Significant progress has been made recently in Pudong's embodied artificial intelligence sector.
A key development involves the release of the world's first end-to-end motion foundation model, which fundamentally redefines the control capabilities of humanoid robots from the ground up in terms of movement intelligence.
Concurrently, a robotics company has secured hundreds of millions in yuan in funding and swiftly entered into a comprehensive strategic partnership to accelerate the large-scale application of robots.
The dual thrust of core technological breakthroughs and commercial application in humanoid robotics is helping Pudong rapidly establish a complete pathway from research and development to service and application, accelerating its build-out as a hub for the embodied AI industry.
Foundational Motion Intelligence Upgraded: World's First End-to-End Motion Foundation Model Released
A company has officially launched the world's first end-to-end Motion-Between BFM-2 motion foundation model, representing a comprehensive upgrade to the underlying motion intelligence of humanoid robots.
The BFM-2 model introduces, for the first time in a large-scale full-body motion foundation, an end-to-end DOF Feather Motion Generator generative training mechanism.
By performing continuous probabilistic modeling of the robot's full-body dynamic state space, it has created the world's first motion foundation model capable of recovering from any current state to any random target configuration.
This model breaks through the previous bottleneck of "pre-set trajectory, passive execution" in humanoid robot motion control.
Through its novel generative motion architecture, it endows humanoid robots with human-like motion reasoning and full-state autonomous generation capabilities, redefining the technical benchmark for embodied AI motion control.
Unlike traditional robots that replicate tele-operated actions one-to-one and rely on manually designed transition trajectories, the BFM-2 model possesses genuine motion reasoning capabilities.
Relying on its unique two-stage Motion-Between architecture, it first autonomously recognizes its own real-time dynamic state and parses high-level task intent, then independently deduces the complete evolution path from the current state to the target state.
This achieves an innovation from "action replication" to "motion reasoning."
Furthermore, in contrast to traditional robot motion control which has only limited state fall-recovery capability, the BFM-2 model is the first to achieve generative motion inference and dynamic configuration re-planning for the full state space.
The industry views the BFM-2 model as the first to give robots a motion "cerebellum" foundation with true generalization and generative capabilities.
It is reported that BFM-2 will be further upgraded to BFM-3, expanding the motion foundation model's input from pure proprioceptive state to incorporate higher-dimensional multimodal states such as vision, touch, speech, spatial semantics, and environmental topology.
This evolution from a "generative generalized motion foundation" to a "multimodal motion foundation" aims to truly build an embodied motion center that integrates spatial perception and multimodal understanding.
Robotics Company Secures Funding and Partners to Accelerate Large-Scale Application
A robotics firm recently announced the completion of its Series A and A+ funding rounds, raising a total of several hundred million yuan.
Following this round, the company's valuation has reached 7 billion yuan, officially placing it among unicorn companies.
The company stated that the funds will be primarily used for building its RaaS (Robot as a Service) system and expanding into industrial and other scenarios.
The goal is to advance robots from being used at events into real-world settings closer to production and operations, such as industrial manufacturing, park management, warehousing and logistics, and commercial services.
The CEO of the company revealed that the challenge in deploying robots in real scenarios is not just about "having the machines," but about forming stable, replicable application delivery capabilities.
Particularly in industrial and park settings, clients are focused not on short-term demonstration effects, but on whether robots can operate continuously, be dispatched on demand, maintained promptly, and create tangible value in specific tasks.
Having been established for less than half a year, the company has already built its RaaS application service platform, successively launching core systems and functional modules including a partner SaaS platform, a global app, intelligent dispatch, and a skill store.
These provide the foundational support for cross-regional robot dispatch, standardized delivery, and multi-scenario operations.
To date, the platform can dispatch over 4,000 robots, with its service network covering multiple cities across the country.
It has already accumulated significant delivery experience in scenarios such as cultural tourism, commercial performances, exhibitions, retail, office environments, and education.
Subsequently, the company announced a comprehensive strategic partnership with JD.com.
The two parties will engage in deep cooperation around co-building product solutions, empowering channel supply chains, and large-scale procurement.
In the core leasing segment, the robotics company will open an official flagship store on JD.com, further expanding the online entry point for robot rental services.
They will collaborate on supply chain coordination, online transactions, offline delivery, and operational services to advance robot leasing from single-point services towards more standardized, platform-based application delivery.
To meet the needs of industry clients, the company will also continue to coordinate with JD.com on product co-development, focusing on diverse scenarios like education, guided tours, and cleaning to jointly create customized solutions and service ecosystems better suited to real application demands.
At the channel and procurement level, the two will leverage JD's comprehensive online traffic platforms and offline formats like JD MALL to implement application scenarios, and promote large-scale procurement and scenario-based application deployment in suitable contexts.
The robotics company stated that this strategic partnership is a significant attempt to deepen the RaaS model.
It will continue to launch customized solutions for different clients and scenarios, aiding the large-scale deployment and popularization of the robotics industry.
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