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Ziyuan Robotics patented a training method for robot motion control models. It optimizes parameters by comparing actual and expected contact sequences, using swing excitation values. Expected sequences are derived from phase variables and gait mapping, improving motion precision and stability.....

Only 20% of German employees received AI training, with 70% never trained, risking EU AI Act violations. Bitkom warns firms must ensure AI skills for all workers, as AI boosts efficiency but needs proper use. 14% fear job loss to AI, 1/3 see AI replacing bosses.....

Ziyuan's robot Lingxi X2-N features dual-mode design: wheeled for mobility and legged for obstacle-crossing, carrying 6kg. It adapts to complex terrains with excellent balance and load capacity.....

Large Language Models (LLMs) have achieved significant progress in complex reasoning tasks by combining task prompts with large-scale reinforcement learning (RL), as demonstrated by models like Deepseek-R1-Zero, which directly apply reinforcement learning to base models, showcasing strong reasoning capabilities. However, this success is difficult to replicate across different base model families, especially within the Llama series. This raises a core question: what factors lead to inconsistent performance of different base models during reinforcement learning? How does reinforcement learning perform in

In a recent major announcement, the global e-commerce and cloud computing giant Amazon revealed two important milestones in its robotics and artificial intelligence (AI) fields: the launch of a new AI foundation large model called Deep Fleet, and the successful deployment of more than one million robots. The launch of the Deep Fleet model aims to enhance the intelligence and efficiency of Amazon's largest industrial mobile robot fleet. The application of this model is expected to improve the operational efficiency of the robot fleet by 10%, thereby accelerating...

According to NetEase Technology, JD.com's layout in the field of embodied intelligence is accelerating rapidly. The embodied intelligence brand JoyInside under JD.com has reached cooperation with more than ten leading robot companies, becoming the core engine for JD.com to seize the smart robot market. According to insiders, JoyInside is supported by JD's large model technology, focusing on providing smart interaction capabilities between robots and consumers. Its product strategy focuses on scenario-based applications such as one person, one dog, and one toy. Since its launch, the brand has successfully attracted leading enterprises from multiple niche fields to join.

Recently, the social media platform X announced a new feature that allows developers to create AI robots capable of writing community notes. These AI robots will be able to submit community notes on users' posts, but these notes will only be displayed if they are deemed helpful by users with different perspectives. X Platform stated in its community notes account that AI-written notes will be clearly marked, and in the initial phase, AI will only be able to write notes on posts where users request them. According to X Platform's support page, AI note writers

Hengbot officially launched its latest Sirius robot dog. This robot dog not only excels in agile movement but also integrates OpenAI's large language model, enabling voice conversations, even dancing and kicking football. It is truly a multi-talented 'pet'! According to Hengbot's introduction, the Sirius robot dog has the ability to 'move quickly'. It can dance to the rhythm of music and even shake hands with its owner. Its legs and head are equipped with 14 motion axes, as well as

On June 26th, during the Tianjin Summer Davos Forum today, Wang Xingxing, CEO of Unitree Robotics, shared the company's impressive growth journey with attendees. According to AIbase, Wang revealed that Unitree Robotics, which started as a one-person company since its establishment in 2016, has now grown into an industry giant with nearly a thousand employees and annual revenue exceeding 1 billion yuan. Wang's speech highlighted the remarkable progress made by Unitree Robotics in just nine years, showcasing its strong capabilities and market influence in the robotics field.

Google DeepMind recently published a blog post, officially introducing the new Gemini Robotics On-Device localized robot AI model. The model uses a vision-language-action (VLA) architecture, enabling precise control of physical robots without cloud support. The biggest highlight of the new model is that it runs entirely locally on the robot device, achieving low-latency response capabilities. This feature makes it particularly suitable for environments with unstable network connections, such as critical application scenarios like medical facilities.