Perception stack

Sensor Component Trends

Sensor view: 1007 technologies over the last 90 days. Start with the ranking table below, then use the longer notes for context.

View ranking table

Tracked

1007

Active

993

Peak

37

Primary view

Ranking table

Window and kind

30d 90d All SensorConnectivityAIVoice Assistant
IMU
Sensor · 40 robots tracked
0
37
Steady — Med
LiDAR
Sensor · 22 robots tracked
0
21
Steady → Flat High
Cliff Sensors
Sensor · 16 robots tracked
0
16
Steady → Flat High
3D LiDAR
Sensor · 12 robots tracked
0
12
Steady → Flat High
RGB Camera
Sensor · 12 robots tracked
0
11
Steady → Flat High
360° LiDAR
Sensor · 9 robots tracked
+8
9
Riser — Med
Force Sensors
Sensor · 8 robots tracked
0
8
Steady → Flat High
Rain Sensor
Sensor · 8 robots tracked
0
8
Steady → Flat High
Vision System
Sensor · 12 robots tracked
0
8
Steady → Flat High
Cameras
Sensor · 8 robots tracked
0
7
Steady → Flat High
Microphone
Sensor · 8 robots tracked
0
7
Steady → Flat High
Microphones
Sensor · 9 robots tracked
0
7
Steady → Flat High
Lift Sensor
Sensor · 6 robots tracked
0
6
Steady → Flat High
Rgb-d Camera
Sensor · 6 robots tracked
0
6
Steady → Flat High
Touch Sensors
Sensor · 7 robots tracked
0
6
Steady → Flat High
Camera
Sensor · 5 robots tracked
0
5
Steady → Flat High
Depth Camera
Sensor · 6 robots tracked
0
5
Steady → Flat High
RGB Cameras
Sensor · 6 robots tracked
0
5
Steady → Flat High
Tilt Sensor
Sensor · 5 robots tracked
0
5
Steady → Flat High
Touch Sensor
Sensor · 5 robots tracked
0
5
Steady → Flat High
Depth Cameras
Sensor · 4 robots tracked
0
4
Steady → Flat High
Gyroscope
Sensor · 4 robots tracked
0
4
Steady → Flat High
2D LiDAR
Sensor · 3 robots tracked
0
3
Steady — Med
GPS
Sensor · 3 robots tracked
+1
3
Riser — Med
Rgb-d Cameras
Sensor · 3 robots tracked
0
3
Steady → Flat High
Speaker
Sensor · 3 robots tracked
0
3
Steady → Flat High
4 Microphones
Sensor · 2 robots tracked
0
2
Steady → Flat High
4-mic Array
Sensor · 2 robots tracked
0
2
Steady → Flat High
6-axis IMU
Sensor · 2 robots tracked
0
2
Steady → Flat High
Accelerometer
Sensor · 2 robots tracked
0
2
Steady → Flat High
AI Camera
Sensor · 3 robots tracked
0
2
Steady → Flat High
Bump Sensors
Sensor · 2 robots tracked
0
2
Steady → Flat High
Depth Sensors
Sensor · 3 robots tracked
0
2
Steady → Flat High
Front Camera
Sensor · 2 robots tracked
0
2
Steady → Flat High
Hd Cameras
Sensor · 2 robots tracked
0
2
Steady → Flat High
IMU Sensor
Sensor · 2 robots tracked
0
2
Steady → Flat High
Light Sensor
Sensor · 2 robots tracked
0
2
Steady → Flat High
Wall Sensors
Sensor · 2 robots tracked
0
2
Steady → Flat High
13 Mp Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
16-line LiDAR
Sensor · 1 robots tracked
0
1
Steady → Flat High
24 Sensors
Sensor · 1 robots tracked
0
1
Steady → Flat High
2k Hd Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
3 Microphones
Sensor · 1 robots tracked
0
1
Steady → Flat High
360° LIDAR
Sensor · 1 robots tracked
0
1
Steady → Flat High
360° VSLAM
Sensor · 1 robots tracked
0
1
Steady → Flat High
3d TOF Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
3d Vision
Sensor · 1 robots tracked
0
1
Steady → Flat High
3d-tof LiDAR
Sensor · 1 robots tracked
0
1
Steady → Flat High
4 AI Cameras
Sensor · 1 robots tracked
0
1
Steady → Flat High
4 Radar Units
Sensor · 1 robots tracked
0
1
Steady → Flat High
4k Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
4k Hd Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
5 Mp Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
5 W Speaker
Sensor · 1 robots tracked
0
1
