Where it shows up
1 category
The heaviest concentration is in Companions (1). On this route, category distribution is the fastest clue for whether Itof Depth Sensor is a baseline utility or a more selective differentiator.
Itof Depth Sensor appears across 1 tracked robots, concentrated in Companions. Start here when the job is understanding why this sensor matters, then sweep the live roster without scrolling through 1 oversized cards.
Sensor pages are really about decision quality. The key question is not whether the part exists, but what class of perception problem it meaningfully improves.
Where it shows up
The heaviest concentration is in Companions (1). On this route, category distribution is the fastest clue for whether Itof Depth Sensor is a baseline utility or a more selective differentiator.
What it tends to unlock
Perception, mapping, detection, and safer motion decisions, cleaner autonomy loops when the robot needs environmental context, and higher-quality data for navigation, manipulation, or monitoring.
What to verify
Coverage, placement, and how the sensor performs in messy conditions, what decisions actually rely on the sensor versus backup systems, and whether the label signals depth, proximity, or full-scene understanding. Top manufacturers here include Zeroth Robotics (1).
Evidence sources
Official references
Use the structure first: which categories lean on Itof Depth Sensor, which manufacturers repeat it, and what usually ships beside it.
| # | Name | Usage |
|---|---|---|
| 1 | Companions | 1 robot |
| # | Name | Usage |
|---|---|---|
| 1 | Zeroth Robotics | 1 robot |
| # | Name | Shared robots |
|---|---|---|
| 1 | 3-microphone Circular Array | 1 robot |
| 2 | Embodied-intelligence platform with whole-home mapping, visual recognition and obstacle avoidance, posture/motion tracking, multilingual conversational interaction, and support for open programming, VR integration, and reinforcement-learning tools | 1 robot |
| 3 | IMU | 1 robot |
| 4 | Lds LiDAR | 1 robot |
| 5 | Vision Camera | 1 robot |
Reading note
This page is strongest when you use the rankings to orient the market and the directory below to verify individual profiles. The goal is faster comparison, not another endless essay stack.
The old card wall is replaced with a featured first-click strip and a dense inventory table so the route behaves like a serious directory.
This route now uses a shortlist-first browse model: open the clearest live profiles first, then sweep the full inventory in a dense table instead of burning through one oversized card after another.
Ready now
0
Public price
1
Official links
1
Featured now
1
How to scan this directory
Best first clicks
These robots score highest on readiness, public detail quality, and image clarity, making them the fastest way to understand how Itof Depth Sensor shows up in practice.
Image pending
Companions · Zeroth Robotics
Zeroth Robotics M1 is a compact home companion robot that Zeroth introduced with its US launch at CES 2026 and now promotes through a dedicated product page plus a reservation flow. Official materials position M1 as an 'embodied intelligence' robot for home companionship, gentle fall detection, mobile safety checks, daily assistance, kid-focused interactive learning, pet behavior monitoring, and remote family interaction. The robot combines a 20-DoF body with both bipedal and wheeled mobility, whole-home LiDAR mapping, iTOF depth sensing, vision-based recognition and obstacle avoidance, multilingual conversation, and an open platform for programming, VR, and reinforcement-learning experimentation.
Public price
$2,899
Zeroth's official CES 2026 launch PR sai…
Battery
~2 hours
Charge 80% in 1 hour
Shortlist read
Commercial intent is clear, but delivery timing should be validated.
Compact mobile scan: status, price, standout context, and links stay visible without sideways scrolling.
Zeroth Robotics · Companions
Price
$2,899
Standout
Battery · ~2 hours
Quick answers
The short version of what this label means in the ui44 catalog, where it matters, and how to compare it without over-reading the marketing copy.
Itof Depth Sensor currently appears on 1 tracked robots across 1 manufacturers. That makes this route useful for both deep research and fast shortlist scanning, not just one-off editorial reading.
The strongest concentration is in Companions (1). Category mix is the fastest clue for whether this component behaves like baseline plumbing or a more selective differentiator.
0 of the 1 tracked profiles are currently marked Available or Active. That means the label has live market relevance here, but you should still open the profiles with public pricing or official links first before treating it as a clean buyer signal.
Start with readiness, official source quality, and the standout spec column in the inventory table. On component routes, those three signals usually remove weak profiles faster than reading every descriptive paragraph.
The strongest shared-stack signals here are 3-microphone Circular Array (1), Embodied-intelligence platform with whole-home mapping, visual recognition and obstacle avoidance, posture/motion tracking, multilingual conversational interaction, and support for open programming, VR integration, and reinforcement-learning tools (1), and IMU (1). Use those pairings to branch into adjacent component pages when one label is too narrow for the decision.
