The Tool Desk
Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Autonomous mobile robots (AMRs) do not rely on one universal sensor. They combine environmental sensors—such as LiDAR, cameras and ultrasonic devices—with motion sensors, including wheel encoders and inertial measurement units (IMUs). Navigation software fuses those inputs to perceive obstacles, build or use maps, estimate the robot’s position and choose safe paths. Separate safety-rated scanners, controllers and protective circuits may be required for safeguarding people; an ordinary navigation sensor is not automatically a safety device.
What an AMR sensor system has to accomplish
An AMR sensor suite supports several related but distinct jobs:
- Perception: observing walls, racks, people, vehicles, pallets and other objects.
- Mapping: representing the facility or updating a map as the robot moves.
- Localization: estimating where the robot is within that map or relative to installed references.
- Motion estimation: measuring wheel movement and inertial changes between external observations.
- Navigation and obstacle response: selecting routes, slowing, stopping or steering around detected objects.
- Protective safety: preventing hazardous motion through safety-rated sensing and control architecture, where required.
The same physical device can contribute to more than one software function, but its safety role depends on its certification, configuration and integration—not simply on whether it uses laser light, cameras or sonar.
Core sensor technologies
LiDAR and laser scanners
LiDAR emits laser light and analyzes reflected returns to measure distance. AMRs use these measurements for two-dimensional or three-dimensional environmental perception, laser-based simultaneous localization and mapping (LiDAR SLAM), map matching and obstacle detection. Qualcomm’s July 2022 robotics overview describes LiDAR SLAM alongside inertial data; manufacturer systems from ABB, KUKA and OMRON describe laser-based mapping or navigation in specific products.
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A navigation LiDAR and a safety laser scanner should not be treated as interchangeable. Their scan coverage, response behavior, diagnostics and certification can differ substantially. A scanner positioned near the floor may miss elevated or overhanging hazards, while a single horizontal scan plane may not describe an entire load.
Cameras and depth sensors
AMRs may use ordinary cameras, stereo cameras, structured-light cameras or time-of-flight cameras. A camera plus IMU can support visual SLAM, while depth-capable systems add distance information for scene understanding. DJI’s Guidance features describe stereo-derived depth imagery together with image and IMU outputs. KUKA gives a practical example of optional 3D cameras detecting elevated objects such as forklift forks, pallets and overhanging loads.
Camera performance depends on the sensor design, illumination, scene texture and software. The cited material does not establish a universal accuracy or range ranking against LiDAR, so selection should follow the required geometry and operating conditions rather than a blanket claim that one technology is superior.
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Ultrasonic or sonar sensing
Ultrasonic sensors emit sound and interpret echoes to estimate nearby objects. Qualcomm lists sonar as an AMR sensing category, and ifm describes ultrasonic echoes for mobile-robot object detection. This makes an ultrasonic distance sensor module a plausible prototype component for short-range detection, provided its voltage, interface, range, mounting and environmental requirements fit the robot.
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A generic ultrasonic module must not be presented as a safety-rated protective device. Whether ultrasonic sensing can participate in a protective function depends on the complete certified system and applicable requirements.
Wheel encoders
Encoders record wheel rotation. The robot’s software converts those counts into odometry—an estimate of distance and heading traveled. Encoders provide continuous motion information even when an external view is briefly unavailable, but wheel slip, uneven floors, turns and mechanical tolerances cause accumulated error. Odometry alone therefore should not be described as globally accurate positioning.
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Inertial measurement units
An IMU measures motion-related quantities such as acceleration and angular rate. Combined with camera, LiDAR and wheel-encoder data, it helps estimate short-term movement and stabilize tracking. Qualcomm specifically describes combining inertial and wheel-encoder information with camera motion data to improve motion estimates. IMU drift means it is normally fused with other observations rather than used as the sole localization source.
Other ways AMRs establish location
Natural-feature mapping
LiDAR SLAM and visual SLAM use observed features to build or match a map while estimating the robot’s pose. Qualcomm notes that LiDAR SLAM can require more computation than visual SLAM in the comparison presented in its July 2022 article; that observation is not a universal benchmark for every implementation.