Steady → Flat High
6 RGB Cameras
Sensor · 1 robots tracked
0
1
Steady → Flat High
8 Cameras
Sensor · 1 robots tracked
0
1
Steady → Flat High
9-axis IMU
Sensor · 1 robots tracked
0
1
Steady → Flat High
AI RGB Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
Als Sensor
Sensor · 1 robots tracked
0
1
Steady → Flat High
Aroma Sensor
Sensor · 1 robots tracked
0
1
Steady → Flat High
Back Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
Beidou
Sensor · 1 robots tracked
0
1
Steady → Flat High
Bump Sensor
Sensor · 1 robots tracked
0
1
Steady → Flat High
Bumper Sensor
Sensor · 1 robots tracked
0
1
Steady → Flat High
Chassis LiDAR
Sensor · 1 robots tracked
0
1
Steady → Flat High
Depth Sensing
Sensor · 1 robots tracked
0
1
Steady → Flat High
Dirt Sensor
Sensor · 1 robots tracked
0
1
Steady → Flat High
Drop Sensors
Sensor · 1 robots tracked
0
1
Steady → Flat High
Dtof Sensor
Sensor · 1 robots tracked
0
1
Steady → Flat High
Dual Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
Dual Cameras
Sensor · 1 robots tracked
0
1
Steady → Flat High
Encoders
Sensor · 1 robots tracked
0
1
Steady → Flat High
Front LiDAR
Sensor · 1 robots tracked
0
1
Steady → Flat High
Gnss Receiver
Sensor · 1 robots tracked
0
1
Steady → Flat High
GPS Tracking
Sensor · 1 robots tracked
0
1
Steady → Flat High
Grip Switch
Sensor · 1 robots tracked
0
1
Steady → Flat High
Gyroscopes
Sensor · 2 robots tracked
0
1
Steady → Flat High
Imus
Sensor · 1 robots tracked
0
1
Steady → Flat High
Joint Sensing
Sensor · 1 robots tracked
0
1
Steady → Flat High
Laser Sensor
Sensor · 2 robots tracked
0
1
Steady → Flat High
Laser SLAM
Sensor · 1 robots tracked
0
1
Steady → Flat High
Lds LiDAR
Sensor · 1 robots tracked
0
1
Steady → Flat High
Mid-360 LiDAR
Sensor · 1 robots tracked
0
1
Steady → Flat High
Mm-wave Radar
Sensor · 1 robots tracked
0
1
Steady → Flat High
Motion Sensor
Sensor · 1 robots tracked
0
1
Steady → Flat High
Night Vision
Sensor · 1 robots tracked
0
1
Steady → Flat High
PoolSense 2.0
Sensor · 1 robots tracked
0
1
Steady → Flat High
Radar
Sensor · 1 robots tracked
0
1
Steady → Flat High
Rear Camera
Sensor · 2 robots tracked
0
1
Steady → Flat High
Rear LiDAR
Sensor · 1 robots tracked
0
1
Steady → Flat High
Reid Tracking
Sensor · 1 robots tracked
0
1
Steady → Flat High
RGBD Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
RGBD Cameras
Sensor · 1 robots tracked
0
1
Steady → Flat High
Sensor Skin
Sensor · 1 robots tracked
0
1
Steady → Flat High
SLAM Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
Sonar Sensors
Sensor · 1 robots tracked
0
1
Steady → Flat High
Speakers
Sensor · 1 robots tracked
0
1
Steady → Flat High
Stereo Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
Stereo Vision
Sensor · 1 robots tracked
0
1
Steady → Flat High
Tactile
Sensor · 1 robots tracked
0
1
Steady → Flat High
Thermal
Sensor · 1 robots tracked
0
1
Steady → Flat High
TOF Sensor
Sensor · 2 robots tracked
0
1
Steady → Flat High
TOF Sensors
Sensor · 1 robots tracked
0
1
Steady → Flat High
Torso IMU
Sensor · 1 robots tracked
0
1
Steady → Flat High
Touch Buttons
Sensor · 1 robots tracked
0
1
Steady → Flat High
Touch Input
Sensor · 1 robots tracked
0
1
Steady → Flat High
Vision Camera
Sensor · 1 robots tracked
0
1
Steady → Flat High
VSLAM
Sensor · 1 robots tracked
0
1
Steady → Flat High
Webcams
Sensor · 1 robots tracked
0
1
Steady → Flat High
Wrist Cameras
Sensor · 1 robots tracked
0
1
Steady → Flat High
Hd Camera
Sensor · 1 robots tracked Quiet window
0
0
Steady → Flat High
Tactile Skin
Sensor · 1 robots tracked Quiet window
0
0
Steady → Flat High

