FOCUS ON ROBOTICS
process large datasets, detect patterns and provides actionable insights. This enables them to autonomously anticipate failures before they occur in smart factories or path planning and resource allocation in logistics for example.
Generative AI, on the other hand, marks a shift from rule-based automation to intelligent, self-evolving systems. GenAI creates new outputs and enables robots to learn new tasks autonomously and generate training data through simulation. This also allows a new kind of human – robot interaction with natural language and vision-based commands.
A key trend to further develop autonomy in robotics is Agentic AI. This technology combines analytical AI for structured decision-making and generative AI for adaptability. The hybrid approach aims to make modern robotics capable of working independently in complex, real-world environments.
■ Robots gain versatility as IT meets OT: Demand for versatile robots is accelerating. This directly reflects a market push towards a convergence of Information Technology( IT) and Operational Technology( OT). The merge of IT’ s data-processing power and OT’ s physical control capabilities enhance robotics’ versatility through real-time data exchange, automation and advanced analytics. This integration is a foundational element of the digital enterprise and Industry 4.0.
■ Humanoid robots: Humanoid robots for industrial use are seen as a promising technology where flexibility is required, typically in environments designed for humans. Pioneered by the automotive industry, applications in warehousing
and manufacturing are coming into focus worldwide. Humanoids intended to fill labour gaps need to achieve human-level dexterity and productivity( key measures to prove real world efficiency).
■ Safety and security: As robots increasingly operate alongside humans in factories and service settings, ensuring that they operate safely is essential for the robotics industry. The AI-driven autonomy fundamentally changes the safety landscape, which makes testing, validation and human oversight much more complex— but also more necessary. This becomes particularly clear in the intended use of humanoid robots. Robotic systems need to be designed and certified in line with ISO safety standards and clearly defined liability frameworks.
“ In the context of AI in robotics and the convergence of IT and OT, a spectrum of safety and security concerns arise that demand robust governance and clear assignment of liability. The rapid expansion of robotics
Image: @ Estun Robotics Europe. systems into cloud-connected and AI-driven environments is exposing industrial production to a growing array of cybersecurity threats. Experts cite a rise in hacking attempts targeting robot controllers and cloud platforms, enabling unauthorised access and potential system manipulation. As robots become more integrated into workplaces, concerns are mounting over the sensitive data they collect— including video, audio and sensor streams. Deep learning models which are often described as‘ black boxes’ can produce results that are difficult or impossible to explain, even to their own developers. The legal and ethical ambiguity surrounding liability has prompted calls for clear frameworks to govern AI deployment,” outlined the IFR.
■ Tackling labour gaps. Employers around the world are struggling to find people with the specialised skills required. These unfilled jobs leave existing staff covering extra shifts, with rising stress and fatigue across all sectors. A key strategy for addressing this issue is to adopt robotics and automation. In this transformation process, employers benefit from taking their human workforce on board. The close cooperation with employees in implementing robots plays a crucial role to ensure acceptance( both in industrial manufacturing settings as well as in service applications). Robots are also a way to make a workplace much more attractive to young people.
In conclusion
“ Global robot demand is expected to continue its long-term growth trajectory. Installations are forecast to rise by 9 % to 655,000 units in 2026 and reach 806,000 units in 2029. Despite substantial regional differences, with countries such as China, the US and India as strong growth markets, the global outlook remains positive,” summarised the IFR.
“ The need for more resilient supply chains and recent developments of trade and industrial policy in several major economies are resulting in increasing relocation activity in the manufacturing industries. Building manufacturing capacity in highwage economies and countries facing labour shortages will drive the demand for automation technology. While this may shift the regional pattern of robot demand, there is no indication that the long-term growth trend in industrial robotics is coming to an end from a global perspective,” it concluded. n
52 | ismr. net | ISMR October 2026