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Glossary

Safety-Rated Monitored Stop

A Safety-Rated Monitored Stop is a collaborative robot safety function that halts motion when a human enters a defined workspace and resumes automatically when they leave.
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COLLABORATIVE ROBOT SAFETY FUNCTION

What is Safety-Rated Monitored Stop?

A foundational safety function for collaborative robots (cobots) that enables safe, shared workspaces.

A Safety-Rated Monitored Stop is a collaborative operation safety function defined in standards like ISO/TS 15066 where a robot immediately halts all motion upon detecting a human entry into a defined collaborative workspace but remains powered and ready to automatically resume its task once the human exits. This function is implemented through safety-rated monitored speed and separation monitoring (SSM) systems, which use safety-rated sensors like light curtains or laser scanners to create a protective separation distance. The robot's control system must meet Performance Level d (PLd) or Category 3 safety integrity to guarantee the stop function's reliability.

Unlike an emergency stop, which cuts power and requires a manual reset, a monitored stop maintains actuator torque and servo control, allowing for instantaneous resumption. This enables efficient human-robot collaboration in tasks like machine tending or assembly. The function is a key enabler for collaborative applications where intermittent human intervention is required, balancing safety with production cycle time. Its implementation is validated through risk assessments and requires integration with the robot's safety controller to monitor the protective separation distance in real-time.

COLLABORATIVE OPERATION MODE

Key Features of Safety-Rated Monitored Stop

A Safety-Rated Monitored Stop is a foundational collaborative safety function defined by standards like ISO/TS 15066. It enables safe human-robot co-presence by halting robot motion upon human entry into a defined workspace, resuming automatically when the area is clear.

01

Defined Collaborative Workspace

The function is activated within a predefined spatial zone, often monitored by safety-rated sensors like light curtains, safety laser scanners, or area scanners. This zone is distinct from the robot's full operational envelope and is configured during the system's safety validation. The robot's motion is permitted only when this zone is confirmed to be unoccupied by a human.

02

Stop Category & State Maintenance

It implements a Category 2 stop per IEC 60204-1 and ISO 13850. This means:

  • Motion is halted using a controlled stop (deceleration to zero).
  • The robot's actuators remain powered on.
  • The robot maintains its position and does not enter a zero-torque or gravity-compensation mode.
  • All control system state information (joint positions, program counter) is preserved, enabling automatic resumption.
03

Automatic Resumption Without Re-initiation

This is the defining characteristic versus a standard protective stop. Once the collaborative workspace is verified as clear by the safety sensor system, the robot automatically resumes its programmed task from the exact point of interruption. No manual restart command (e.g., pressing a reset button) is required, which is critical for maintaining workflow fluidity in collaborative applications.

04

Safety-Rated Monitoring & Validation

The entire control loop—from sensor input to motion halt—must be implemented with Safety Integrity Level (SIL) or Performance Level (PL) rated components and architectures (e.g., PL d per ISO 13849-1). This includes:

  • Dual-channel monitoring of stop signals.
  • Cross-checking of sensor data and actuator feedback.
  • Diagnostic coverage to detect faults within the safety function itself. The system must be validated to ensure the stop is always triggered within the required safety distance.
05

Application in Human-Robot Workflow

This mode is designed for tasks where human intervention is frequent but brief. Common use cases include:

  • Machine tending: A human enters to load/unload a part; the robot stops, then resumes the machining cycle.
  • Assembly assist: A robot holds a component; a human enters to perform a manual operation (e.g., inserting a pin), then leaves for the robot to proceed.
  • Quality inspection: A robot presents a workpiece; a human enters for a visual check before the robot moves it to the next station.
06

Contrast with Other Collaborative Modes

It is one of four primary collaborative operations per ISO/TS 15066:

  • Safety-rated monitored stop: Stops on entry, auto-resumes on exit (this function).
  • Hand guiding: Human physically directs robot motion.
  • Speed and separation monitoring: Robot speed dynamically scales based on human proximity.
  • Power and force limiting (PFL): Robot is inherently safe for contact via design limits. Unlike PFL, monitored stop prevents contact entirely. Unlike speed and separation, it uses a binary occupied/unoccupied state.
COLLABORATIVE OPERATION MODES

Safety-Rated Monitored Stop vs. Other Safety Functions

A functional comparison of Safety-Rated Monitored Stop against other primary safety functions defined in standards like ISO 10218 and ISO/TS 15066, highlighting their distinct operational logic, hardware dependencies, and use cases in human-robot collaboration.

Feature / MetricSafety-Rated Monitored StopPower and Force Limiting (PFL)Hand GuidingSafety-Rated Speed & Separation Monitoring (SSM)

Primary Safety Standard

ISO 10218-1/2, ISO/TS 15066

ISO/TS 15066

ISO 10218-1/2, ISO/TS 15066

ISO/TS 15066

Core Operational Logic

Stop motion on entry; resume on exit

Limit intrinsic contact force/power

Direct physical guidance with compliance

Maintain protective separation distance

Motion During Collaboration

Stopped (Zero Speed)

Reduced, Continuous

Compliant, User-Directed

Conditionally Continuous

Typical Sensor Dependency

Presence-sensing device (e.g., light curtain, safety laser scanner)

Joint torque sensors, current monitoring

Force/torque sensor in flange or joints

Safety-rated vision system or laser scanner

Automatic Resume Condition

Human exits monitored zone

Contact force drops below threshold

User releases robot / mode deactivated

Separation distance is re-established

Hardware Safety Requirement

Safety-rated monitored output (STO not required)

Safety-rated monitored speed & torque limits

Enabling device (deadman switch) & force sensing

Safety-rated monitored speed & position

Use Case Example

Human loads/unloads part from static robot

Human works alongside moving robot (e.g., co-assembly)

User physically teaches robot a path

Robot and human work in adjacent, dynamic cells

Contact Scenario Mitigated

Eliminates contact by ensuring zero motion

Transient or quasi-static contact

Intentional, guided contact

Prevents contact via spatial enforcement

SAFETY-RATED MONITORED STOP

Frequently Asked Questions

A Safety-Rated Monitored Stop is a critical collaborative safety function in robotics. These questions address its technical definition, implementation standards, and role within modern human-robot interaction (HRI) systems.

A Safety-Rated Monitored Stop is a collaborative robot operation mode where the robot ceases all motion when a human enters a predefined collaborative workspace but remains fully powered and ready to resume its task automatically once the human exits the zone. This function is explicitly defined within the ISO/TS 15066 technical specification for collaborative robot systems. Unlike an emergency stop (E-stop), which requires a manual reset, the monitored stop is an automatic, transient state designed for frequent human entry and exit, maximizing productivity while ensuring safety. It is a foundational element of collaborative robot (cobot) applications, enabling fluid hand-off tasks and shared workspace operations.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.