Run the whole robot from one launch file and one boot-time unit

hermes_bringup starts the face, camera, face detector and audio levels from one
launch file with their parameters in robot.yaml, each node its own respawned
process, the face first and the others after start_delay. robot.service runs it
at boot, so everything is ROS and the face is up whenever the robot is powered.
Reboot-tested: all services and nodes return by themselves, the face draws at
about 28 s on the boot clock, the mic gain survives, nothing throttles.

Cut the CPU: the camera runs at 15 fps (20% of a core, vs 40% at 30), and the
detector went from 131% to 40% by pinning OpenCV to one thread (its DNN burns 3-4x
its elapsed time across cores), decoding the JPEG at half size, and re-identifying
a tracked face at most once a second. The audio scope is published only while
someone is speaking or listening.

A standalone face unit that skipped `ros2 launch` saved only 3.7 s and was dropped:
the owner prefers everything in ROS and is fine with up to a minute. trim-boot.sh
disables the unused snapd and ModemManager.

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AFN8nRRCiDiMN7ChBpHJhs
This commit is contained in:
2026-10-05 00:10:09 -07:00
co-authored by Claude Sonnet 5.5
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commit d8db0a48f5
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# Parameters for the robot's nodes, keyed by node name. The MCP token and other secrets do not
# belong here: they stay in an env file readable only by the service user.
camera:
ros__parameters:
width: 1296 # the OV5647's full-field binned mode: whole field of view
height: 972
format: RGB888
FrameDurationLimits: [66666, 66666] # 15 fps: ~20% of a core, vs ~40% at 30; plenty for 4 Hz faces
jpeg_quality: 80
hermes_face:
ros__parameters:
rotation: 270 # mounted pose, microSD end up (the panel is portrait)
x_offset: 0
y_offset: 80 # the 240x240 glass sits 80 rows into the controller's RAM
fps: 30.0
phosphor: P7
style: phosphor
initial_state: sleeping # no agent connected until hermes_mcp's heartbeat says so
agent_timeout_s: 10.0
gaze_follow: true
audio_drive: true
hermes_face_detector:
ros__parameters:
rate_hz: 4.0
recognize: true # only recognises people enrolled with hermes_vision.people
publish_debug: false
hermes_audio_state:
ros__parameters:
rate_hz: 30.0