DXresearch
Humanoid robotics is entering the same industrialization phase once seen in automotive and aviation: innovation alone is no longer enough. Standards such as ISO 10218, ISO/TS 15066, IEC 61508, IEC 62443 and emerging humanoid-focused frameworks will define how Physical AI becomes scalable, certifiable and insurable. The next competitive advantage is trusted deployment. That is where…
The global humanoid robotics and Physical AI ecosystem is accelerating fast — but the event landscape is fragmented across regions, industries and technologies. Explore the event overview, discover key hubs, and help improve the ecosystem map with additional events, corrections and recommendations –> http://www.dxresearch.eu/roboevents.html We mapped 200+ global events covering humanoids, robotics, AI, semiconductors, automation,…
Humanoids are are emerging because several independent bottlenecks that blocked them for decades crossed minimum viability thresholds at roughly the same time. 1. Control stability under uncertainty became computable Classical robotics failed at whole-body interaction not because of mechanics, but because real-time control under partial observability was intractable at acceptable cost and power. What changed…
Why system architecture, not intelligence, decides whether humanoids scale Humanoid robots concentrate more actuation, sensing, and compute per kilogram than almost any other engineered system. They are mobile, contact-rich, power-constrained, and expected to operate safely around humans while continuously evolving through software updates. In this regime, electrical and electronic architecture is not a background discipline.…
A humanoid Physical AI system is not defined by its shape, but by the tight coupling of perception, intelligence, control, actuation, energy, and safety within a single embodied machine. Unlike task-specific robots, humanoids must integrate all major functional blocks at human scale, under continuous interaction with people and environments not designed for automation. This chapter…
Physical AI refers to embodied systems that sense, decide, and act in the real world using a combination of learning-based intelligence and deterministic physical control. It is not defined by a specific algorithm or model class, but by a system property: intelligence that is inseparable from physics, timing, energy, and safety constraints. Physical AI systems…