Current signal board

A quick pass on which components are lifting, cooling, dominating footprint, or still building historical context.

Watch list

Cooling

0 items

No cooling components right now.

Coverage leaders

Broadest footprint

4 items
IMU

Sensor · 40 robots in the directory

37
37 verified in this window —
LiDAR

Sensor · 22 robots in the directory

21
21 verified in this window → Flat
Cliff Sensors

Sensor · 16 robots in the directory

16
16 verified in this window → Flat
3D LiDAR

Sensor · 12 robots in the directory

12
12 verified in this window → Flat

Sensor field notes

Keep the ranking table fast, then use this route-specific readout to understand what the lane is actually signaling.

Perception stack

What this lane is actually tracking

Track the hardware layer behind mapping quality, obstacle awareness, and confident movement through real homes. Rising signal here usually means navigation hardware is becoming standard rather than staying premium-only.

Watch LiDAR, camera, and fusion labels move from premium upgrades toward default equipment.
Validate fast 30-day spikes against the 90-day lane before calling a durable platform shift.

Cross-check next

Use the 30-day view to confirm whether today’s move is holding. IMU currently leads this lane with 37 recent verifications.

Active now

993

Rows with fresh signal in this window

Sustained

981

Rows with confirmed direction

Sensor family radar

A tighter grouping for the sensor lane so adjacent naming variations do not hide the broader hardware picture.

Family radar

Specialized labels

299 labels

Vendor-specific or niche sensor names that do not cluster cleanly yet, but still matter in the raw index.

Total signal

338

Lead label

Not Officially Disclosed

Examples: Not Officially Disclosed, Lift Sensor, Tilt Sensor, ...

Family radar

Vision and cameras

265 labels

Camera-led perception stacks, including RGB, stereo, and structured-light variants that often appear under slightly different vendor phrasing.

Total signal

327

Lead label

RGB Camera

Examples: RGB Camera, Vision System, Cameras, ...

Family radar

LiDAR and ranging

151 labels

Depth, scanning, and ranging labels that usually indicate spatial awareness hardware rather than marketing copy alone.

Total signal

206

Lead label

LiDAR

Examples: LiDAR, 3D LiDAR, 360° LiDAR, ...

Family radar

Proximity and obstacle sensing

131 labels

Near-field awareness labels covering cliff, ultrasonic, infrared, rain, and obstacle-detection hardware.

Total signal

185

Lead label

Cliff Sensors

Examples: Cliff Sensors, Rain Sensor, Touch Sensors, ...

Read the trend correctly

Use signal for footprint, delta for immediate change, momentum for confirmation, and reliability to judge how much trust to place in the pattern.

Signal

How many robots carrying the component were verified in the last 90 days. Treat it as current footprint, not install base.

Delta

Change against the last stored snapshot. Positive means more recent verification activity, negative means cooling, and a dash means the baseline is still forming.

