DXresearch
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,…
Lyra did not begin as a machine that could move, perceive, or decide, but as a convergence point for a set of engineering assumptions that had not yet been tested under real-world conditions where timing, uncertainty, and physical interaction define system behavior. Dirk stood in front of the first assembled system with the awareness that…
Software Defined Humanoids Scale Through Semiconductor Intelligence Humanoid robots are evolving into software-defined platforms shaped by sensing, compute, and power efficiency. The real shift lies in system architecture, where semiconductors define scalability, safety, and lifecycle value across physical AI deployments.
Humanoid Robotics and Cybersecurity Architecture at Scale Trust will define adoption. Security architecture will define trust. As humanoids enter real environments, cybersecurity evolves into a system-level design discipline shaping safety, reliability, and market readiness.
Where Humanoid Robots Are Truly Engineered 🤖 The performance of humanoid robots emerges from disciplined integration across mechanics, electronics, AI, and control systems. Competitive advantage increasingly forms at their intersection. Humanoid robotics is entering a phase where system integration defines progress. Individual disciplines continue to advance, yet measurable impact depends on how effectively they converge…
Functional safety in humanoid systems is converging across industries, pointing toward adaptive, AI-aware architectures as the emerging baseline for trust and scalability.
Humanoid robotics is scaling through platforms and semiconductor-defined building blocks 🚀 The path to scalable humanoids points toward modular architectures, where standardized semiconductor building blocks enable flexibility, cost efficiency, and ecosystem growth across diverse applications.
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…
Torque sensing has transitioned from a niche capability to a foundational system primitive for physical-AI robots operating in unstructured, contact-rich environments. By exposing interaction forces directly at the joint or actuator level, torque sensing enables safer manipulation, more stable locomotion, improved disturbance rejection, and learning policies that generalize better outside controlled settings. Compared with position-dominant…
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…