Mighty AI (acquired by Uber ATG) was a data annotation and training data platform for autonomous vehicle perception systems. The company specialised in generating high-quality labelled datasets to train machine learning models for self-driving applications.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
China controls 80% of humanoid robot shipments and crushes hardware costs. But is winning the body enough? A deep analysis of the US-China robot war beyond the EV analogy.
Hyundai Motor Group acquires SoftBank's remaining 9.65% stake in Boston Dynamics for $325 million, triggered by a 2021 put option. Analysis of ownership history, Atlas commercialization challenges, and what full control means for the humanoid robot industry.
A new open-source system called “MIGHTY” has been developed to enhance efficiency in disaster recovery and parcel delivery by swiftly generating optimized travel routes. This innovative technology is designed to minimize travel time and navigate around obstacles, making it a valuable tool for emergency responders and logistics companies alike. The system's capabilities could significantly improve response times during disasters and streamline delivery processes, ultimately benefiting communities in need. The introduction of MIGHTY comes at a crucial time as the demand for efficient logistics solutions continues to grow, particularly in the wake of natural disasters. By leveraging advanced algorithms and real-time data, MIGHTY aims to transform how organizations approach both emergency management and everyday deliveries.
Modular, prefab, and 3D printing are moving construction off-site. ICON's Phoenix printer targets multi-story builds. PERI-COBOD's DREIHAUS delivered 30% faster and 10% cheaper in Germany. WinSun re-enters the US as Gaudi Tech. The paradigm shift is accelerating.
New T2 scaling laws from Wisconsin-Madison and Stanford show that smaller, overtrained models outperform frontier LLMs on reasoning tasks when total compute cost is equal — with direct implications for robotics inference pipelines.
A humanoid robot lost control at a Haidilao restaurant in California, exposing the unresolved E-Stop paradox: for bipedal robots, cutting power may be as dangerous as doing nothing. Standards must catch up before deployment scales further.
HEIS 2026 vs. global robot standards: how China's humanoid AI framework compares to ISO 10218, ANSI/A3 R15.06-2025, and the EU AI Act across safety, cybersecurity, and certification.
How OpenClaw's digital AI agent pattern is revolutionizing physical robotics through natural language control, ROS 2 middleware, and edge AI hardware—making robots reprogrammable through software instead of mechanical retooling.
Lunar rovers face -180°C nights and glass-sharp dust while building moon infrastructure. Inside the engineering challenges, commercial strategies, and international competition shaping planetary robotics.
From MIT roots to Roomba dominance and financial crisis, this deep dive traces iRobot’s rise, missteps, and lessons for today’s home robotics industry.
Why the emergency stop button may increase risk for humanoid robots. An expert analysis of E-Stop design, safety standards, and controlled stopping.
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