COMMENT
Why precision electronics define real-world performance
The humanoid shift:
The BMW Group’s deployment of AI-enabled humanoid robots in automotive production highlights the shift towards physical AI in manufacturing environments. These systems are designed to support repetitive high-precision tasks within factory settings where adaptability and consistency are increasingly important.
By Ross Turnbull, director of business development, Swindon Silicon Systems
T
he global robotics industry continues to expand as automation increasingly becomes embedded across automotive, electronics and logistics sectors. According to the International Federation of Robotics, “542,000 industrial robots were installed globally in 2024”, bringing the total number of operational units to 4.66 million, driven by demand for higher throughput, labour efficiency and flexible production systems across manufacturing environments. Within this broader market, humanoid robotics remains an emerging segment, with Goldman Sachs projecting the sector to reach around 38 billion USD by 2035 as development moves from pilot systems towards industrial deployment.
From fixed automation to adaptive robotics
Humanoid robots are robotic systems designed with human-like form factors that allow operation in environments built for people. Unlike traditional industrial robots, which are fixed to specific tasks and locations, humanoids are designed for adaptability in dynamic environments where workflows are not fully structured. In manufacturing settings, these systems are used for repetitive assembly, material handling, inspection and support tasks. Deployments in automotive production demonstrate this shift, with humanoid platforms operating alongside human workers to support precision-driven tasks while improving production flexibility without
42 JUNE 2026 | ELECTRONICS FOR ENGINEERS major changes to existing infrastructure.
Physical AI and system integration limits
Physical AI combines digital intelligence with physical systems that perceive, decide and act within real-world environments. Performance depends on how effectively computational output is translated into physical execution.
Humanoid robots process large volumes of sensor data in real time while maintaining precise motion control. This introduces constraints including signal noise, latency, mechanical variation and environmental interference. Even small reductions in
signal integrity directly impact stability and accuracy in repetitive operations.
Operational constraints in industrial environments
AI defines decision making, but execution depends on the quality of underlying electronics. Industrial environments introduce vibration, electrical noise and temperature variation, which affect signal quality and system response. As humanoid systems move from pilot deployment to continuous operation, these constraints significantly increase. Performance must remain consistent across thousands of cycles under variable
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