Robot hardware guide

Robot Sensors: Cameras, LiDAR, Force Sensors and Encoders

Sensors give robots the ability to see, measure, touch, localize and react. The right choice depends on the robot body, environment, budget, safety requirement and software stack. A sensor that works on a lab bench can fail inside a dusty warehouse, a welding cell, a sunny sidewalk or a vibrating mobile base.

What are robot sensors?

Robot sensors turn physical motion into measurable data.

A robot sensor measures part of the real world or the robot body. Cameras measure visual scenes. LiDAR measures distance. Encoders measure joint or wheel position. Force torque sensors measure contact. IMUs measure motion. Safety scanners measure protected zones. The value comes from how the signal is mounted, calibrated, fused and acted on by software.

For a real robot, sensor choice is a tradeoff between range, noise, speed, compute, certification, cost and failure recovery. A humanoid hand, an AMR and an industrial arm can all use cameras and force sensing, but the mounting, bandwidth and control loop are completely different.

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Main types of robot sensors

A practical map of what each sensor measures

The table separates each sensor family by measurement type, mounting point, robot value, use case, product examples, limits and buying checks.

Cameras

Robot vision sensors

Vision sensors give robots color, shape, motion, texture and heat cues. They usually sit on the head, mast, wrist, gripper, mobile base or inspection payload. The hard part is not only camera selection. It is lighting, calibration, lens choice, synchronization and software that can tell uncertainty from a real object.

Robot vision sensors sensor comparison
Sensor	What it measures	Where it sits	Why it matters	Typical use case	Example products	Limits	What to check
RGB cameras	Visible color and texture.	Head, mast, wrist, cell fixture or gripper.	Supports labels, human presence detection, teleoperation views, object detection and visual inspection.	A warehouse robot can use RGB vision to read package markings while another depth sensor estimates shape.	Basler ace 2 industrial cameras, USB machine vision cameras, embedded RGB modules.	Lighting changes, glare, privacy, motion blur, lens contamination and rolling shutter artifacts.	Check shutter type, lens mount, frame rate, SDK support, trigger input, cable length and lighting plan.
Stereo cameras	Depth from two camera views.	Robot head, mobile robot mast, drone front plate or outdoor inspection payload.	They can provide depth without projecting light and can work where active depth cameras struggle.	A delivery robot can estimate curb geometry and obstacle distance with a stereo baseline and calibrated lenses.	Stereolabs ZED 2i, ZED X, Intel RealSense stereo depth cameras.	Textureless walls, bad calibration, vibration, lens mismatch and low light reduce depth quality.	Check baseline, IP rating, ROS support, synchronization, global shutter needs and compute load.
Depth cameras	Distance maps through stereo, structured light or time of flight.	Robot wrist, picking cell, humanoid head, AMR mast or lab bench.	Depth makes grasp planning, bin picking, obstacle detection and scene geometry easier.	A robot arm can combine depth and RGB to segment an object before a gripper closes.	Intel RealSense D455, Luxonis OAK-D Lite, time of flight modules.	Sunlight, transparent objects, reflective parts, black materials and multipath can break measurements.	Check range, minimum distance, depth noise, USB bandwidth, power, ROS driver maturity and enclosure.
Global shutter cameras	Images without line-by-line rolling distortion.	Fast robot wrists, moving conveyors, drone payloads and inspection cells.	Global shutter helps when the robot or target moves quickly.	A high speed inspection robot can avoid distorted images when tracking moving parts on a conveyor.	Basler ace 2 global shutter cameras with Sony Pregius sensors.	Cost, lens choice and lighting still matter. Global shutter does not solve bad exposure.	Check exposure time, trigger latency, lens, lighting, frame rate at full resolution and SDK licensing.
Event cameras	Pixel brightness changes instead of full frames.	Fast drones, robot tracking rigs, high speed manipulation labs and industrial vibration monitoring.	They can react to fast motion with low latency and high dynamic range.	A research robot can track fast moving objects where a normal camera blurs or misses the event.	Prophesee EVK4 HD with Sony IMX636, CenturyArks SilkyEvCam.	They require specialized algorithms and are harder to explain to non-vision teams.	Check SDK, event format, ROS integration, calibration tools, lighting and whether the task truly needs event data.
Thermal cameras	Long wave infrared heat patterns.	Inspection robots, drones, firefighting robots, energy inspection payloads and security robots.	They see heat in darkness, smoke or low visible light where RGB cameras fail.	A plant inspection robot can detect overheating motors or electrical cabinets without touching them.	Teledyne FLIR Boson, FLIR Lepton modules.	Lower detail than RGB, export rules, thermal reflections, calibration drift and higher cost.	Check resolution, radiometric output, lens, export restrictions, frame rate, enclosure and thermal calibration.

