Technical standards and regulatory frameworks drive the reduction of risk across industrial, humanoid, general-purpose, and other robotic systems. While functional safety remains foundational, it must be complemented by emerging approaches to AI safety and the safety of intended functionality in increasingly autonomous and perception-driven systems. Organizations that establish proactive, robust safety programs—supported by well-trained development teams—gain a meaningful advantage while reducing liability and regulatory exposure as systems move into closer interaction with people.
SecuRESafe (SRES) experts have decades of hands-on experience developing, consulting on, and independently assessing complex, software-dominant safety-critical systems to meet the highest Safety Integrity Levels (SILs) under IEC 61508. Our work spans traditional industrial automation as well as mobile, autonomous delivery, and human-interactive robotic platforms.
As industrial systems evolve beyond fixed, fenced automation, functional safety concepts must be applied to robots operating in shared environments that respond dynamically to human presence. We help teams interpret and apply established functional safety principles in contexts where stability, controlled shutdown, and safe behavior under fault conditions are essential.
Our consulting experience directly informs the professional training we deliver. Our Physical AI training offerings include IEC 61508 Functional Safety Training, ISO/IEC TS 22440 Functional Safety and AI Systems Training, IEC 61508 Software Development Training, EU Cyber Resilience Act Training, and Responsible AI Training aligned with ISO/IEC 42001 and the EU AI Act.
In addition to public training programs, we offer private and customized training for teams, combining instructor-led delivery with tailored content and discussion focused on an organization’s specific development processes, technologies, and priorities.
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ISO/IEC TS 22440 is an emerging three-part standard for functional safety and AI systems. This article examines its relationship to existing standards, AI-specific safety considerations, and what teams can do before publication.
Humanoid and general-purpose robots require a safety approach that extends beyond any single standard. This practical guide explains how ISO, IEC, ANSI, UL, AI safety, cybersecurity, and safety-case practices can be combined across industrial, commercial, public-facing, and residential robot applications.
This article examines challenges in applying ISO 26262 to SAE Level 4 Automated Driving Systems (ADS) without human fallback, focusing on item definition and controllability
We’re here to provide the guidance and support you need to navigate the complexities of engineering with responsibility and safety at the forefront.
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