Types of sensors in robotics: Complete guide with examples

Sensors in robotics allow machines to understand and react to the world around them. 

Like human senses, robotic sensors gather data about position, distance, pressure, objects, and more, so the robot can move accurately, stay safe, and perform tasks precisely. 

From collaborative robot arms on factory floors to autonomous mobile robots in warehouses, sensors power perception, navigation, and interaction. They’re essential to how robots make decisions in real time, especially in dynamic, unpredictable environments.

What are sensors in robotics?

In robotics, sensors are devices that allow a robot to perceive and interpret its surrounding environment, as well as its own internal state. They form the foundation of robotic awareness and power functions like object detection, position tracking, force measurement, and navigation.

There are two main types of robotic sensors:

1. Internal sensors monitor the robot’s own state. These include position encoders, torque sensors, and temperature monitors that help control motion, stability, and power.
2. External sensors track the outside world. These include vision systems, proximity sensors, and range sensors used to avoid collisions or identify objects.

By turning raw data into usable input, sensors allow robots to work autonomously, collaborate with humans, and adjust to changing tasks.

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Types of sensors

Types of sensors in robotics include motion, proximity, vision, range, force, tactile, and environmental sensors. Each serves a specific role in robot perception and control.

1. Position and motion sensors

Position and motion sensors help robots understand where they are, how they’re oriented, and how fast they’re moving. These sensors form the basis of controlled movement in everything from six-axis arms to autonomous mobile robots.

The two most common types are:

• Encoders, which measure the rotation or linear displacement of joints and motors. They’re essential in robotic arms, where accuracy down to fractions of a millimeter is critical.
• Gyroscopes and accelerometers, which detect angular velocity and acceleration. These support balance, direction, and smooth movement, especially in drones or mobile robots navigating uneven terrain.

Together, these robot sensor types ensure precise motion, enable repeatable operations, and support feedback loops that keep robots stable, efficient, and responsive during tasks.

2. Proximity sensors

Proximity sensors in robotics detect nearby objects without making physical contact. These sensors help robots avoid collisions, stop safely near humans, and perform tasks in dynamic environments.

There are several types commonly used in robotic systems:

• Infrared (IR) sensors detect objects based on reflected infrared light. They’re simple, fast, and useful for short-range detection.
• Ultrasonic sensors emit high-frequency sound waves and measure the echo’s return time to detect distance. These are common in robot vacuums and warehouse AMRs.
• Capacitive sensors detect changes in electric fields and are sensitive enough to spot even soft or non-metallic materials.

Robots rely on these sensors to navigate safely, maintain workspace boundaries, and interact with their surroundings without requiring vision systems. They’re especially critical in collaborative robots and mobile platforms where human interaction is frequent.

3. Vision and camera sensors

Vision and camera sensors give robots the ability to see, recognize, and interpret their environment. These sensors allow robots to identify objects, navigate spaces, and inspect components for defects based on visual data.

There are several sensor types in this category:

• 2D cameras capture standard images for basic tasks like barcode scanning or part identification.
• Depth cameras and stereo vision systems provide spatial awareness by measuring the distance between objects and the robot.
• Computer vision systems, often powered by AI, process camera data to detect shapes, track movement, or verify product quality.

These sensors are widely used in robotic arms, autonomous vehicles, and warehouse cobots that need visual input to perform accurately in fast-changing environments.

4. Force and torque sensors

Force and torque sensors measure how much pressure or twisting force a robot is applying during a task. These sensors help robots handle objects safely, avoid damaging parts, and respond to unexpected resistance.

• Force sensors detect linear pressure or load. They’re placed on robot wrists or grippers to monitor grip strength during assembly or handling.
• Torque sensors measure rotational force at joints or motors. They’re especially useful in robotic arms performing delicate movements like screwdriving or insertion.

These sensors are critical in collaborative robots (cobots), where robots work alongside humans and must adjust force dynamically to prevent injury or product damage. In quality control, they also help detect if a part is misaligned or improperly fitted based on resistance levels during motion.

5. Range sensors

Range sensors in robotics measure the distance between a robot and nearby objects or surfaces. These sensors are vital for safe movement, obstacle avoidance, and environmental mapping in mobile or autonomous robots.

The most common range sensor types include:

• Ultrasonic sensors, which emit sound waves and measure their echo to calculate distance. They’re low-cost and widely used in robot vacuums and service robots.
• Laser rangefinders or LiDAR, which use laser beams to scan surroundings and create 3D spatial maps. These are more precise and commonly found in warehouse AMRs and autonomous vehicles.

