpHJhs
2026-10-05 01:21:32 -07:00

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# Hermes robot
A small desk robot that gives Hermes Agent (Nous Research's open-source agent) eyes, ears,
a voice and a face. It does no thinking of its own: Hermes runs on your computer and uses the robot
through MCP.
- **Eyes:** a camera. Hermes calls `look()` and gets a current photo.
- **Face:** an oscilloscope-style display that shows what the agent is really doing: asleep (no agent
connected), idle, listening, thinking, looking, speaking. The mouth draws the actual voice, and the
eyes glance toward whoever the camera sees.
- **Ears and voice:** the HAT's two microphones and speakers, shared with your computer as ordinary
audio devices.
- **Neck:** pan and tilt servos (`turn_head`), once they are fitted.
- **One cable:** USB-C carries power and a private network link to your computer. Wi-Fi is a fallback.
It runs ROS 2 Jazzy on Ubuntu 24.04, so a mobile version can grow out of it. Hermes needs no ROS: it
only speaks MCP.
## Status
| Works and is tested | Waiting on hardware |
|---|---|
| Face on the display, always on at power-up, with a sleeping pose | Servos: `turn_head`, `head_position`, the pan/tilt URDF |
| Camera, face detection, opt-in recognition of people you enrol | Speakers: playback, echo cancel, Hermes talking out loud |
| Eyes follow faces; mouth draws your live voice | Fan (the Pi runs at about 62 °C open-air without one) |
| MCP bridge: `hermes mcp test robot` passes, a real Hermes turn calls `look()` | USB-C splitter (the Pi is powered from your computer's port for now) |
| USB network link, firewall, boots and works with Wi-Fi off | Printed enclosure (`enclosure/`) |
## How it fits together
```
Your computer (Omarchy) Raspberry Pi 4 + BrainCraft HAT (Ubuntu 24.04)
Hermes Agent ── MCP over HTTP, USB link ────► hermes_mcp (the only way in or out of ROS)
PipeWire ◄── audio, TCP 4713 ──────────► PipeWire (not ROS)
│ ROS 2 graph, this machine only
camera_ros ► hermes_face_detector ► /vision/faces ─┐
hermes_audio_state ► levels, speaking/listening ───┤
hermes_mcp ► /hermes/state (the agent heartbeat) ──┴► hermes_face ► display
```
Every node is its own process, started by one launch file (`ros/hermes_bringup`) and restarted if it
dies. ROS never leaves the Pi. The firewall blocks it on every interface, so `hermes_mcp` is the one
door.
## Parts
| Part | Notes |
|---|---|
| Raspberry Pi 4 | 8 GB here. Ubuntu Server 24.04 arm64. |
| Adafruit BrainCraft HAT | 1.54″ ST7789 display, WM8960 audio codec with two mics, speaker and servo ports. |
| Arducam UC-346 | OV5647 camera, 15-pin ribbon, fixed focus. |
| 2 × MG90S servos | Pan (in the base) on the HAT's GPIO12 port, tilt (camera yoke) on GPIO13. |
| 2 × speakers | 8 Ω, up to 1 W, JST PH 2-pin. |
| USB-C power/data splitter | Power from a 5.1 V 3 A supply, data only to your computer. A Pi 4 cannot negotiate USB PD. |
| Fan | On the HAT's fan header. |
| Enclosure | `enclosure/`: printed, with a turntable. |
## Physical steps
1. The HAT's "3pin Volt" jumper must be on 5 V, which is the factory setting. Check it with a meter.
2. Pan servo into the GPIO12 port, tilt servo into GPIO13.
3. Camera ribbon: leave a gentle loop, because only the tilt flexes it.
4. **Slide the HAT's "Audio" switch (right edge) to ON.** With it off, everything looks configured and
every recording is exactly silent. This cost an hour once.
5. Power the Pi from the splitter, not straight from a port that cannot give 3 A. Never power it from a
laptop or tablet you care about the battery of.