Reflectors and other installed references
ABB describes robots detecting strategically placed reflectors with a laser. These known references can supplement or replace some natural-feature localization in facilities designed for them.
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Floor QR codes
ABB also describes camera-based reading of QR codes on the floor to provide location information and instructions. This infrastructure-assisted method can make designated points explicit, but it requires accurate code placement, maintenance and reliable camera visibility.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How sensor data works together
- Observe: LiDAR, cameras, depth sensors and ultrasonic devices produce measurements of the surrounding scene.
- Estimate motion: wheel encoders and the IMU report how the chassis appears to have moved since the previous update.
- Fuse inputs: navigation software combines external observations with odometry and inertial data to reduce uncertainty and maintain a pose estimate.
- Build or match a map: SLAM or a previously created map relates observations to facility coordinates; reflectors or floor QR codes can provide additional references.
- Plan and react: the planner chooses a route and local avoidance behavior, then commands speed, steering or a stop as new measurements arrive.
- Handle protection separately: safety scanners, safety controllers or safety PLCs and other protective measures must perform their defined safety functions independently of assumptions about ordinary navigation sensing.
Choosing a sensor approach for a deployment
| Decision axis | Questions to answer | Examples from the cited systems |
|---|---|---|
| Sensing role | Do you need ranging, visual context, depth, wheel motion, inertial motion or a protective safety function? | LiDAR for ranging; cameras for visual/depth perception; encoders and IMUs for motion. |
| Coverage and geometry | Are low, elevated, overhanging or partially occluded objects significant? | KUKA’s 3D-camera example addresses elevated forks and loads; a low laser scan may not cover them. |
| Localization method | Will the robot use natural-feature SLAM or installed references? | LiDAR/visual SLAM, ABB reflectors and floor QR codes are different deployment patterns. |
| Environment | What lighting, dust, smoke, floor, weather and sunlight conditions apply? | OMRON’s LD-series documentation specifies indoor use and warns that direct sunlight can cause false positives for its safety laser; this is product-specific, not a universal laser property. |
| Integration | Can the compute platform run the selected perception and fusion workload, and can the sensors be calibrated and maintained? | Qualcomm notes a computational difference between the SLAM approaches it discusses; requirements vary by implementation. |
| Safety and compliance | Which protective architecture and jurisdictional requirements apply? | ABB identifies safety equipment and standards for its systems. AMRA-201:2026, published July 26, 2026, specifies general requirements and test methods for mobile robots operating on solid travel surfaces. |
Navigation sensing versus protective safety
Navigation sensors help a robot understand its route and avoid obstacles during normal operation. Protective safety functions are engineered to detect specified hazards, bring motion to a safe state and remain dependable under defined faults. A product page may label a device a “safety scanner,” but the scanner still has to be used with the manufacturer’s safety controller, configuration, mounting and validation requirements.
Before deployment, consult the robot and sensor documentation, the applicable standards and the rules in the operating jurisdiction. Do not infer compliance from the presence of LiDAR, a camera, sonar or an emergency stop alone.
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- Check whether the selected sensor covers the required height and field of view, not just the floor-level path.
- Assess direct sunlight, reflective surfaces, transparent materials, dust, smoke and changing illumination against the manufacturer’s stated limits.
- Provide calibration procedures and verify sensor extrinsics after mechanical changes or impacts.
- Monitor encoder slip, IMU drift and localization confidence rather than assuming a single estimate is always correct.
- Define behavior for occlusion, lost map references, blocked routes and contradictory sensor readings.
- Keep navigation and safety circuits, diagnostics and validation responsibilities explicit in the system design.
What to specify when buying or prototyping
For a prototype, an ultrasonic distance sensor module, wheel encoder, laser distance sensor or 3D camera can be a starting component category. ifm identifies these categories for mobile robotics, and Qualcomm points developers toward its Robotics RB3 Gen 2 Development Kit. Confirm electrical interface, supply voltage, data rate, range, mounting, synchronization, environmental rating and software support before ordering. Generic modules should not be marketed or relied upon as safety-rated equipment, and current stock, compatibility and partner terms require verification with the supplier.
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