1 matching robots currently expose public pricing. That is enough to create directional context, but not enough to treat one price bracket as the whole market. Use the directory to find the transparent profiles first, then widen the sweep.
Start with Zeroth Robotics (1). Repetition across manufacturers is often the clearest signal that the component is part of a stable market pattern rather than a one-off marketing callout.
The original long-form component research is still here, but collapsed so the main route can prioritize hierarchy and scan speed.
The baseline explanation of what Itof Depth Sensor is, why it matters, and how to think about it before comparing implementations.
Itof Depth Sensor is a sensor component found in 1 robot tracked in the ui44 Home Robot Database. As a sensor technology, Itof Depth Sensor plays a specific role in enabling robot perception, interaction, or operation depending on its implementation in each platform.
Component Type
Used By
1 robot
Manufacturer
Category
Price Range
$2.9k
Sensors are the perceptual backbone of any robot. They convert physical phenomena — light, sound, distance, motion, temperature — into digital signals that the robot's AI can process and act upon.
In the ui44 database, Itof Depth Sensor is categorized under Sensor components. For a comprehensive explanation of all component types, consult the components glossary.
The sensor suite is one of the most important differentiators between robots. Robots with richer sensor arrays can navigate more complex environments, avoid obstacles more reliably, and perform more nuanced tasks.
Directly impacts what a robot can actually do in practice — not just on paper
Richer sensor arrays enable more complex navigation and interaction
Determines obstacle avoidance reliability and object/person recognition
Used in 1 robot across 1 category — Companions, indicating specialized use across the robotics industry.
Modern robot sensors work by emitting or detecting various forms of energy. The robot's processor fuses data from multiple sensors simultaneously (sensor fusion) to build a coherent understanding of its surroundings.
Active sensors
LiDAR and ultrasonic emit signals and measure reflections to determine distance and shape
Passive sensors
Cameras and microphones detect ambient light and sound without emitting anything
Sensor fusion
The processor combines data from all sensors simultaneously for a coherent environmental picture
Itof Depth Sensor Integration
Implementation varies by robot platform and manufacturer. Each robot integrates Itof Depth Sensor differently depending on system architecture, use case, and target tasks. Integration with other onboard sensors and the main processing unit determines real-world performance.
Deeper technical framing, matched technology profiles, and the longer use-case treatment for Itof Depth Sensor.
In-depth technical analysis of 2 technology domains relevant to this component
While the sections above cover general sensor principles, this analysis focuses on the particular technology domains relevant to Itof Depth Sensor based on its implementation characteristics. We cover LiDAR & Time-of-Flight Ranging, Depth Sensing & 3D Perception.
LiDAR (Light Detection and Ranging) and time-of-flight sensors measure distances by emitting light pulses and measuring the time they take to reflect back from surfaces. This principle enables precise, three-dimensional mapping of the robot's environment regardless of ambient lighting conditions — a significant advantage over camera-only systems that struggle in darkness or strong direct sunlight. In home robotics, LiDAR has become the gold standard for floor plan mapping and systematic navigation.
Two main LiDAR architectures exist in consumer robotics. Mechanical spinning LiDAR uses a rotating mirror or emitter assembly to sweep a laser beam 360° around the robot, building a complete horizontal distance profile with each revolution. This technology is proven and reliable but involves moving parts that can wear over time. Solid-state LiDAR eliminates moving components by using arrays of emitters and detectors, or MEMS (micro-electromechanical) mirrors, to steer the beam electronically. Solid-state designs are more compact, potentially more durable, and increasingly cost-effective, though they may have slightly different field-of-view characteristics than spinning units.
Time-of-flight sensors used in robotics typically operate with infrared laser diodes at wavelengths around 850-940 nm, which are invisible to the human eye. Consumer robots universally use Class 1 eye-safe lasers, meaning the beam intensity is low enough to be safe even with direct eye exposure. The precision of these sensors — typically 1-3 cm at ranges up to 12 meters for consumer-grade units — enables robots to build room maps accurate enough for efficient navigation and furniture avoidance. More advanced implementations combine LiDAR distance data with camera imagery in a process called sensor fusion, creating rich 3D environmental models that combine the geometric precision of LiDAR with the semantic richness of visual data.
Depth sensors extend robot perception into three dimensions, enabling the detection of objects at varying heights — critical for avoiding furniture legs, detecting items on the floor, and navigating around pets and children. While traditional 2D LiDAR scans at a single horizontal plane, depth sensors provide distance measurements across a two-dimensional field of view, creating a depth map that reveals the 3D structure of the scene.
