5results about How to "Shorten the learning cycle" patented technology

The invention relates to the technical field of robots, in particular to a humanoid robot motion control learning method, a chip and electronic equipment. According to the technical scheme, environmental parameters are acquired in real time; and generating a current environment feature vector and an initial operation vector. And searching and matching from the cloud motion database to obtain an optimized operation vector. And dynamically correcting the initial operation vector to obtain an optimal operation vector. And sending an instruction corresponding to the optimal operation vector to a driving module of each moving part, and executing a corresponding moving action. And integrating the environment parameters, the environment feature vectors and the optimal operation vectors which are executed successfully, and uploading the integrated environment parameters, the integrated environment feature vectors and the integrated optimal operation vectors. According to the method, the environmental adaptability of the robot is remarkably improved, the motion stability in a complex scene is improved, the learning efficiency is greatly improved, the learning period is shortened, the control precision and safety are enhanced, the operation safety of the robot in the complex environment is improved, the expansibility is high, and the requirements of humanoid robots of different specifications can be met.

This application discloses a method for distinguishing left and right positions using a movable rear-seat control screen for vehicles, relating to the field of rear-seat control screen technology. The method includes the following steps: obtaining connection status information between the movable rear-seat control screen and the base of the rear door interior panel control screen; the connection status information includes the conduction status between the positive power port and the ground port, and the conduction status between the positive signal port and the negative signal port; and basing the method on the conduction status between the positive power port and the ground port. This application achieves flexible handheld operation and a stable plug-and-play experience through a mobile phone-like movable control screen combined with a plug-in structure and contact connection design, reducing the barrier to entry and improving human-computer interaction efficiency. Simultaneously, it identifies left and right positions through contact conduction and maintains the determination result, combining a time strategy to achieve functional isolation and dynamic energy consumption management, meeting the needs of multi-user independent control and privacy.

This application relates to an intelligent simulation system and method. The intelligent simulation system includes at least: a simulation configuration specification generation system for generating a simulation configuration specification based on user-input simulation tasks; the simulation configuration specification describes simulation configuration information; a simulation task resource inference system for inferring the computational resources required to execute the simulation task based on the simulation configuration specification; a simulation orchestration system for determining a target solver from multiple solvers based on the simulation configuration specification, so that the target solver executes the simulation task based on the computational resources; and a simulation fault repair system for generating repair instructions and a diagnostic report when the target solver fails to simulate. Through multi-system collaborative coupling, the intelligent simulation system enables users to trigger the simulation workflow through natural language interaction, achieving end-to-end automation from mesh generation to solution analysis. This significantly reduces the user's familiarity with the underlying software operations and enables standardized delivery of simulation expert engineering capabilities.

This invention relates to the field of intelligent manufacturing technology, specifically disclosing an intelligent glass bottle packaging line operation management system. The system synchronously collects operational data from multiple production lines, including production status and material physical properties. By comparing real-time data with historical trajectories to identify collaborative deviation patterns, iteratively generates local control commands. These commands and key feature data are encapsulated into standard encrypted units using homomorphic and standard encryption, and uploaded to a central node for homomorphic aggregation and decryption analysis without decryption, constructing and continuously updating a centralized experience knowledge set. When a production line processes new materials, optimized control commands under similar historical operating conditions are matched from this set based on the material's physical parameters. After virtual simulation and physical security verification, these commands are deployed to the main process. Based on feedback from the actual effects of command application, the historical association weights in the knowledge set are corrected using confidence weighting. This invention achieves adaptive and reliable control of production lines for variable materials and secure evolution of global knowledge.

The invention relates to the technical field of computer-aided teaching, discloses a piano music expression teaching method and system based on emotion calculation, remarkably improves scientificity and effectiveness of piano music emotion expression teaching, effectively solves the problem that art intentions are difficult to quantitatively teach in traditional teaching, and improves the teaching efficiency. By constructing a music semantic association network fused with music theory logic, the system breaks through a semantic gap between an abstract music text and a specific acoustic signal, realizes accurate mapping from a recessive emotional artistic conception to a dominant playing technique, and utilizes a cross-modal joint semantic space and a reverse parameter analysis technology to realize accurate mapping of the music semantic association network. According to an emotion background of a target track, a high-dimensional artistic concept can be automatically decoupled into executable physical control parameters such as key touch force and time value deviation, and personalized guidance with clear operation directivity is provided for students.