Hitbot releases universal embodied intelligent operating system HITBOT OS, reshaping the robotics industry landscape
Against the backdrop of the rapid development of embodied intelligence, the importance of robot operating systems as the core support of intelligence has become increasingly prominent. At present, robot development generally faces problems such as high degree of customization, high R&D costs, and long cycles, which lead to insufficient intelligence and versatility, making it difficult to cope with complex scenarios, and seriously restricting the large-scale development and ecological prosperity of the robot industry.
Recently, Gemini Robotics launched by Google DeepMind and “Huisi Kaiwu” released by the national team are both aimed at solving the problems of versatility and generalization, and also highlight the strategic value of this field. In this context, Hitbot launched its self-developed HITBOT OS operating system, which realizes the intelligent mapping of task semantics to action instructions through the “Thousand Machines and Thousand Faces” architecture, and has achieved remarkable results in multi-configuration compatibility and generalization of complex scene tasks, solving the long-standing pain points of the industry, such as lack of versatility and difficulty in generalization application, and is expected to become the “Android system” in the field of robots, promoting the popularization and application of embodied intelligence.
1.Intelligent agent platform based on distributed AI
HITBOT OS is an intelligent agent collaborative platform developed by Hitbot based on the distributed AI architecture, which adopts the “brain-cerebellum” double-layer cognitive architecture to achieve an intelligent closed loop. Its “brain” layer deeply integrates industry knowledge base and artificial intelligence algorithms, integrates cross-industry process data through a distributed learning framework, and completes advanced cognitive decisions such as semantic analysis and strategy deduction; the “cerebellum” layer converts decision instructions into precise action execution through real-time motion control and multimodal feedback adjustment systems. This architecture breaks through the limitations of traditional single-body intelligence, and uses decentralized computing power scheduling and dynamic task orchestration technology to achieve autonomous collaboration of heterogeneous equipment clusters.
The platform relies on the generalization capabilities of distributed AI to support customers to quickly develop intelligent entities in segmented industries. Through multimodal data fusion interfaces and adaptive ontology mapping technology, the system is compatible with complex physical environments such as industrial manufacturing, scientific experiments, and service scenarios, and realizes a full-process closed loop from task semantic understanding to cross-ontology execution.
Its core value lies in: the cross-scenario generalization system built on the collective intelligence evolution mechanism can not only reduce deployment costs through the “thousand machines with thousands of faces” architecture, but also ensure execution accuracy through real-time feedback adjustment, providing a scalable technical foundation for the large-scale commercialization of embodied intelligent devices.
2.Human-computer dialogue, multimodal interaction
【Natural language driven industrial programming】
HITBOT OS can generate graphical codes based on natural language, and users can also directly operate the movement of robots and other components through natural language, realizing true “zero threshold” programming. This interactive method breaks the dependence of traditional automation on professional programming, realizes the seamless connection between natural language and graphical programming, and compresses the traditional programming development that takes several days to complete to tens of minutes, significantly reducing the technical barriers to automation deployment and redefining the human-computer interaction mode of robot operation.
【Image-guided cross-modal generation solution】
Users can also upload a design sketch, and HITBOT OS extracts geometric features and functional intent through the image parsing engine, automatically generates a 3D engineering plan in combination with the physical simulation engine, and outputs the electrical diagram of the device simultaneously. The system uses the “perception-cognition-generation” closed loop to open the link from two-dimensional images to three-dimensional execution, showing the innovative value of multimodal interaction in agile manufacturing and providing real-time response capabilities for flexible production.
3.Generalized ontology
【Generalization of tasks across ontologies】
In different hardware collaboration scenarios, HITBOT OS parses the semantic instruction of “grabbing the water bottle” into different motion parameters according to the perceived ontological objects through the task abstraction layer, generates the optimal control strategy in real time, and realizes efficient collaborative operation of different ontological devices. This strategy breaks through the dependence of traditional systems on specific devices, demonstrates powerful cross-entity generalization capabilities, and also realizes the universality of the “semantic-action” decoupled architecture, providing flexible solutions without secondary development for mixed-line production, heterogeneous equipment and other scenarios, greatly improving the deployment efficiency of multi-machine collaborative systems.
4.Complex task execution
【End-to-end intelligent experiment closed loop】
5.Intelligent APP ecosystem driven by industry brain
HITBOT OS embodied intelligence platform takes the industry brain that has been accumulated in the application field for many years as the core base, deeply integrates hundreds of experimental processes, equipment protocols and safety specifications in biochemistry and other fields, and builds an extensible intelligent development platform. The platform provides a low-code visual programming interface and a pre-set industry equipment library (supporting more than 300 industry equipment protocols such as pipetting workstations, centrifuges, PCR, etc.), and has built-in Hitbot full-matrix automated motion components (robotic arms, grippers, electric cylinders, push rods, etc.), and also supports adding custom devices. Developers can quickly build solutions through drag-and-drop components to create intelligent APPs in subdivided fields.
6.Leading a new paradigm of embodied intelligence
【Two APP applications in different industries】
The release of HITBOT OS embodied intelligence platform marks a key leap from “single-point intelligence” to “system intelligence” in the robotics industry. By building a closed technical loop of “industry brain-distributed architecture-intelligent body ecology”, Hitbot is redefining the interaction logic between robots and the physical world – using the operating system as a fulcrum to promote the evolution of robots from “functional equipment” to “intelligent body”.
In the future, we will continue to deepen the accumulation of industry knowledge and the integration of AI technology, jointly build an industrial ecology with global developers, and help partners accelerate the popularization of embodied intelligence in the fields of industry, scientific research, and services, so that machines can truly become an extension and enabler of human exploration of the physical world. This intelligent revolution driven by the operating system is opening a new era of human-machine symbiosis.