BridgeDP's dual tech debuts, reshaping generic robot motion development

The multi-day 2026 World Artificial Intelligence Conference (WAIC) concluded in Shanghai. At this event, BridgeDP made an appearance at Booth H4-056, showcasing its two core technological achievements: the brand-new RoboCraft AI and self-developed cross-embodiment general motion tracker.

With its smooth and highly interactive live demonstrations, BridgeDP captured immense attention, attracting many manufacturers, cultural tourism operators, research institutions, and industry investors for exchange, highlighting the company's technical strength and leading edge in core humanoid robot motion control.

RoboCraft AI

Empowering Multi-Scenarios in Simple Steps, Rapidly Building Top-Tier Motion Capabilities

The booth set up an interactive demo area, focusing on RoboCraft AI platform's core abilities in motion creation, application orchestration, and multi-model deployment. This platform is a motion development suite refined through extensive real-world experience, built to solve high development barriers, difficult adaptation, low motion reuse, and slow deployment, addressing both maturation-application and base motion-control needs.

Currently, online registration on the RoboCraft AI platform is fully open; visit the official website robocraftai.cn to use it.

For mass-produced models on the market like Unitree G1 and Zhiyuan X2, RoboCraft AI offers a rich out-of-the-box motion library and complete toolchains for motion development, supporting orchestration and fleet control. Meanwhile, the platform supports uploading MP4 videos or importing BVH files to extract personalized motions, enabling zero-code design accurately fitting tourism, commerce, venues, science museums, and other commercial scenes, greatly reducing R&D costs.

For robot developers building new proprietary models, RoboCraft AI provides URDF validation, hardware safety checks, and auto-tuning, helping them construct stable, secure motion control systems in a short period, drastically shortening R&D cycles and lowering costs to support iterative product design, mass production, and field applications.

"Avatar": Cross-Embodiment General Motion Tracker

Cross-Embodiment, Highly Stable, Low Latency

In addition to the software platforms, BridgeDP's live real-time teleoperation demonstration also became a key highlight, representing one of the core technical barriers the company has accumulated in whole-body motion control.

This live demo was conducted in partnership with Weiqing Smart Technology (Shanghai) Co., Ltd. (the domestic authorized strategic partner of the international motion capture brand Movella Xsens), utilizing its high-precision MoCap hardware to showcase the algorithmic power of BridgeDP's self-developed cross-embodiment general motion tracker.

Most current algorithms in the industry only fit a single model, suffering from poor dynamic adaptation and weak environmental anti-interference, making high-quality cross-embodiment tracking difficult. Addressing these issues, BridgeDP developed a general motion tracker based on dynamics optimization, reinforcement learning, and real-world data loopback, achieving breakthroughs in cross-model universality, low latency, and high robustness.

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The demo intuitively conveyed the company's core algorithmic strengths in cross-embodiment whole-body motion control, proving to the industry the potential of "low-barrier robot application development" and "one motion suite, multiple brands and models reused."

The successful conclusion of WAIC 2026 not only showcased BridgeDP's cutting-edge achievements but also provided a vital opportunity to connect with the industry ecosystem, resource networks, and validate market value. Through RoboCraft AI and the motion tracker, BridgeDP showcased solid underlying technical strengths and a commitment to enabling application innovation.

Looking ahead, BridgeDP will continue to strengthen its core humanoid whole-body motion control, iteratively optimizing RoboCraft AI platform features, and basing on this to build a general robot operating system with motion capability as its core foundation, empowering robot enterprises to reduce costs, boost efficiency, and drive the standardized development of embodied intelligence.