Abstract local illustration of LiDAR beams around a mobile robot

Laser range sensing

LiDAR and mapping sensors

LiDAR measures distance with laser scanning. A 2D LiDAR can be enough for indoor AMR navigation, while 3D LiDAR is useful for uneven terrain, mapping, outdoor perception and inspection. Safety LiDAR is different because it is certified for protective fields and machine safety.

LiDAR and mapping sensors sensor comparison
Sensor	What it measures	Where it sits	Why it matters	Typical use case	Example products	Limits	What to check
2D LiDAR	Planar distance around the robot.	Low front bumper, AMR mast, AGV side panel or indoor robot base.	Provides reliable obstacle geometry for indoor navigation and local mapping.	An AMR can use a 2D LiDAR for SLAM and obstacle avoidance in a warehouse aisle.	RPLIDAR A1M8, Hokuyo UST-10LX, SICK TiM series.	It sees one slice of the world and can miss table edges, forks, cables and objects above or below the scan plane.	Check range, angular resolution, sunlight tolerance, scan rate, interface, ROS driver and mounting height.
3D LiDAR	Point clouds across vertical and horizontal fields of view.	Vehicle roof, robot dog back, outdoor robot mast or mapping payload.	Maps slopes, racks, pallets, people and outdoor geometry for robot navigation.	A quadruped inspection robot can map stairs, pipes and platforms with 3D point clouds.	Ouster OS0, Hesai lidar sensors, Velodyne legacy units.	Cost, power draw, data rate, rain, dust, glass, reflective surfaces and multi-sensor calibration.	Check vertical FOV, range on low reflectivity targets, point rate, IP rating, time sync and data bandwidth.
Safety LiDAR	Certified protective and warning zones.	Front and rear of AGVs, AMRs and industrial mobile platforms.	It is used to slow or stop machines when people enter a defined hazard zone.	A mobile platform can reduce speed in a warning zone and stop in a protective zone near workers.	SICK nanoScan3, Pilz PSENscan.	Safety validation, dirty optics, reflective objects, blind zones and wrong zone configuration.	Check safety rating, protective field range, response time, zone sets, wiring, diagnostics and local safety standards.
Mapping LiDAR	Geometry for SLAM, localization and 3D maps.	Survey payload, mobile mapping rig, outdoor robot or autonomous vehicle test platform.	Provides geometric structure for maps, localization and digital twins.	A facility mapping robot can combine LiDAR, IMU and wheel odometry to build a map before fleet deployment.	Ouster OS0, Hesai XT series, Hokuyo industrial scanners.	Featureless corridors, glass, dust and poor time synchronization can degrade the map.	Check timestamping, ROS 2 support, calibration targets, mounting vibration and processing pipeline.

Abstract local illustration of a robot wrist force torque sensor and tactile fingertip

Touch and contact

Force, torque and tactile sensors

Force, torque and tactile sensors tell the robot what contact feels like. They matter when a robot must insert a part, sand a surface, close a gripper gently, recover from slip or learn contact rich manipulation. This is one of the hardest sensor families because the signal depends on mechanics, calibration and control loops.

