en.Wedoany.com Reported - Recently, Daimon Robotics completed a hundred-million-yuan Series A funding round, jointly invested by Inovance Technology's industrial fund, Inovance Industry Capital, and China Telecom. This round of financing will be used to further build a large-scale dataset containing physical interaction information, support the research and development of physical world models, and form a data flywheel and business closed loop around real physical scenarios.
The funding direction of Daimon Robotics points to the most scarce underlying resource in the current embodied intelligence industry: real physical interaction data. Compared to text, image, and video data, the data required for robot training must not only record "what was seen" but also capture force, slippage, deformation, friction, trajectory, failure causes, and operational feedback during contact. In scenarios such as industrial assembly, logistics sorting, laboratory automation, medical care, and home services, a large number of tasks are not simple grasping but involve insertion, screwing, pressing, poking, lifting, handling flexible objects, and manipulating small components. Without sufficiently rich tactile and physical interaction data, it is difficult for robot models to move from demonstration to stable operation, and to form generalization capabilities across different objects, materials, and environments. Daimon Robotics' current round of financing continues to invest in datasets and physical world models, indicating that its technical roadmap is extending from tactile hardware and dexterous manipulation to the data infrastructure of embodied intelligence.
Daimon has previously released the Daimon-Infinity, a tactile full-modal physical world embodied dataset, and has been advancing in areas such as tactile perception, dexterous hands, teleoperation acquisition systems, and visuo-tactile language operation models. The injection of funds from industrial capital and the telecommunications operator system will provide stronger resource support for its subsequent large-scale data collection, model training, and real-world scenario validation.
The participation of Inovance Industry Capital and China Telecom also gives this funding round a more pronounced industrial synergy attribute. Inovance Technology has long been deeply involved in industrial automation, with its business covering control, drive, servo, industrial robots, and intelligent manufacturing scenarios. The involvement of its industrial fund in the investment is conducive to Daimon Robotics further integrating tactile perception and dexterous manipulation capabilities into industrial production lines, precision assembly, and flexible manufacturing needs. China Telecom, on the other hand, possesses resources in cloud, network, computing power, data, and industry customers, offering infrastructure advantages in robot remote control, edge computing, data collection, model training, and industry scenario deployment. For Daimon Robotics, the physical world model requires not only laboratory data but also continuous feedback from real-world scenarios; the combination of industrial capital and operator resources helps to form a closed loop connecting hardware collection, model iteration, scenario validation, and commercial delivery.
After the completion of this funding round, Daimon Robotics' subsequent focus will be concentrated on three aspects: first, expanding the scale of data containing tactile and physical interaction information to enhance the robot operation model's understanding of the real world; second, promoting the physical world model from single-point tasks to generalized training across multiple scenarios, objects, and tools; third, accelerating the commercial validation of tactile grippers, dexterous hands, teleoperation systems, and robot operation models in scenarios such as industry, logistics, and scientific research experiments. As embodied intelligence moves from being "able to move" to "able to work," tactile data, physical interaction models, and reproducible evaluation systems will become key capabilities for robot companies to cross the threshold of industrialization.
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