Tag: robotics

Beijing-based RobotEra is deploying its L7 humanoid robot across more than 10 logistics centers for sorting tasks, representing one of the larger-scale commercial deployments of humanoid robots. While details are limited, this represents the ongoing transition of humanoid robotics from research to commercial deployment at scale.

A robot completed a half-marathon in 50m26s, significantly faster than the human record of 57m20s. This milestone demonstrates that robots are now surpassing human physical capabilities in endurance tasks, not just cognitive ones. The high engagement (8163 upvotes) reflects the symbolic significance of robots outperforming humans in traditionally human domains.

China's new automated production line can manufacture one humanoid robot every 30 minutes. UBTECH, AgiBot, and Unitree are all hitting similar production rates, marking a shift from prototype to mass manufacturing. This represents a critical inflection point in robotics scalability.

Viral video showing autonomous delivery vans in China encountering various real-world obstacles—highlighting the gap between controlled testing and messy deployment environments. The discussion covers edge cases, safety protocols, and the reality of deploying autonomous systems at scale.

Latest Atlas demo shows the humanoid robot assembling car frames without rotating its feet—instead spinning its arms completely. The robot demonstrates 4 hours of autonomy, which the community identifies as the primary bottleneck for electronic humanoid robots. Boston Dynamics continues pushing practical manipulation capabilities.

A roboticist integrated Claude Haiku into a physical robot that successfully recognized itself in a mirror without being explicitly trained on its appearance. The LLM simply "knew" it was a robot and responded organically. The creator finds the result both amazing and unsettling—a form of emergent self-awareness.

CES 2026 marked a shift from spectacle demos to concrete deployment timelines, pricing targets, and pilot programs across factories, healthcare, logistics, and homes. The focus has moved from "what robots can do" to "reliability, safety, and scaling." Several platforms are already in early deployments.

NVIDIA and Eli Lilly announce a multidisciplinary AI lab combining scientists, AI researchers, and engineers to tackle hard problems in drug discovery. The lab features robotics and physical AI, suggesting they're building closed-loop experimental systems where AI designs experiments and robots execute them.