Range sensors help robots operate in unstructured environments where object locations constantly change. They support path planning, docking, and real-time navigation without human guidance.

6. Tactile and touch sensors

Tactile and touch sensors allow robots to feel contact, pressure, or texture when interacting with objects or surfaces. These sensors give robots a sense of touch, enabling more natural, human-like manipulation.

Key types include:

• Capacitive touch sensors, which respond to skin contact or finger proximity.
• Pressure pads or force-sensitive resistors, which detect applied force on a surface.
• Artificial skin or tactile arrays, which cover robotic fingers or palms to detect distributed contact points and surface texture.

These sensors are essential in service and medical robots that handle fragile objects, assist patients, or perform tasks that require fine motor control. In advanced systems, tactile feedback also helps robots adjust their grip in real time to prevent slippage or damage.

7. Environmental sensors

Environmental sensors help robots detect external conditions like temperature, humidity, light, or gas levels. These sensors are essential in environments where safety, stability, or chemical exposure is a concern.

Common examples include:

• Temperature sensors, which monitor heat levels in industrial processes, battery systems, or sensitive electronics.
• Gas sensors, which detect hazardous substances like carbon monoxide or volatile organic compounds.
• Humidity and air quality sensors are often used in clean rooms, food production, or agricultural robotics.

Industrial robot sensors in this category play a key role in protecting both machines and humans. They enable robots to shut down when conditions become unsafe, trigger ventilation, or adjust handling based on surrounding changes. These are especially important in mining, chemical plants, and disaster response operations.

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Why are sensors important in robotics?

Sensors in robotics give machines the ability to detect, interpret, and react to their environment. Without them, robots would operate blindly and would be unable to correct errors, adjust behavior, or ensure human safety.

Robotic sensors serve four key roles:

• Safety: Proximity and tactile sensors stop motion when humans get too close, reducing the risk of injury.
• Adaptability: Environmental and touch sensors help robots respond to heat, resistance, texture, or unexpected changes mid-task.
• Perception: Sensors like cameras and LiDAR allow robots to recognize objects, map surroundings, and detect motion in real time.
• Precision: Position and force sensors help control movement down to fractions of a millimeter, which is critical for tasks like welding, assembly, or inspection.

Whether it’s an industrial cobot or a mobile robot, every real-world deployment depends on accurate, real-time sensor input.

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What are the main applications of robotic sensors?

The main applications of robotic sensors include industrial automation, surgical robotics, service robots, autonomous mobile robots, agricultural robots, and collaborative robotics. Each application combines different sensor types to help robots perceive, adapt, and act safely in real-world environments.

1. Industrial robots

Industrial robots depend on sensors for accuracy, repeatability, and process monitoring. Encoders control joint angles during welding, while torque sensors confirm proper force when inserting or fastening components. Vision systems identify parts, align tools, and detect surface defects in quality inspection.

Environmental sensors also support factory safety by monitoring ambient temperature or chemical levels during tasks like soldering or painting. Range sensors prevent collisions in fast-paced assembly lines. Together, these robotic sensors create a feedback loop that keeps operations efficient and error-free.

2. Medical and surgical robotics

Surgical robots use force and tactile sensors to mimic the sensitivity of human hands during delicate procedures. These sensors let the system detect tissue resistance or pressure during cutting, suturing, or implant placement, helping reduce risk in high-precision tasks.

In physical therapy, motion and position sensors track patient movement and adjust support levels based on resistance. Smart rehab systems use this sensor data to tailor recovery plans, alert clinicians to irregularities, and deliver more personalized care without constant supervision.

3. Service robots

Service robots, such as cleaning bots or delivery assistants, use a mix of proximity, ultrasonic, and LiDAR sensors to move safely in crowded environments. These sensors help detect walls, people, stairs, and dynamic objects like carts or strollers.

Touch sensors embedded in grippers or trays allow robots to handle fragile items like glassware or medication without damaging them. Vision sensors add facial recognition and gesture detection, which enables smoother interaction in hospitality, healthcare, or retail settings.

4. Autonomous mobile robots (AMRs)

Autonomous mobile robots (AMRs) rely on sensor fusion to map, localize, and avoid obstacles without human control. They scan with LiDAR and stereo vision, track motion with wheel encoders and IMUs, and adjust paths in real time to prevent collisions in busy aisles.

IMUs and wheel encoders handle internal positioning, especially when GPS isn’t available indoors. Some AMRs also use thermal or sound sensors to detect environmental changes or identify operational hazards like steam leaks, spills, or machinery vibrations.