Force, torque and tactile sensors sensor comparison
Sensor	What it measures	Where it sits	Why it matters	Typical use case	Example products	Limits	What to check
Wrist force torque sensors	Forces and torques along six axes at the robot wrist.	Between the robot flange and the end effector.	Enables force control, assembly, deburring, sanding, insertion and safer contact detection.	A cobot can keep a near constant contact force while polishing a curved part.	ATI Mini45, Bota MiniONE, OnRobot HEX, Robotiq FT 300-S.	Payload overload, thermal drift, cable strain, tool mass compensation and robot controller integration.	Check force range, overload rating, interface, tool flange, sampling rate, ROS support and calibration workflow.
Joint torque sensing	Torque inside or around a robot joint.	Inside the actuator module, gearbox output or elastic element.	Estimates contact and regulates compliant motion for legged robots, cobots and humanoids.	A legged robot can adjust foot contact when torque feedback shows unexpected ground reaction.	Torque sensors in robot joints, series elastic actuator sensing, motor current based estimates.	Gear friction, backlash, temperature and motor current estimates can hide true contact forces.	Check sensor location, bandwidth, calibration method, overload behavior and controller access.
Tactile fingertip sensors	Contact geometry, pressure, local deformation or slip cues.	Fingertips, gripper pads, robot hand phalanges or soft skins.	Improves grasp stability, dexterous manipulation and Physical AI data collection.	A robot hand can detect that a smooth object is slipping before it falls.	GelSight DIGIT, GelSight Mini, XELA uSkin, Shadow Robot tactile sensors.	Wear, gel replacement, wiring, calibration, data volume and fragile contact surfaces.	Check mounting space, contact material, replacement parts, sampling rate, APIs and whether the hand can use the signal.
Gripper force sensing	Grip force or contact pressure at the fingers.	Inside gripper fingers, fingertips or jaw mechanism.	Reduces crushing risk and improves repeatability with uncertain objects.	A packaging robot can grip soft items with lower force when contact is detected early.	Force sensitive resistors, strain gauges, load cells, gripper integrated sensing.	Local contact only, drift, hysteresis and poor correlation between finger force and object stability.	Check resolution, overload, sensor placement, cable routing and how the gripper controller exposes the data.

Abstract local illustration of IMU motion axes on a robot body

Motion state

IMU, balance and motion sensors

IMUs measure acceleration and angular velocity. Some units include magnetometers, barometers or onboard fusion. Drones, humanoids and quadrupeds depend on motion sensing, but IMU data drifts and must be fused with encoders, cameras, LiDAR, GNSS or contact sensors.

IMU, balance and motion sensors sensor comparison
Sensor	What it measures	Where it sits	Why it matters	Typical use case	Example products	Limits	What to check
Accelerometers	Linear acceleration and gravity direction.	Main body, head, limb module, drone flight controller or payload.	Estimates tilt, impacts, vibration and movement.	A humanoid controller can detect a body acceleration spike during a stumble.	Bosch Sensortec MEMS sensors, TDK InvenSense IMUs.	Vibration, bias, shock saturation and gravity separation during motion.	Check range, noise density, bandwidth, bias stability and mounting vibration isolation.
Gyroscopes	Angular velocity.	Robot torso, mobile base, drone autopilot or manipulator payload.	Estimates orientation changes between external sensor updates.	A drone can stabilize attitude using high rate gyro data between camera frames.	TDK InvenSense ICM series, VectorNav VN-100, MicroStrain 3DM-GX5.	Bias drift, temperature effects and integration error over time.	Check bias stability, temperature calibration, update rate, time sync and interface.
Magnetometers	Magnetic field direction.	Inside IMU packages or navigation modules.	They can support heading estimation in clean magnetic environments.	A small field robot may use magnetometer heading when GNSS and visual landmarks are weak.	9 axis IMUs such as Bosch BNO055 and TDK InvenSense ICM-20948.	Motors, steel structures, current loops and indoor machinery can corrupt heading.	Check calibration tools, magnetic environment and whether the robot can operate without magnetometer trust.
Industrial IMU and AHRS modules	Acceleration, angular rate and orientation with stronger calibration.	Outdoor mobile robots, autonomous vehicles, drones and mapping payloads.	They reduce drift compared with low cost chips and provide cleaner data for navigation.	A mapping robot can fuse IMU with LiDAR for smoother localization through vibration.	VectorNav VN-100, LORD MicroStrain 3DM-GX5.	Cost, setup complexity and calibration assumptions.	Check calibration grade, data protocol, ROS support, GNSS needs, shock rating and connector type.

Abstract local illustration of short range distance sensors around a robot gripper

Near field detection

Proximity and distance sensors

Proximity sensors are simple, cheap and often more reliable than complex perception for one narrow job. They can tell a gripper that a part is present, a robot cell that a fixture is loaded or a small robot that an obstacle is close. Their weakness is that every technology has blind spots.