Several technologies enable depth sensing in robots. Structured light projection casts a known pattern (typically infrared dots or stripes) onto the scene and analyzes the pattern's deformation to calculate distances — the same principle used in early Microsoft Kinect sensors and modern smartphone face scanners. Stereo depth cameras use two horizontally offset cameras (mimicking human binocular vision) and compute depth from the disparity between the two images. Active stereo systems combine stereo cameras with an infrared projector that adds texture to featureless surfaces, improving depth accuracy in environments with plain walls or smooth floors. Time-of-flight depth cameras emit modulated infrared light across their entire field of view and measure the phase shift of the reflected light to determine distance at each pixel simultaneously.
The choice of depth sensing technology involves significant engineering trade-offs. Structured light works well indoors but fails in direct sunlight. Stereo depth cameras have minimum distance limitations and can struggle with textureless surfaces. Time-of-flight sensors offer the best outdoor performance but may have lower resolution than structured light alternatives. For home robots, the operating environment is relatively controlled — consistent indoor lighting, defined room boundaries, and predictable surface types — which allows manufacturers to optimize their depth sensing approach for this specific context rather than requiring the most universal (and expensive) solution.
In the ui44 database, Itof Depth Sensor is currently tracked exclusively in the M1 by Zeroth Robotics. This companions robot integrates Itof Depth Sensor as part of a total technology stack comprising 6 components: 5 sensors, 0 connectivity modules, and a Embodied-intelligence platform with whole-home mapping, visual recognition and obstacle avoidance, posture/motion tracking, multilingual conversational interaction, and support for open programming, VR integration, and reinforcement-learning tools AI platform.
Zeroth Robotics M1 is a compact home companion robot that Zeroth introduced with its US launch at CES 2026 and now promotes through a dedicated product page plus a reservation flow. Official materials position M1 as an 'embodied intelligence' robot for home companionship, gentle fall detection, mobile safety checks, daily assistance, kid-focused interactive learning, pet behavior monitoring, and r…
The M1 is priced at $2,899, which includes Itof Depth Sensor as part of the integrated sensor package. Visit the full M1 specification page for complete technical details and purchasing information.
Itof Depth Sensor works alongside 4 other sensor components in the M1: LDS LiDAR, Vision camera, IMU, 3-microphone circular array. This combination of sensor technologies creates the M1's overall sensor capabilities, with each component contributing different aspects of environmental perception.
Beyond the high-level overview, understanding the technical foundations of sensor technologies like Itof Depth Sensor helps buyers and researchers evaluate implementations more critically.
Every sensor converts a physical quantity into an electrical signal that can be digitized and processed. The raw analog output is conditioned through amplification, filtering, and A/D conversion before reaching the processor.
Sensor performance involves key metrics with inherent engineering trade-offs.
Sensor technology in robotics has evolved dramatically over the past decade.
Early home robots relied on simple bump sensors and infrared proximity detectors
Today's platforms incorporate multi-spectral cameras, solid-state LiDAR, and millimeter-wave radar
Miniaturization: sensors that filled circuit boards now fit into fingernail-sized packages
Next frontier: sensor fusion at the hardware level — multiple sensing modalities in single chip-scale packages
No sensor is perfect in all conditions. Understanding limitations is critical for evaluating robots in specific environments.
Key application domains for sensor technologies like Itof Depth Sensor.
Sensors enable robots to build maps of their environment, detect obstacles in real time, and plan collision-free paths. This is essential for both indoor robots (navigating furniture and doorways) and outdoor robots (handling terrain variations and weather conditions). The quality and coverage of the sensor array directly determines how reliably a robot can navigate without human intervention.
Advanced sensors allow robots to identify objects by shape, color, and texture, enabling tasks like picking up items, sorting packages, or recognizing faces. Depth-sensing technologies are particularly important for calculating object distances and sizes, which is necessary for precise manipulation in both home and industrial settings.
In environments shared with humans, sensors provide the critical safety layer that prevents robots from causing harm. Proximity sensors, bumper sensors, and vision systems work together to detect people and obstacles, triggering immediate stop or avoidance maneuvers. This is a fundamental requirement for any robot operating in homes, hospitals, or public spaces.
Sensors can measure temperature, humidity, air quality, and other environmental parameters. Robots equipped with these sensors can perform automated monitoring rounds in warehouses, data centers, or homes, alerting users to abnormal conditions like water leaks, temperature spikes, or poor air quality.
Microphones, cameras, and touch sensors enable natural interaction between robots and humans. These sensors allow robots to recognize voice commands, detect gestures, respond to touch, and maintain appropriate social distances during conversations or collaborative tasks.
Visit each robot's detail page to see which capabilities are available on specific models.
Manufacturer mix, specs context, price context, category overlap, and adjacent components worth branching into next.
