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Humanoid robot traffic officers in China can direct vehicles, reprimand jaywalkers, and guide tourists to nearby metro stations. In Hangzhou, at least 15 robots have been deployed, but they are deliberately unable to physically stop people or vehicles.
The Association for Advancing Automation says non-automotive industries accounted for 54.8% of North American robot orders in the first half of 2026. The shift is being driven by applications in semiconductors, life sciences, pharmaceuticals, food, and consumer products, while AI, collaborative robots, and mobile robots expand the market.
MORPHI made its first systematic domestic appearance at WRC, showcasing its newly released embodied-intelligence model architecture, MoRA. The demonstration focused on how a robot’s embodied brain supports practical long-horizon tasks.
51World has unveiled a suite of data-collection devices and platforms designed to generate training data for embodied AI systems. The Beijing-based company argues that higher-quality physical-world data is essential for improving intelligent humanoid robots.
AI for Science is moving from computational assistance to physical experimentation as robots enter national-level laboratories. 源络科技 is presented as a company helping bring AI for Science into a more automated laboratory 3.0 stage.
Nick Bostrom explores two contrasting possibilities for AI’s future: existential catastrophe and a world where AI solves every major problem. He examines how humans might find meaning when robots and AI outperform people in virtually every task.
Xynova CEO Alex Xia discusses the company’s work on human-like robot hands, along with innovation challenges and industry bottlenecks. He also outlines the company’s fundraising plans in an interview with Bloomberg Technology.
LeadShine Technology Strategic Investment Director Nangle Zheng says China has reduced humanoid robot development cycles from years to months. He discusses the role of China’s robotics supply chain in an interview with Bloomberg Technology.
The FDA has cleared Aletta, an independent robot that automates venous blood collection in outpatient settings. It uses near-infrared imaging and Doppler ultrasound to locate veins, while trained staff must initiate and supervise the procedure; one operator can monitor up to three robots.
The article examines a new phase of AI for Science in which robots are becoming foundational infrastructure for research. It highlights the growing role of robotic systems in enabling and automating scientific work.