Proximity and distance sensors sensor comparison
Sensor	What it measures	Where it sits	Why it matters	Typical use case	Example products	Limits	What to check
Time of flight sensors	Short range distance using light time of flight.	Small grippers, mobile robot edges, embedded devices and human interface modules.	They are compact and useful for simple ranging where a full depth camera is too large.	A small mobile robot can detect a nearby wall before the bumper touches it.	ST VL53L1X, Adafruit VL53L1X breakout.	Sunlight, glass, reflectivity, range limits and small field of view.	Check range, field of view, cover glass, I2C address conflicts and ambient light conditions.
Ultrasonic sensors	Distance from sound reflections.	Low cost robots, bins, tanks, parking style obstacle sensing and mobile bases.	They are cheap and can work with materials that confuse optical sensors.	A service robot can use ultrasonic modules as slow speed backup obstacle detection.	MaxBotix ultrasonic modules.	Wide beam, soft materials, air temperature, cross talk and low angular resolution.	Check beam pattern, update rate, minimum range, enclosure, temperature compensation and mounting angle.
Infrared proximity sensors	Nearby objects through reflected infrared light.	Grippers, small robots, conveyors and edge detection modules.	They are simple and low cost for close detection.	A line robot can detect whether a small part is present before a pick attempt.	IR reflective sensors, photoelectric sensors from Omron, Keyence and Banner.	Black surfaces, sunlight, transparent objects and target reflectivity.	Check target material, sensing mode, range, cable type, output type and background suppression.
Capacitive and inductive sensors	Presence of materials through electric or electromagnetic fields.	Factory cells, grippers, fixtures, mobile base bumpers and part feeders.	Inductive sensors are strong for metal detection. Capacitive sensors can detect some nonmetallic materials.	An industrial robot cell can verify that a metal workpiece is seated before a welding cycle.	ifm, Omron, Keyence and Banner proximity sensors.	Very short range, material dependency, mounting sensitivity and false triggers from nearby metal.	Check sensing distance, target material, shielded or unshielded body, IP rating and electrical output.

Abstract local illustration of an encoder disk inside a robot joint

Position feedback

Encoders and joint position sensors

Encoders tell the robot where a shaft, wheel or joint is. A robot arm without good position feedback cannot hold accurate paths. A mobile base without encoder feedback cannot estimate wheel motion. Encoders look simple, but mounting, alignment, cable noise and absolute reference matter more than many beginners expect.

Encoders and joint position sensors sensor comparison
Sensor	What it measures	Where it sits	Why it matters	Typical use case	Example products	Limits	What to check
Absolute encoders	Position without needing a homing move after power on.	Robot joints, precision rotary stages, CNC axes and high value actuators.	They reduce startup risk and preserve position after power cycles.	A robot arm joint can know its angle immediately after the controller boots.	Renishaw RESOLUTE, Heidenhain absolute rotary encoders.	Cost, installation tolerance, contamination, protocol compatibility and mechanical alignment.	Check protocol, resolution, accuracy, mounting tolerance, environmental rating and controller support.
Incremental encoders	Relative motion through pulses and index marks.	Motors, wheels, conveyors, mobile bases and lower cost robot joints.	They are affordable and common for speed and position feedback.	A differential drive robot can estimate wheel motion with two incremental encoders.	Same Sky AMT102-V, Broadcom reflective optical encoder chips.	Need homing or index reference, missed pulses and electrical noise.	Check counts per revolution, shaft fit, index channel, output type, cable shielding and controller input.
Magnetic encoders	Shaft angle using a magnet and magnetic sensing IC.	Compact joints, hobby actuators, grippers and mobile robot wheels.	They are compact and tolerate dust better than many optical encoders.	A compact gripper can use magnetic angle feedback where optical alignment is difficult.	AMS magnetic encoder ICs, integrated magnetic motor encoders.	Magnet alignment, stray magnetic fields, temperature and lower precision than high end optical systems.	Check magnet spacing, resolution, absolute or incremental output, temperature and nearby motors.
Optical encoders	Position through light patterns on a code disk or scale.	Industrial arms, precision stages, motors and machine automation.	They can provide high resolution and repeatable feedback.	A precision robot arm axis can use optical feedback for accurate path tracking.	Renishaw optical encoder systems, Heidenhain rotary encoders, Broadcom optical encoder devices.	Dust, oil, alignment, shock and optical contamination.	Check sealing, mounting method, readhead gap, output protocol and maintenance access.