Itof Depth Sensor spans 1 robot category — from consumer to research platforms.
Technologies most often paired with Itof Depth Sensor across 1 robot.
Browse the full components directory or see the components glossary for detailed explanations of each technology.
1 of 1 robots with Itof Depth Sensor have public pricing, ranging $2.9k – $2.9k.
Lowest
$2.9k
M1
Average
$2.9k
1 robot with pricing
Highest
$2.9k
M1
365 other sensor technologies tracked in ui44, ranked by adoption.
27 robots · 1 also use Itof Depth Sensor
13 robots
12 robots
12 robots
9 robots
8 robots
7 robots
6 robots
Browse all Sensor components or use the robot comparison tool to evaluate how different sensor configurations perform across specific robot models.
The robotics sensor market is one of the fastest-growing segments in the broader sensor industry. As robots move from controlled industrial environments into unstructured home and commercial spaces, the demands on sensor technology increase dramatically.
Multi-modal sensing
Robots combine multiple sensor types (vision, depth, tactile, inertial) to build comprehensive environmental understanding
Miniaturization
Sensors that once occupied entire circuit boards now fit into fingernail-sized packages, making advanced sensing affordable for consumer robots
Edge AI integration
AI processing directly in sensor modules enables faster perception without cloud latency
Industry Adoption Snapshot
Itof Depth Sensor is adopted by 1 robot from 1 manufacturer in the ui44 database, providing a data-driven view of real-world deployment patterns.
Platform compatibility, voice integration, and AI capabilities across robots with Itof Depth Sensor.
The long-form buyer, maintenance, and troubleshooting material kept available without forcing it into the main scan path.
If Itof Depth Sensor is an important factor in your robot selection, here are key considerations to guide your decision.
Coverage area
Does the sensor array provide 360° awareness or only forward-facing detection?
Range
How far can the robot sense obstacles or objects?
Resolution
How detailed is the sensor data for recognition tasks?
Redundancy
Are there backup sensors if one fails?
Serviceability
Are sensors user-serviceable or require manufacturer maintenance?
Currently, none of the robots with Itof Depth Sensor are listed as directly available for purchase. They are in pre-order status. Monitor the individual robot pages for updates.
A component is only as good as its integration. Check how the manufacturer has incorporated Itof Depth Sensor into the overall robot design and software stack.
Review what other sensor technologies are paired with Itof Depth Sensor in each robot — see the related components section.
Make sure the robot's category matches your use case. Itof Depth Sensor serves different roles in different robot types.
Consider the manufacturer's reputation for software updates, support, and component reliability.
Compare Before You Buy
Use the ui44 comparison tool to evaluate robots with Itof Depth Sensor side by side.
Sensors are among the most maintenance-sensitive components in a robot. Their performance can degrade over time due to physical wear, environmental exposure, and calibration drift. Understanding the maintenance profile of a robot's sensor suite helps set realistic expectations for long-term ownership and operation.
Sensor durability varies significantly by type. Solid-state sensors like IMUs and accelerometers have no moving parts and typically last the lifetime of the robot.
Regular sensor maintenance primarily involves keeping optical surfaces clean. Camera lenses, LiDAR windows, and infrared emitters should be wiped with a soft, lint-free cloth to remove dust and fingerprints.
When evaluating sensor technology for long-term value, consider the manufacturer's track record for software updates that improve sensor utilization. A robot with good sensors and ongoing software development can actually improve its performance over time as algorithms are refined.
For the 1 robot in the ui44 database using Itof Depth Sensor, we recommend checking the individual robot pages for manufacturer-specific maintenance guidance and support documentation. Each manufacturer has different support policies, update frequencies, and warranty terms that affect the long-term ownership experience of their sensor technologies.
Sensor-related issues are among the most common problems home robot owners encounter. Many sensor issues can be resolved with simple maintenance or environmental adjustments, while others may indicate hardware problems requiring manufacturer support. Understanding common failure modes helps you diagnose and resolve issues quickly, minimizing robot downtime.
Likely Causes
Resolution
Likely Causes
Resolution
Likely Causes
Resolution
For model-specific troubleshooting, visit the individual robot pages for the 1 robot using Itof Depth Sensor. Each manufacturer provides model-specific support resources and diagnostic tools for their sensor implementations.
What to do next
This page should hand you off to the next useful comparison step, not strand you at the bottom of a long detail route.
Widen the layer
Open the full sensor workbench when Itof Depth Sensor is only one part of the decision and you need the broader market map.
Side-by-side check
Move from label-level research into direct robot comparison once you know which profiles are documented well enough to trust.
Adjacent signal
This is the most common neighboring component on robots that already use Itof Depth Sensor, so it is the fastest next branch if you need stack context.