Tracked
2047
Adoption monitor
Live ranking of 2047 component technologies over the last 90 days. The table below shows footprint, change, and confidence before the deeper notes.
View ranking tableTracked
2047
Active
89
Peak
5
Window
The 90d window is best for fresh movement. Use the 30d window when you want a steadier signal.
Primary view
Active rows
89
Quiet rows
1958
Sustained
69
A quick pass on which components are lifting, cooling, dominating footprint, or still building historical context.
Fast movers
Connectivity · 22 robots in the directory
Voice Assistant · 1 robots in the directory
Sensor · 1 robots in the directory
AI · 1 robots in the directory
Watch list
Coverage leaders
Connectivity · 124 robots in the directory
Connectivity · 70 robots in the directory
Connectivity · 37 robots in the directory
Sensor · 14 robots in the directory
Fresh data
Sensor · 2 robots in the directory
Connectivity · 1 robots in the directory
Connectivity · 1 robots in the directory
Sensor · 1 robots in the directory
Each card rolls up footprint, average signal, and net movement for a component family.
Component kind
Components
77
Avg signal
0
Baselines
73/77
Lead signal
1
Most active component
AI Voice Recognition
1 recent verifications in this window
Component kind
Components
409
Avg signal
0
Baselines
353/409
Lead signal
1
Most active component
Astribot describes Lumo-2 task models and explicitly says T1 does not learn autonomously in real time during deployment. It collects operational and teleoperation data, curates it, retrains models and delivers updated skills through OTA updates or on-site installation and calibration. General household reliability is not established by the reported demonstrations.
1 recent verifications in this window
Component kind
Components
417
Avg signal
0.1
Baselines
326/417
Lead signal
5
Most active component
Wi-Fi
5 recent verifications in this window
Component kind
Components
1144
Avg signal
0.1
Baselines
1001/1144
Lead signal
2
Most active component
3D LiDAR
2 recent verifications in this window
Use signal for footprint, delta for immediate change, momentum for confirmation, and reliability to judge how much trust to place in the pattern.
How many robots carrying the component were verified in the last 90 days. Treat it as current footprint, not install base.
Change against the last stored snapshot. Positive means more recent verification activity, negative means cooling, and a dash means the baseline is still forming.
Two consecutive moves in the same direction. Use it to separate one-off spikes from signals that are holding their shape.
High reliability means multiple historical checkpoints, medium means limited history, low means the component still needs another capture before comparison becomes meaningful.
The 90-day window smooths out one-off updates. When you want the earliest hint of movement, cross-check against the 30-day view.