Abstract local illustration of robot safety zones, light curtains and emergency stop systems

Machine safety

Safety sensors for industrial robots

Safety sensors are not ordinary perception sensors. They protect people and machines under defined standards, wiring and validated logic. A vision model that detects humans is not a replacement for a certified safety circuit in an industrial cell.

Safety sensors for industrial robots sensor comparison
Sensor	What it measures	Where it sits	Why it matters	Typical use case	Example products	Limits	What to check
Safety scanners	Protected zones around moving machines.	AGVs, AMRs, robot cell entrances and industrial mobile bases.	They can slow or stop machines when a person enters a hazardous area.	An AGV can switch between warning and stop zones depending on speed and aisle geometry.	SICK nanoScan3, Pilz PSENscan.	Certification scope, dirty optics, reflective surfaces, wrong field setup and blind corners.	Check safety category, protective range, response time, zone switching, diagnostics and local compliance.
Safety light curtains	Interrupted beams across a machine access point.	Robot cells, presses, conveyors and loading stations.	They create a protective screen without a physical door.	A robot cell can stop when an operator reaches through a loading opening.	Omron F3SG-SR, Banner safety light curtains, Keyence safety curtains.	They only cover the protected plane. They need correct muting, reset logic and risk assessment.	Check resolution, height, range, safety rating, muting needs, alignment and controller wiring.
Emergency stop and enabling systems	Manual safety commands rather than environmental data.	Teach pendants, cell panels, robot bases and remote control stations.	They give humans a direct stop or enabling control during setup and abnormal operation.	A technician can use an enabling switch while jogging a robot at reduced speed.	Pilz, Omron, SICK and Banner safety control hardware.	Incorrect wiring, bypassed circuits and confusing reset procedures.	Check safety relay compatibility, stop category, dual channel wiring, diagnostics and maintenance process.
Collision detection sensors	Unexpected contact through torque, force, current or dedicated collision modules.	Robot joints, wrists, end effectors and collaborative robot controllers.	They support safer physical interaction and damage reduction, but they do not replace a full safety assessment.	A cobot can stop when measured joint torque exceeds an allowed contact threshold.	Joint torque sensing, force torque sensors and safety rated robot controller functions.	Pinch points, payload estimation errors, tool mass and response time.	Check whether the function is safety rated, how payload is configured and how stops are validated.

Abstract local illustration of tactile skin patches on a robot hand

Robot skin

Tactile sensors and robot skin

Tactile skin is still an emerging field. It can provide local pressure, shear, contact location or high resolution surface geometry. The promise is large for humanoid hands and Physical AI, but integration is hard because robot skin needs wiring, protection, calibration, replacement parts and software that can use dense touch data.

Tactile sensors and robot skin sensor comparison
Sensor	What it measures	Where it sits	Why it matters	Typical use case	Example products	Limits	What to check
Fingertip tactile sensors	Contact patches, geometry, deformation or pressure at the fingertip.	Robot hands and small gripper fingertips.	Detects slip, corrects grasp errors and improves object handling.	A research hand can collect touch data while turning a small object inside the fingers.	GelSight DIGIT, GelSight Mini, research tactile fingertips.	Wear, gel replacement, lighting inside the sensor and contact surface damage.	Check sensor size, mounting, replacement gels, SDK, cable strain relief and data rate.
Pressure arrays	Distributed pressure over a patch.	Gripper pads, palms, fingers, robot skins and collaborative tooling.	Maps where contact happens instead of reporting only total force.	A gripper can detect whether the object is centered or only touching one edge.	XELA uSkin and custom pressure array integrations.	Durability, wiring density, calibration drift and resolution limits.	Check taxel count, update rate, force range, covering material, cleaning and replacement process.
Soft robotics sensors	Stretch, pressure, bend or deformation in compliant structures.	Soft grippers, inflatable actuators, wearable robots and compliant robot skins.	Rigid sensors often fail when the robot body itself bends or deforms.	A soft gripper can estimate finger bending as it wraps around a fragile object.	Piezoresistive, capacitive, optical and fluidic soft sensors.	Hysteresis, drift, fragile conductors and hard calibration.	Check material compatibility, bending cycles, sealing, calibration and repair method.
Humanoid hand sensing	Contact, force, slip and finger state across a hand.	Fingertips, phalanges, palm and wrist.	Humanoid manipulation needs more than cameras because many errors happen after contact.	A humanoid hand can adjust grip after detecting that the object has shifted during lift.	Shadow Robot tactile sensors, XELA skin integrations, GelSight based research sensors.	Cable routing, replacement cost, skin durability, data volume and controller access.	Check whether the hand exposes tactile data, how sensors are replaced and if software can learn from the signals.

