From:Internet Info Agency 2026-08-12 16:40:00
BridgeDP Robotics recently closed a Pre-A+++ round of financing exceeding RMB 100 million, led by China Mobile's Chain Leader Fund, with follow-on investments from existing shareholders Fosun Fortune and Shenzhen Capital Group. The proceeds will be used to advance its "General-Purpose Robot Operating System" strategy and accelerate product iteration and algorithm development. In June 2024, BridgeDP Robotics launched the RoboCraft AI platform, integrating motion control technologies, model algorithms, and Sim2Real engineering expertise accumulated from the development and deployment of over 50 robot models. This integration has established a standardized software development workflow. The platform currently supports robot models including Unitree G1, Agility X2, Zhongqing PM01, and Accelerated Evolution T1, offering rental companies, system integrators, and content teams an out-of-the-box application development toolchain that enables unified operations for motion customization, application orchestration, and real-robot deployment. Within one month of its beta launch, the platform has partnered with dozens of robot rental and performance enterprises nationwide, with multiple clients achieving self-service deployment and significantly improving their commercial performance development efficiency. RoboCraft AI also supports integration of proprietary robot models developed by OEMs, providing a standardized onboarding process that shortens the deployment cycle for new models’ motion capabilities. BridgeDP Robotics has already completed end-to-end (0-to-1) integration and adaptation of new robot models with multiple OEMs and joint module suppliers. Additionally, in early June 2024, BridgeDP Robotics completed construction and commenced operations of its cross-platform full-body motion data factory, which has already generated thousands of hours of high-quality training data validated through a comprehensive quality assurance pipeline. Equipped with BridgeDP’s proprietary cross-platform motion retargeting algorithm, the factory can rapidly adapt captured motion data to different robot models, enhancing data reusability and accelerating the training and validation of cross-platform motion control models.

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