## Setting up the Pi
1. **Flash** Ubuntu Server 24.04 for the Pi (arm64, preinstalled image) and check its SHA256.
2. **Configure first boot** on the card's `system-boot` partition. In `user-data`, create the user
`hermes` with key-only login and the hostname `hermes-bot`. For Wi-Fi, put the access point in
`network-config` (a template is `pi/50-cloud-init.yaml`; it holds your password, so it is
gitignored). cloud-init applies these on the *first* boot only: to change Wi-Fi later, edit
`/etc/netplan/50-cloud-init.yaml` on the Pi.
3. **Boot, then copy this repo to the Pi and run the installer:**
```
rsync -a ./ hermes@<pi>:~/hermes-bot/
ssh hermes@<pi> 'cd hermes-bot && sudo ./pi/install.sh'
```
It installs ROS, builds the camera driver against the Raspberry Pi libcamera fork, builds the
workspace, sets up audio, the USB link, the firewall and the services. It can be run again safely.
The first run takes a while (the libcamera build alone is about 15 minutes). **Reboot afterwards.**
4. Plug the USB-C data cable into your computer.
## Setting up your computer (Omarchy)
1. **Network link:** `sudo host/omarchy/robot-usb-link.sh` gives your end of the link `10.55.0.1/30`,
matched by the gadget's fixed MAC, so any port and any machine works. The robot is `10.55.0.2`.
2. **Hermes:** the token is in `/etc/robot-mcp.env` on the Pi. Put it in `~/.hermes/.env` as
`ROBOT_MCP_TOKEN=`, and merge `host/omarchy/hermes-config-snippet.yaml` into
`~/.hermes/config.yaml`.
3. **Audio (optional, needs the speakers):** `host/omarchy/50-robot-tunnel.conf` makes the robot's
microphone and speaker appear as devices; `host/omarchy/hermes-robot` starts Hermes with them as
the defaults.
## First test
```
ping 10.55.0.2
hermes mcp test robot # connects, lists the tools
hermes chat -q "Who is at the robot's desk right now?" # calls faces(): instant, no photo
hermes chat -q "Use the look tool and tell me what you see." # sends a photo
```
What Hermes can use: `faces()` (who is in view: names, positions, tracking ids; instant, no photo),
`look()` (the same faces summary plus a current photo), `list_people()`, and, once a head is fitted,
`turn_head` and `head_position`. `robot://status` says what hardware this robot actually has. Only faces
are detected. Face data never leaves the robot: Hermes gets names and similarity scores, and an
unrecognised face is `null`, never a guess.
The robot's face wakes when Hermes connects and falls asleep about 40 seconds after it leaves. A
look-and-describe turn takes a minute or so on local models: `look()` itself is instant. Hermes does not
give MCP images to the main model: it saves the photo to its image cache and the model calls
`vision_analyze` on it.
## Day to day
| State | Face | Comes from |
|---|---|---|
| sleeping | eyes closed, dim, slowly breathing | no agent connected (no heartbeat) |
| idle | blinks, smiles | the agent is connected |
| listening | mouth draws your voice, dimmer | the microphone (never wakes a sleeping face) |
| thinking | eyes trace looping curves | the agent |
| looking | squint, then a flash | `look()` |
| speaking | mouth draws the outgoing audio | the speaker |
- **Logs and control:** `journalctl -u robot -f` (the face logs every state change), `sudo systemctl
restart robot`.
- **Enrol yourself** so the eyes prefer you (numbers only are stored, never photos, in
`~/.local/share/hermes/faces.json`): on the Pi, with the robot running and after `source
~/robot-env.sh`, `python3 -m hermes_vision.people enroll YOURNAME`. `list` shows who is enrolled, `forget YOURNAME` removes you.
- **Update the code:** `rsync -a --delete --exclude __pycache__ ros/ hermes@<pi>:~/ros_ws/src/`, then
`colcon build --symlink-install` in `~/ros_ws`, then `sudo systemctl restart robot`.