Robot sensor price examples

Public prices, quote only products and what the numbers mean

Prices change often and should be checked with the manufacturer or distributor before purchase. Distributor prices are not manufacturer MSRPs. Configuration, taxes, calibration, lenses, cables, brackets, safety controllers and software can change the real project cost.

Robot sensor price comparison
Sensor type	Example product	Typical use	Approximate public price	Currency	Source	Last checked	Notes
Depth camera	Intel RealSense D455	Robot wrist vision, AMR perception, lab 3D sensing	$419	USD	RealSenseAI camera comparison page	2026-07-01	Public store style price. Intel product page may not load pricing in every region.
AI depth camera	Luxonis OAK-D Lite	Embedded RGB plus stereo depth with onboard vision processing	$169	USD	Luxonis official store	2026-07-01	Public unit price from manufacturer store.
Stereo camera	Stereolabs ZED 2i	Stereo vision, robot spatial perception, outdoor and indoor testing	$499	USD	Stereolabs official store	2026-07-01	Polarizer option listed separately by Stereolabs.
Thermal camera module	FLIR Boson 320	Thermal inspection, drones, rescue robots, industrial monitoring	from $1,539	USD	GroupGets FLIR Boson distributor listing	2026-07-01	Distributor price, not a manufacturer MSRP. Export restrictions may apply.
Event camera	Prophesee EVK4 HD	High speed motion, event based tracking, robotics research	request quote	n/a	Prophesee EVK4 HD product page	2026-07-01	Official page describes the evaluation kit but does not show a public price.
Low cost 2D LiDAR	RPLIDAR A1M8	Education, prototyping, indoor SLAM experiments	€108.90	EUR	RobotShop EU listing	2026-07-01	Distributor sale price, tax included on EU listing.
Industrial 2D LiDAR	Hokuyo UST-10LX	Indoor mobile robots, obstacle detection, navigation	€1,878.00	EUR	Generation Robots listing	2026-07-01	Distributor price, VAT included on the listing.
Industrial 2D LiDAR	SICK TiM571-2050101	Outdoor detection, industrial monitoring, mobile robots	€2,439.31 incl VAT	EUR	RS Netherlands listing	2026-07-01	Distributor price. Listed excluding VAT at €2,015.96.
3D LiDAR	Ouster OS0 Rev 7 128	3D perception, mapping, robotics, warehouse automation	€17,690	EUR	Reichelt distributor listing	2026-07-01	Distributor price for one OS0 Rev 7 128 configuration. Other channels and configurations differ.
6 axis force torque sensor	Bota Systems MiniONE Gen A	Compact wrist force sensing, research, manipulation	CHF 3,045.00	CHF	Bota Systems official store	2026-07-01	Manufacturer online store price for MiniONE Gen A variant.
6 axis force torque sensor	ATI Mini45	Industrial force control, assembly, testing, automation	request quote	n/a	ATI product page	2026-07-01	Official page describes the sensor. Public manufacturer price was not listed.
6 axis force torque kit	Robotiq FT 300-S OMRON kit	Cobot force control and contact rich manipulation	$6,992.28	USD	RS United States listing	2026-07-01	Distributor price for a specific kit, not a generic FT 300-S price.
Consumer MEMS IMU chip	Bosch BNO055	Low cost orientation experiments and embedded prototypes	€11.25	EUR	DigiKey listing	2026-07-01	Bosch marks BNO055 as not recommended for new designs.
Industrial IMU development kit	VectorNav VN-100 Rugged Development Kit	Navigation development, AHRS testing, mapping payloads	$1,200 to $1,525	USD	NavTechGPS listing	2026-07-01	Distributor listing for a development kit with calibration options.
Time of flight distance sensor	Adafruit VL53L1X breakout	Small robot distance checks, gripper sensing, prototypes	$14.95	USD	Adafruit listing	2026-07-01	Breakout board price, not raw ST component price.
Ultrasonic sensor	MaxBotix MB1202	Short range obstacle detection and distance sensing	$44.95	USD	RobotShop listing	2026-07-01	Distributor price. Stock and tariff notes can change.
Incremental encoder	Same Sky AMT102-V	Motor feedback, mobile bases, lab actuators	$34.23	USD	Same Sky product page	2026-07-01	Manufacturer web price for quantity one.
Absolute encoder	Renishaw RESOLUTE	High precision motion axes, robot joints, metrology systems	request quote	n/a	Renishaw product page	2026-07-01	Official page describes performance. Public price depends on ring, readhead and interface.
Safety laser scanner	SICK nanoScan3 NANS3-AAAZ30AN1	AGV and AMR protective fields	$3,517.99	USD	Lesman distributor listing	2026-07-01	Distributor price for one part number. Validate safety design with the manufacturer.
Safety light curtain	Omron F3SG-4SRA0560-14	Robot cell access protection and machine guarding	$2,502.36	USD	DigiKey product highlight	2026-07-01	Example part number and height. Full systems need correct emitter, receiver, wiring and safety logic.
Tactile fingertip sensor	GelSight DIGIT	Robot hand research, in hand manipulation, tactile datasets	$355.00	USD	GelSight official store	2026-07-01	Official store price. Lead time shown separately by GelSight.
Tactile surface sensor	GelSight Mini	Surface texture, tactile inspection, robotics research	$510	USD	GelSight Mini product page	2026-07-01	Official public price. Replacement gels and cables are separate.
Robot skin	XELA uSkin	Tactile patches for fingers, palms and robot surfaces	request quote	n/a	XELA Robotics product inquiry page	2026-07-01	XELA asks buyers to request pricing and specifications for the application.

