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ACE ROBOTICS open-sources ACE-Ego-Hand for 3D hand reconstruction from egocentric video, claims 45 benchmark wins - RobotHOT

ACE ROBOTICS open-sources ACE-Ego-Hand for 3D hand reconstruction from egocentric video, claims 45 benchmark wins

ACE ROBOTICS, in collaboration with the Chinese University of Hong Kong’s Multimedia Laboratory and Nanyang Technological University, has open-sourced ACE-Ego-Hand, a 3D dual-hand shape reconstruction model designed for first-person video, generating approximately 5,000 hours of training data that could serve as a foundational dataset for embodied AI model training. The model extracts structured 3D bimanual manipulation trajectories from massive egocentric video footage, translating human grasping, assembly and hand-coordination actions into machine-learnable data. It marks the first time a video generation model has been repurposed as a DreamHand encoder for end-to-end training, outputting hand pose, shape and 3D position in a single forward pass without frame-by-frame detection or temporal regression. Efficiency gains over traditional approaches Unlike previous hand models reliant on...

Briefs

  • Chinese service robots draw spotlight at IFA 2026 with laundry, climbing and gardening capabilities

    Chinese companies showcased a range of service robots at the IFA 2026 consumer electronics fair in Berlin, drawing attention as the integration of artificial intelligence with multiple technologies enables robots to penetrate deeper into daily life and diverse application scenarios, with wheeled service robots capable of recognising, sorting, washing and folding garments, a climbing cleaning robot using bionic tracks and 3D perception to navigate between floors, and a lawn-mowing robot equipped with a robotic arm for clearing obstacles, picking fruit and watering plants – illustrating how Chinese manufacturers are expanding robotic functionality beyond single-purpose automation toward multi-task household and commercial environments.

  • HiDream.ai launches embodied world model HiDream-O1-Embodied, tops RoboColiseum robustness leaderboard

    HiDream.ai has released HiDream-O1-Embodied, an embodied world model built on a native full-modal architecture that unifies image, video, 3D and action signals into a single representation framework to enhance robotic physical perception and dynamic prediction capabilities, the company said, marking a strategic step toward building a unified world model foundation that bridges understanding, reasoning and execution across modalities; concurrently, the model made its debut on the embodied AI evaluation platform RoboColiseum – a simulation-based benchmark featuring 78 high-fidelity tasks across instruction following, spatial understanding, robustness and general manipulation – and topped the Robustness sub-leaderboard with an average score of 0.692, a category widely regarded as the most challenging for testing stability and generalisation under non-ideal conditions such as altered lighting, camera shifts, material changes and varied instructions.

  • RoboMIND open-source dataset hits 20 million downloads, tops industry rankings

    RoboMIND, an open-source dataset released by the Beijing Humanoid Robot Innovation Center, powered by the "WISE KAIWU" platform, has surpassed 20 million global downloads within a single month – doubling its previous figure – while ranking first among industry peers in both download volume and market delivery capability. The center said, as the dataset, first released in December 2025, has made available over 300,000 bimanual manipulation trajectories covering more than 700 practical tasks for global developers to accelerate embodied AI perception, motion control algorithm development and scenario validation, backed by the center's long-established embodied AI robotics data and training base.

  • SENAD raises nearly 200 mln yuan in fourth funding round in six months

    SENAD, a Chinese robotics company focused on logistics loading and unloading, has raised nearly 200 million yuan in a new funding round from Wuliangye Fund, China-US Venture Capital, Xingzheng Investment and Zhechuang Technology, marking its fourth financing round in six months. The influx of capital reflects growing investor conviction in "scenario-driven" AI applications in industrial logistics, as the embodied robotics sector shifts from proof of concept toward large-scale deployment and loading and unloading emerges as a key battleground for both manufacturers and investors given its clearly defined pain points and commercial path, the company said.

  • ASD warns on share volatility, says new embodied AI robot business in early stage

    ASD Co., Ltd. said in a stock exchange filing that its shares had surged more than 20% over two consecutive trading days on Sept 3 and Sept 4, triggering an abnormal fluctuation alert, while clarifying that its newly launched embodied intelligence robotics collaboration project remains in a nascent stage with revenue of only 137,200 yuan ($19,000) and is not expected to have a material impact on this year's financial results, as the company reported a net loss of 93.4 million yuan for the six months ended June 30 on operating revenue of 1.351 billion yuan, with cookware and small appliances accounting for 84.46% of total revenue and industrial robots contributing 12.20%, while the robotics partnership is a newly explored business facing uncertainties in technology iteration, project implementation and commercialisation.

  • Simple AI secures hundreds-of-millions-yuan Pre-A round to advance embodied robot development

    Chinese general embodied AI robotics developer Simple AI has closed a multi-hundred-million-yuan Pre-A financing round backed by investor Kexi Capital and other institutional backers. Positioned as an AI-native embodied intelligence system provider, the firm has launched an in-house data production engine that has processed over 20,000 hours of robotic scenario data. From August 19 to 23, its new-generation service robot Xiaopu successfully completed a wide range of household workflows and fine manipulation tasks in hotel settings, demonstrating steady progress in real-world embodied AI deployment.
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