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.
Glossary
Safety-Rated Monitored Stop

What is Safety-Rated Monitored Stop?
A foundational safety function for collaborative robots (cobots) that enables safe, shared workspaces.
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.
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.
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.
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.
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.
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.
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.
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.
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 / Metric | Safety-Rated Monitored Stop | Power and Force Limiting (PFL) | Hand Guiding | Safety-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 |
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.
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Related Terms
A Safety-Rated Monitored Stop is one of several defined collaborative operation modes. These terms detail the complementary safety functions, control paradigms, and standards that enable safe physical human-robot collaboration.
Hand Guiding
Hand Guiding is a collaborative operation mode where a human operator physically grasps the robot's end-effector or arm and manually moves it. The robot's control system enters a zero-gravity or compliant state, allowing effortless movement for teaching or direct task execution.
- Primary Use Case: Kinesthetic teaching of paths, points, or complex trajectories without traditional programming.
- Safety Integration: Often combined with a dead-man switch or enabling device the operator must hold. The system typically monitors for excessive speed or force.
- Control Scheme: Implemented via admittance control, where an applied force is interpreted as a desired velocity or position change.
Collaborative Robot (Cobot)
A Collaborative Robot (Cobot) is a robot designed from the ground up to operate safely alongside humans in a shared workspace without traditional fixed safety guarding. Safety-rated monitored stop is one of its foundational capabilities.
- Inherent Safety Features: Include rounded edges, force-limited joints, smooth surfaces, and back-drivable actuators to minimize injury risk during contact.
- Enabling Technologies: Integrate collision detection (via proprioceptive sensing) and external safety-rated vision systems to enable modes like PFL and SSM.
- Application Scope: Distinct from traditional industrial robots retrofitted with sensors for collaboration; cobots are intrinsically safe for direct HRI.
Adjustable Autonomy
Adjustable Autonomy is a system design principle that allows for dynamic, context-sensitive modification of a robot's level of self-governance. Safety functions like monitored stop are often triggers or components within these adaptive control frameworks.
- Operational Spectrum: Enables smooth transitions between fully autonomous, semi-autonomous (shared control), and fully manual modes.
- Integration with Safety: A monitored stop may be invoked to freeze the scene before control authority is transferred from the robot to a human operator, or vice-versa, ensuring safe handover.
- Use Case: In a complex assembly task, the robot may work autonomously, enter a monitored stop when the human brings a new part, then switch to hand guiding mode for a precise placement operation before resuming autonomous fastening.

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.
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