Recently, Galileo Robotics officially launched its all-terrain mobile intelligence platform—the Galileo X Embodied Ground Mobility System. Leveraging its proprietary multi-form adaptive switching technology, the system breaks through the scene- and form-related barriers of traditional robots, effectively addressing the pain points of automation implementation in the industry and accelerating the commercialization of embodied intelligence worldwide. For a long time, poor environmental adaptability has been the core bottleneck hindering the widespread adoption of mobile robots globally. Traditional wheeled, tracked, and quadruped robots each have their own shortcomings and cannot simultaneously meet the diverse demands of high-precision indoor transport, long-distance heavy-load transport outdoors, and obstacle navigation across complex terrain. The industry generally requires the procurement of multiple types of robots to work in...
UBTECH Robotics has signed a strategic memorandum of understanding with the Government of Ras Al Khaimah’s Office of International Relations to establish a comprehensive cooperation framework for advanced humanoid robot research and development, real-world testing and system deployment, and to advance development and application of humanoid robot technologies suited to the Gulf region. The signing was attended by Sheikh Saud bin Saqr Al Qasimi, Supreme Council Member and Ruler of Ras Al Khaimah; Mohamed Abdulrahman Al Hawi, Undersecretary of the UAE Ministry of Investment; Ouyang Yongqin, advisor for Greater China affairs at the Ras Al Khaimah Ruler’s Office; Zhang Ju, chief financial officer of UBTECH Robotics; and Chen Xiaoyun, overseas sales director of UBTECH Robotics. Under the plan, UBTECH will...
Singapore-based embodied AI startup Ropedia said it has released Ropedia W0, a cross-embodiment mobile manipulation world model developed with researchers from Nanyang Technological University, Duke University, the University of California San Diego and Tsinghua University. The model uses a unified action representation to predict first-person future scene changes after actions by humans, robotic arms and humanoid robots, allowing one model to cover different robot embodiments. Ropedia said W0 ranked first across five evaluation benchmarks and 11 tests. In the Ψ₀ and ω-HOME benchmarks, W0 outperformed comparison models trained on full data without post-training, the company said. On the DreamDojo official benchmark, W0 exceeded DreamDojo trained on full data using only 1% of post-training data. The model takes initial frames, text...
WorldOracle, which its developers describe as the first benchmark for action-driven world models that uses real-world execution as the yardstick, launched on Oct. 16 and opened evaluation submissions to developers. The project was jointly completed by researchers from AGIBOT, NVIDIA, Princeton University, the University of Texas at Austin and the University of Toronto, combining world-model developers with benchmark researchers. The platform addresses a question the industry has lacked a benchmark to answer directly: given a set of actions, how far is a model’s predicted future from what actually happens? WorldOracle defines this as “Execution Coherence.” The researchers said a reliable world model must withstand three stress tests: causal obedience, meaning it must follow the given action sequence, including wrong or...
SoftBank is considering an acquisition of Allied Universal that would value the security services company’s equity at up to $18 billion, with talks still at an early stage. The potential deal is linked to Masayoshi Son’s robotics investment push. Reuters reported that SoftBank hopes robots will eventually take on some security duties and replace some employees. Allied Universal has about 800,000 employees worldwide and annual revenue of about $23 billion, according to information the company disclosed this year. It operates in more than 100 countries and serves more than 400 Fortune 500 companies across commercial real estate, healthcare, manufacturing, transportation and data centers. In January, SoftBank led a $1.4 billion Series C funding round for Skild AI, valuing the robot-model...
ACE Robotics has released a visual-spatial grounding-enhanced embodied foundation model, ACE-Brain-0.6, and said the 9-billion-parameter system outperformed OpenAI’s GPT-6 Astra on six of eight grounding benchmarks. The company said the model is designed to improve target identification, spatial localization and interaction anchoring—capabilities it described as critical for translating high-level task reasoning into reliable physical action. It builds on the earlier ACE-Brain-0.5 and focuses on visual grounding: identifying target objects, interaction areas and spatial references, and linking them to position, displacement and motion parameters. In seven public benchmarks, ACE-Brain-0.6 averaged 74.53 points versus 73.68 for GPT-6 Astra, according to the company. It said the model beat GPT-6 Astra on six of eight evaluations, including Where2Place (76.55 vs. 71.10), PixMo-Count (89.41 vs....
GEWUAI, a Chinese embodied brain company, has completed an angel financing round of nearly 100 million yuan, the company said. Investors included Peak Investment, Hongfu Asset, Hangzhou Capital, Hangzhou Talent Group, a provincial-level embodied AI industrial investment platform and several leading listed companies. Proceeds will be used mainly for large-scale pre-training and technology iteration of its Physical Inversion World Model, hardware and robot body development, talent recruitment and team expansion, and PoC validation and real-world data collection across multiple scenarios. Maple Pledge served as exclusive private equity financing adviser for the round. GEWUAI is based in Hangzhou and was founded in August 2026. Its first round was backed by three Hangzhou municipal-level funds: Hangzhou Runmiao Fund, Hangzhou Disruptive Technology Transformation...
Tesla Inc (TSLA.O) on Friday unveiled the second-generation Roadster, an electric sports car equipped with a cold-gas propulsion system developed with SpaceX and a fan-based downforce system that the company said can allow brief lift-offs and aerial maneuvers. Tesla called it “the last best driver’s car.” At a special event at SpaceX’s test site in McGregor, Texas, CEO Elon Musk and his team demonstrated the car. Tesla said the original 2008 Roadster had one goal: to prove electric vehicles could be fast, sexy and desirable. The second-generation model, it said, marks a new moment: the best among the last human-driven cars. The Roadster first drove onto a C-shaped ramp and stopped midway on the vertical section, hanging upside down. It...
Shenzhen-based robot brain developer Ruoyu Technology said it has raised more than 100 million yuan in a Pre-A funding round led by Sunway Communication, with Jinmu Capital, Qindao Capital, Huanghai Capital and Zhongchuang Capital participating. The proceeds will mainly fund upgrades to its Ruoyu Jiutian robot brain and expand its ecosystem partnerships, the company said. Founder and CEO Sun Teng is a serial entrepreneur whose research focuses on multimedia computing. Founder and Chairman Nie Liqiang is director of the Information Department at HIT Shenzhen. Co-founder and Chief Scientist Zhang Min is specially appointed assistant to the president of HIT Shenzhen, dean of the Institute of Computing and Intelligence, and a professor at the School of Computer Science and the Institute...
EY and Fudan University unveiled the winners of the 2026 Most Promising Enterprises awards, an annual selection programme themed “Breakthrough · Forging Ahead — Shatter shackles with hardcore innovation, iterate and pilot the future”. The initiative targets homegrown hard-tech innovators that deliver tangible commercialisation results, balancing technological breakthrough capacity with industrial influence. RoboScience, the Chinese embodied AI firm, was named a 2026 EY Most Promising Seed Enterprise for its leading robotics technology portfolio. Embodied artificial intelligence is moving toward large-scale commercial deployment as a key driver of new-quality productivity, addressing real-world industrial and societal pain points. For embodied AI developers, long-term potential lies not merely in completed task benchmarks, but in the model’s capability to adapt across different robot hardware...