Momentum

Two consecutive moves in the same direction. Use it to separate one-off spikes from signals that are holding their shape.

Reliability

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.

About Sensor Components

1007 sensor components form the perception layer of home robots — the hardware enabling navigation, obstacle detection, mapping, and environmental awareness. Sensors are the fastest-evolving technology category in home robotics, directly determining how well a robot understands and interacts with its environment. The 90-day trend data above tracks which sensors are gaining or losing adoption across recently verified robots.

Most used: IMU (40 robots), LiDAR (22 robots), Cliff Sensors (16 robots), Force/Torque Sensors (15 robots), 3D LiDAR (12 robots).

Using This Trend Data

Components with high signal values and rising deltas are gaining manufacturer adoption — these represent technologies the industry is converging around. Components with declining signals may indicate either a technology being phased out or simply a gap in recent verification activity. Pay attention to momentum alongside the delta: a component with sustained upward momentum across multiple snapshots is a stronger signal of genuine growth than one with a single positive delta. Reliability indicators tell you how much confidence to place in the trend — high reliability means the pattern is confirmed by multiple data points, while low reliability means the trend is based on limited historical data. For purchasing decisions, combine trend data with the individual component detail pages linked from the table, which provide deeper technical context and robot compatibility information.

LiDAR expansion — Once exclusive to premium robot vacuums, LiDAR sensors are now appearing in mid-range products as costs decrease. The trend table above shows whether LiDAR adoption is accelerating in the current window.
AI-powered cameras — RGB and depth cameras paired with object recognition AI are becoming the primary navigation sensor for newer robots, reducing reliance on traditional bump and cliff sensors.
Multi-sensor fusion — Modern robots increasingly combine complementary sensors (LiDAR + camera + ultrasonic) for more robust perception. Rising adoption of multiple sensor types simultaneously signals this fusion trend.
Time-of-flight sensors — ToF cameras are emerging as a compact alternative to structured-light depth sensors, particularly for close-range obstacle detection in tight spaces.

Buying Context

When evaluating a robot's sensor suite, look beyond the sensor count. A robot with fewer but well-integrated sensors (camera + LiDAR fusion) often navigates better than one with many discrete sensors working independently. Pay attention to the trend direction — sensors showing sustained adoption growth tend to have better manufacturer support and third-party compatibility. Sensors in decline may still function well but could indicate the manufacturer ecosystem is moving toward alternatives.

Compare with the 30-day sensor trends for a broader adoption picture.

Related
Components Directory Components Glossary Robot Categories Compare Robots

Frequently Asked Questions

How often is the 90-day trend data updated?
Recalculated on every page load from current robot verification dates. Signal = robots verified in the last 90 days. Snapshots for delta/momentum are stored periodically.
What does "No baseline" mean for a sensor component?
First measurement in this window — no previous snapshot to compare. Once a second snapshot is taken, the component gets a delta and eventually momentum data.
What is the difference between 30-day and 90-day trends?
30-day is volatile and sensitive to individual product launches. 90-day smooths noise and reveals sustained adoption. A component rising in both views is showing genuine growth.
How is momentum different from the trend delta?
Delta compares against the single last snapshot. Momentum requires two snapshots and checks for sustained direction — two consecutive increases or decreases. Momentum is a stronger signal of real change.
Can trend data predict which sensor components will be popular?
Trends show historical adoption patterns, not predictions. But sustained upward momentum in the 90-day view tends to continue as it reflects manufacturer consensus. Cross-reference with industry news and announcements.
Why is LiDAR adoption growing in mid-range robots?
LiDAR sensor costs have dropped significantly as manufacturing scaled for automotive applications. This cost reduction makes LiDAR viable for robots under $500, where it was previously limited to premium models. The technology provides precise room mapping that camera-only systems struggle to match in low light.
Are more sensors always better in a home robot?
Not necessarily. A robot with well-integrated camera + LiDAR fusion often outperforms one with many discrete sensors working independently. The key is sensor fusion quality — how well the robot's AI combines data from multiple sources — rather than raw sensor count. Check individual robot reviews for real-world navigation performance.