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Cinnamon 1 is a next-generation humanoid robot designed by Tokyo-based Donut Robotics. It aims to assist in industrial, security, and service roles. Cinnamon 1 uses advanced gesture control and AI to work with people in noisy or quiet environments. The robot signals a new era of human-robot interaction and future workplace automation.


CLOiD is LG’s service-oriented humanoid robot platform designed for public and commercial environments. Instead of focusing on extreme mobility, it prioritizes interaction, reliability, and safety. CLOiD represents LG’s vision of practical robots that assist people in everyday spaces rather than replace them.


the Clone Alpha represents a significant advancement in humanoid robotics, combining biomimetic design with advanced artificial muscle technology to closely emulate human anatomy and movement. Its development marks a step forward in creating robots capable of performing complex tasks with human-like dexterity and fluidity.



The Cruzr S2 is a full-sized, wheeled humanoid robot developed by UBTECH Robotics for industrial and commercial automation. It features a high 15kg payload capacity, advanced “Human-eye” Binocular Stereo Vision, and specialized gen-4 dexterous hands capable of sub-millimeter precision, making it ideal for factory sorting and assembly tasks.


Xiaomi’s CyberOne is an advanced humanoid robot showcasing AI and robotics expertise. Standing 1.77 meters tall, it features the Mi-Sense AI system, enabling it to recognize emotions, perceive surroundings, and respond to human interactions. With 21 degrees of freedom and rapid response times, CyberOne is physically agile, making it suitable for various tasks in both industrial and domestic environments. Xiaomi sees CyberOne as a foundation for future robotics, envisioning a world where robots seamlessly integrate into daily life.


CyberOne V2 is a humanoid robot by Xiaomi designed to understand human emotions and environments while demonstrating balanced movement and natural interaction.


Model-based RL agent that learns directly from image observations on real robots with a world model; no sim-to-real needed




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