How to choose a robot sensor

Start with the task, not the catalog.

Define the task before the sensor: mapping, grasping, safety, inspection, balance, localization or quality control.
Measure the real environment: sunlight, dust, water, vibration, reflective parts, transparent objects, metal frames, people and cleaning process.
Check integration early: power, connector, cable bend radius, ROS 2 driver, SDK, time synchronization and calibration tools.
Budget for mechanical design: brackets, lenses, protective windows, lighting, vibration isolation and spare parts often cost more than expected.
Do not treat a perception demo as a safety system. Certified safety sensors and validated safety logic are separate engineering work.
Plan failure detection: dirty lens, loose cable, dead pixels, encoder dropout, IMU drift, LiDAR rain noise, tactile gel wear and thermal calibration drift.

Limits and failure points

Every sensor has a failure mode.

Cameras

Fail with glare, low light, rolling shutter, lens dirt, vibration, privacy constraints and poor calibration.

Depth cameras

Struggle with sunlight, transparent objects, black surfaces, reflective parts and multipath reflections.

LiDAR

Can degrade with glass, rain, fog, dust, reflective tape, sparse geometry and bad timestamping.

Force torque sensors

Can drift with temperature, cable strain, overload, wrong tool mass and poor zeroing.

IMUs

Drift over time and react badly to vibration, magnetic interference, shock and weak temperature calibration.

Encoders

Fail through missed counts, cable noise, contamination, misalignment and homing errors.

Safety sensors

Fail as a system when zones, response time, wiring, reset logic or risk assessment are wrong.

Tactile sensors

Wear mechanically and can be hard to protect from dirt, sharp objects, cable fatigue and calibration drift.

Internal reading path

Connect sensors to the rest of robot architecture

Sensors only become useful when the hardware, controller, perception stack and fleet software can use the signal. These related guides connect the same route structure to the TechniaHQRobot robotics knowledge base.

Robot components