Modern industrial robot systems rely on increasingly complex infrastructure to support continuously evolving artificial intelligence (AI) and machine learning (ML) capabilities, seamless connectivity, and scalable deployment within the factory. These systems require sensors, security hardware, circuit protection, and control components to meet the requirements of high bandwidth, real-time response, and strict functional safety standards.
This article explores the fundamental technologies that support Industry 4.0 robot technology, with a focus on SICK sensors, safety solutions, and how Eaton's industrial control components help achieve safe motion control, adaptive system behavior, and decisive decision-making. The specific topics of discussion include the key driving factors of elastic intelligent automation, such as perception architecture, machine security compliance, fault-tolerant control strategies, and integration of distributed edge automation networks.
Advanced sensing system for factory dynamic environment
As shown in Figure 1, Industry 4.0 robots have achieved safe and efficient operation in factory workshops through advanced sensors. Although operating under harsh conditions such as constantly changing light, the presence of particles in the air, and mechanical vibrations, these sensors must still be able to quickly process real-time data to accurately track personnel, mobile robots, and rapidly moving assembly lines.
Igus' Multi Axis Industry 4.0 Robot Arm
Figure 1: Multi axis Industry 4.0 robotic arm utilizes integrated sensors and real-time feedback to achieve precise and fast operation. (Image source: Igus)
The robot platform integrates multiple sensor modes to ensure spatial perception and millisecond level response. The sensor fusion algorithm aggregates these input information together to generate a real-time coherent model of the robot's operating environment. The visual system manages object detection and positioning, while the security level laser scanner monitors unauthorized approaches within the restricted area. Low latency Time of Flight (ToF) sensors capture three-dimensional spatial data, enabling real-time path adjustment and context aware behavior.
Robots also rely on internal sensors and contact sensors to improve motion control and interaction. Tactile sensors, including force/torque sensors and limit switches, can provide feedback for grasping, assembly, and compliance tasks. Inductive, capacitive, and ultrasonic proximity sensors can detect nearby objects without contact, and their detection distance is usually shorter than ToF systems. Encoders and potentiometers track joint position and velocity for precise motion planning, while inertial measurement units (IMUs) measure acceleration and angular velocity to maintain direction and balance. Finally, electrical sensors monitor current and voltage to evaluate motor load and detect faults.
Standard based industrial robot safety
Industry 4.0 robots must comply with strict international safety standards to protect the safety of personnel and equipment. The three major standards, ISO 13849, IEC 62061, and ISO 10218, specify the functional and control system safety requirements for factory workshop robot systems.
ISO 13849 outlines the design and validation standards for safety related control components. This standard adopts a risk-based approach and uses performance levels (PL) to classify system integrity based on the severity of hazards, exposure frequency, and potential avoidance scenarios. IEC 62061 quantifies the required risk reduction for functional safety of electrical, electronic, and programmable control systems using Safety Integrity Level (SIL). These standards collectively specify the design, implementation, and validation requirements for perception and control functions in safety critical applications.
The ISO 10218 standard applies these principles specifically to industrial robots, covering safety requirements for robot design, work unit layout, system integration, and operation. This includes using safety grade sensors to perform tasks such as emergency stop, protection, and motion monitoring. These components must meet specified performance and reliability thresholds and are typically demonstrated through structured testing and validation.
The ISO 13849, IEC 62061, and ISO 10218 standards form the core of robot safety standards. Other standards, including IEC 60204-1 Electrical Safety Standard and ISO/TS 15066 Human Machine Collaboration Standard, have expanded the basic framework for safety deployment and integration.
Integrated security system for human-machine collaboration
The factory operator adopts security solutions from suppliers such as SICK and Eaton to meet standards in terms of functionality and machine safety. For example, SICK's Safe EFI Pro system utilizes integrated sensors, controllers, and actuators to support real-time control of safety functions for both fixed and mobile robots. As shown in Figure 2, the key component of the system, the microScan safety laser scanner, can perform adaptive and situation dependent motion detection in dynamic environments.
SICK microScan3 safety laser scanner
Figure 2: SICK's microScan3 safety laser scanner can monitor protected areas and dynamically detect motion, providing support for adaptive protection in industrial environments. (Image source: SICK)
Operators can also use SICK's End of Arm Protection System (EOAS) to maintain a dynamic protection zone around the robot tool head. EOAS utilizes ToF technology to achieve secure non-contact human-machine collaboration with a response time of less than 110 milliseconds.
As a supplement to these automated systems, SICK also provides manual and peripheral security components. The operator can quickly shut down the machine by operating the ES21 emergency stop switch in case of emergency. The STR1 non-contact safety switch adopts RFID technology to achieve tamper proof and protective monitoring, supports advanced coding, and complies with the EN ISO 14119 standard.