Maxwell smart: new Chinese embodied model tops global AI ranking on physical tasks
An SCMP report describes a new Chinese embodied AI model topping a global ranking on physical tasks, scoring 91.9 on the Meta-World benchmark. The posts contain no further specifics beyond the score and benchmark.
An SCMP report describes a new Chinese embodied AI model topping a global ranking on physical tasks, scoring 91.9 on the Meta-World benchmark. The posts contain no further specifics beyond the score and benchmark.
Google DeepMind released Gemini Robotics 2, a multimodal AI system that combines a vision language model and two vision language action models to control various robots, including humanoids. The system enables whole-body motions and dexterous tasks like screwing in lightbulbs and tying trash bags. One sub-model is publicly available for developers.
Google DeepMind released Gemini Robotics 2, a multimodal AI system that combines a vision language model and two vision language action models to control various robots, including humanoids. The system enables whole-body motions and dexterous tasks like screwing in lightbulbs and tying trash bags. One sub-model is publicly available for developers.
A new approach called Physical AI aims to simplify the deployment of industrial robots by integrating AI with physical systems. This could reduce the need for extensive programming and specialized expertise, making robotics more accessible to smaller manufacturers.
A new approach called Physical AI aims to simplify the deployment of industrial robots by integrating AI with physical systems. This could reduce the need for extensive programming and specialized expertise, making robotics more accessible to smaller manufacturers.
BrainCo launched an integrated AI platform that enables direct brain-to-robot control using EEG signals and machine learning. The platform translates neural activity into commands for robotic devices, aiming to assist people with paralysis or motor impairments. It uses LLMs for natural language interpretation of user intent alongside brain signals.
BrainCo launched an integrated AI platform that enables direct brain-to-robot control using EEG signals and machine learning. The platform translates neural activity into commands for robotic devices, aiming to assist people with paralysis or motor impairments. It uses LLMs for natural language interpretation of user intent alongside brain signals.
X Square Robot is a logistics robot that uses embodied AI to perform real-world operations. It leverages LLMs for reasoning and decision-making in dynamic environments, solving the problem of automating complex logistics tasks.
X Square Robot is a logistics robot that uses embodied AI to perform real-world operations. It leverages LLMs for reasoning and decision-making in dynamic environments, solving the problem of automating complex logistics tasks.