- **Run a node by hand:** `source ~/robot-env.sh` first: it puts the libcamera fork and the right
OpenCV on the path, and keeps ROS local.
## Calibrating the camera
Needed once, and again if you change the lens focus or the image size. Set the focus first (the lens
turns if it is not glued: focus at the distance you will use), then show `docs/checkerboard-9x6.png`
on a screen (or print it) and measure one square with a ruler. With the robot running, on the Pi, after
`source ~/robot-env.sh`:
```
python3 -m hermes_vision.calibrate --cols 9 --rows 6 --square-mm <measured>
```
Hold the camera 25 to 60 cm from the board and vary distance, tilt and position, keeping all of it in
view. It collects 20 different views, solves with OpenCV and writes
`~/.ros/camera_info/ov5647__base_soc_i2c0mux_i2c_1_ov5647_36_1296x972.yaml`. A reprojection error under
about 0.5 px is good. `sudo systemctl restart robot` to load it.
## Tuning and troubleshooting
- **Recordings are exactly silent:** the Audio switch is off (see above).
- **Microphone too noisy or too quiet:** WirePlumber resets the codec's capture gain to +30 dB. The
installer sets PipeWire's source volume to 63% (about +17 dB); change it with `pactl
set-source-volume @DEFAULT_SOURCE@ 63%`. Remember that PipeWire's scale is cubic.
- **The face flickers between listening and idle:** raise `hold_s` in `ros/hermes_audio/hermes_audio/levels.py`.
- **Stock libcamera crashes when capturing:** that is expected on this kernel. The installer builds the
Raspberry Pi fork into `/opt/libcamera-rpi` and builds `camera_ros` against it. Anything that uses
the camera must run after `source ~/robot-env.sh`.
- **Display shows noise or a band:** the 240×240 glass sits 80 rows into the controller's memory
(`y_offset: 80`), and `rotation: 270` is the mounted pose. Both are in `ros/hermes_bringup/config/robot.yaml`.
- **`GPIO busy` or a crash at start from systemd:** the display's GPIO backend needs a writable working
directory; the unit sets one.
- **The USB interface is unmanaged:** netplan must match `usb0` by *name*, not by MAC.
- **`ros2 node list` shows only some nodes:** use `ros2 node list --no-daemon --spin-time 6`.
- **The Pi's clock is wrong with Wi-Fi off:** there is no internet to sync from; it stays roughly right
but unsynchronised.
- **A one-off message to the face is ignored:** ROS drops a message published before the connection
matches. Republish it, as `hermes_mcp` does every second.
## Security
- The robot's ports are open **only over the USB link, only to `10.55.0.1`**: audio (4713), MCP (8765)
and a reserved webhook port (8766). Everything else of those is dropped on Wi-Fi.
- **ROS is blocked on every interface**, including USB. It has no authentication and carries the camera
and recognised names.
- MCP needs a bearer token, kept in `/etc/robot-mcp.env` (root and the service user only).
- **SSH is open on all interfaces** (key-only), by choice, for the mobile version.
- Face recognition is opt-in and stores only numbers. Hermes keeps each `look()` photo in its image
cache on your computer.
- Never power the robot from a device whose battery you care about.
## Files
| Path | What |
|---|---|
| `ros/` | The ROS 2 workspace: `hermes_face`, `hermes_vision`, `hermes_audio`, `hermes_mcp`, `hermes_bringup`. |
| `pi/` | Everything installed on the Pi: `install.sh` and its parts, services, firewall, overlays. |
| `host/` | Your computer's side: the USB link script, Hermes and PipeWire config, a platform check. |
| `enclosure/` | OpenSCAD model, STLs and the print guide. Built from estimates: measure before printing. |
| `docs/face-prototype.html` | The browser prototype the face was ported from. |
| `HANDOFF.md` | The original implementation brief. `CONTEXT.md` tracks where things really stand. |