大晓机器人推出ACE具身研发范式 加速具身智能在安防、巡检等场景落地

Daxiao Robotics has launched innovative technologies to accelerate the deployment of embodied intelligence in security, inspection, and other scenarios.

1. The ACE embodied development paradigm enables the collection of tens of millions of hours of environmental data annually, supporting minute-level complex tasks like warehouse sorting. It covers 10+ perspectives and 8 data modalities, improving interaction accuracy to sub-pixel level.

2. The Kaiwu World Model 3.0 is open-source and commercially available, integrating physical laws and human behavior to achieve understanding-generation-prediction functions, addressing data scarcity and generalization challenges.

3. The A1 embodied super-brain module, based on a pure vision model, adapts to dynamic environments without pre-mapping, enabling autonomous inspection and obstacle avoidance. It has been applied in retail and home scenarios.

4. Application cases include full-process sorting in instant retail warehouses and fresh produce grasping, covering 150+ intelligent scenarios with partners like Zhiyuan Robotics and SenseTime.

The technology offers new insights for brand product development and consumer trends.

1. Brand marketing can leverage data collection to capture natural user behavior and item interaction patterns, aiding in designing more user-centric products, such as refined operations in retail settings.

2. Product development benefits from the Kaiwu World Model 3.0, enhancing user experience—for example, by replicating fresh produce grasping tasks—and strengthening brand competitiveness in smart devices.

3. Consumer trends show growing demand in security and inspection scenarios, creating partnership opportunities with leading firms like Insta360 and Tencent Cloud to expand channels and reduce R&D costs.

4. User behavior observations inform brand pricing strategies; model optimization helps address price competition, such as by improving warehouse efficiency to cut operational expenses.

Embodied intelligence presents market growth opportunities and collaboration models.

1. Growth markets include security, energy, and cultural tourism, where high device reliability is demanded. The A1 module ensures long-term stable operation, offering sales potential.

2. Opportunities involve ecosystem partnerships, such as strategic ties with Zhiyuan Robotics and Moore Threads, to co-create solutions and expand business scope.

3. Risks like data scarcity have been mitigated by the ACE paradigm; key takeaways include using the Kaiwu model to enhance generalization and address dynamic environment challenges.

4. Emerging business models involve platform recruitment, such as cloud service collaborations to lower costs for SMEs, with support policies enabling rapid industry adaptation via data vendor resources.

The technology provides commercial opportunities for production design and digitalization.

1. Production needs highlight the scalability of data collection, advancing from hundreds of thousands to tens of millions of hours. This optimizes manufacturing processes like atomic action tracking, boosting precision.

2. Business opportunities include hardware partnerships, such as with Wolong Electric Drive, to enhance data acquisition capabilities and expand into security and inspection equipment markets.

3. Digitalization insights: The Kaiwu World Model 3.0 addresses common sense gaps, aiding automated task design. E-commerce applications, like warehouse sorting, reduce labor costs.

Industry trends and solutions for client pain points.

1. Industry trends indicate accelerated adoption of embodied intelligence, with ecosystem synergy involving chip and cloud service providers to build end-to-end technical systems.

2. Innovations include the ACE R&D paradigm, which disrupts traditional logic, and the Kaiwu World Model 3.0 enabling multimodal understanding-generation-prediction to enhance data value.

3. Client challenges like poor generalization and limited versatility are resolved by the A1 module, which offers autonomous action capabilities. Solutions use cloud-based instruction parsing to execute complex tasks like obstacle avoidance.

The platform's role in the ecosystem and latest practices.

1. Commercial demands on platforms include computing power scheduling and data processing. Collaborations with cloud providers like SenseTime's AI Infrastructure and Volcano Engine reduce R&D costs and support SMEs.

2. Recent platform practices involve partnership recruitment, such as with data vendor Cupath to improve model generalization, and operational management building perception systems across 10+ industries.

3. Trend adaptation uses the Kaiwu model to support domestic chips like Moore Threads for performance gains; platform needs are met through hardware like Insta360 for dynamic scene capture.

Industry developments and research implications.

1. Industry trends: Embodied intelligence is entering an acceleration phase, with breakthroughs like the ACE paradigm addressing data dimensionality, reshaping global competition.

2. New challenges include common sense disparities and generalization issues. The Kaiwu World Model 3.0 offers a unified framework, highlighting the need for policy support for domestic chip adaptation.

3. Business models emphasize ecosystem collaboration with embodied intelligence firms and hardware partners to drive scenario-based deployment; research insights focus on how data collection efficiency impacts industry standardization.