5. Agricultural and field robots

Agricultural robots use vision and environmental sensors to monitor crop health, detect weeds, and plan harvesting paths. For example, drones equipped with multispectral cameras assess leaf coloration and spot early signs of disease or nutrient deficiency.

Ground robots use soil moisture, humidity, temperature, and gas sensors to optimize irrigation or fertilization. With this data, they adjust spraying or seeding actions in real time, reducing waste while increasing yield, even in harsh, unpredictable outdoor conditions.

6. Collaborative robots (cobots)

Cobots rely on force, torque, and proximity sensors to work safely alongside human operators. These robotic sensors allow the system to stop immediately if it detects resistance or contact, reducing the risk of injury without relying on physical barriers or fencing.

In adaptive workflows, cobots use vision and tactile input to recognize different parts, adjust grip force, and correct alignment without reprogramming. This flexibility makes them ideal for small-batch manufacturing, lab automation, or the packaging industry, where parts and processes constantly change.

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What are the advantages and limitations of robotic sensors?

The advantages of robotic sensors include better accuracy, safety, and adaptability, while their limitations involve cost, complexity, and sensitivity to environmental factors.

Here’s how the trade-offs stack up:

Selecting the right robotic sensors and designing around their limits is what makes the difference between a smart system and an unreliable one.

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Summing up

Sensors are what make robots intelligent, safe, and useful in real-world environments. They enable precision in tasks like welding, adaptability in logistics, and safety when working alongside people.

For manufacturers, choosing the right mix of vision, force, and proximity sensors is the difference between automation that simply runs and automation that delivers real ROI. As sensor technology continues to advance, robots will only become more capable, reliable, and easier to deploy across industries.

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Next steps with Standard Bots’ robotic solutions

Exploring smarter ways to equip your robots with the right sensors? Standard Bots Core is the perfect six-axis cobot addition to any sensor-driven automation setup, delivering unbeatable precision and flexibility.

• Affordable and adaptable: Core costs $37K. Get high-precision automation at half the cost of traditional robots.
• Precision and power: With a repeatability of ±0.025 mm and an 18 kg payload, Core handles even the most demanding CNC jobs.
• AI-driven simplicity: Equipped with AI capabilities on par with GPT-4, Core integrates smoothly with CNC systems for advanced automation.
• Safety-first design: Machine vision and collision detection mean Core works safely alongside human operators.

Schedule your on-site demo with our engineers today and see how Core can bring AI-powered greatness to your shop floor.

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FAQs

1. What are sensors in robotics?

Sensors in robotics are components that help robots gather data about their environment and internal state so they can operate intelligently. These devices detect everything from distance and force to motion, temperature, and texture. 

By turning physical input into digital signals, sensors allow robots to move accurately, adjust to changes, interact with humans, and complete complex tasks with minimal supervision. Without sensors, robots would lack the awareness needed for real-world deployment.

2. How do proximity sensors help robots avoid obstacles?

Proximity sensors help robots avoid obstacles by detecting nearby objects before physical contact occurs. These sensors use technologies like infrared, ultrasonic waves, or capacitive fields to measure distance and identify when something enters a robot’s path. 

When an object is detected, the robot can slow down, reroute, or stop entirely to prevent collisions. This is especially important in mobile robots and cobots that work in shared human environments.

3. Why are force and torque sensors important in robotic arms?

Force and torque sensors are important in robotic arms because they measure how much pressure or twisting force is applied during a task. This allows robots to adjust grip strength, detect resistance, and respond safely when working with delicate objects or in collaborative settings. 

For example, in assembly or polishing, a robot can use torque sensors to detect if something is misaligned or jammed and take corrective action without breaking the part or tool. These sensors are essential for precision, quality, and safety in physical human-robot interaction.

4. What sensors are commonly used in industrial robots?

Sensors that are commonly used in industrial robots are encoders, torque sensors, 2D or 3D vision systems, LiDAR, and proximity sensors to perform high-speed, high-precision work. Encoders track joint positions for repeatable motion, while force sensors monitor contact pressure to prevent over-tightening or tool breakage. 

Vision and range sensors help robots detect parts, inspect quality, and navigate tight production spaces. These sensors are standard in applications like welding, assembly, CNC tending, and robotic packaging.

5. How will future sensors make robots more intelligent?

Future sensors will make robots more intelligent by improving how robots perceive their surroundings, process sensory data, and adapt to changing conditions in real time. AI-powered sensor fusion will combine inputs from multiple sources, allowing robots to build a more complete understanding of the task and environment. 

Edge computing will allow real-time processing on the robot itself, eliminating cloud delays. In addition, advances in miniaturization and flexible materials will expand sensing capabilities into smaller, softer, and more sensitive robot designs.