7results about How to "Improve task execution efficiency" patented technology

This invention provides a method and system for collaborative environmental monitoring and pollution source tracing using UAV swarms in complex terrain, relating to the fields of UAV environmental monitoring and pollution source tracing. The method includes: a ground control center planning layered and altitude-based tasks for the target area and sending them to each group containing master and sub-UAVs; the master UAV decomposing and encoding the sub-tasks and transmitting the results back; the ground-based optimization of flight paths being distributed; the sub-UAVs collecting pollution source data, which is then preprocessed by the master UAV and uploaded; ground-based analysis results being fed back; and the master UAV calculating the contribution value C using a source tracing model. en Once the source tracing is complete, the results are uploaded to the server, and the drone returns to base. The system includes a ground control center and at least one drone swarm; each swarm consists of a master drone and sub-drones. This invention can plan flight paths based on the geographical environment of the monitored target area, avoiding detection blind spots and conflicts, and coordinate actions based on the flight path, thus improving the convenience and accuracy of environmental monitoring and pollution source tracing.

This application discloses a control method, apparatus, self-moving device, storage medium, and program product for a self-moving device. The self-moving device is equipped with a robotic arm that acquires first position information of a target shoe to be grasped and first grasping position of the target shoe. Based on the first position information and first grasping position, the robotic arm of the self-moving device is controlled to grasp the target shoe. This application embodiment achieves the grasping of footwear objects by acquiring the first position information and first grasping position of the target shoe and controlling the robotic arm to grasp the target shoe based on this information. By using a robotic arm to grasp the target shoe, this application embodiment ensures that the self-moving device autonomously completes the grasping of footwear objects, thereby improving the task execution efficiency and the versatility of the self-moving device.

This invention provides a task execution method, apparatus, electronic device, and storage medium, relating to the field of embodied intelligence technology. The method includes: determining redundant feature components from the first task reference information based on the feature sources of feature components and the importance values ​​of each feature source, wherein the importance value of each feature source represents the magnitude of the influence of the feature component of that feature source on the successful output of the robot's expected action by the first VLA model; performing redundancy removal processing on the redundant feature components in the first task reference information to obtain processed first task reference information; inputting the processed first task reference information into the first VLA model to obtain the predicted action of the robot output by the first VLA model; and controlling the robot to execute the task based on the predicted action. Applying the solution provided by this invention can improve the robot's motion control frequency, thereby improving task execution performance.

The utility model discloses unmanned aerial vehicle task load replacement trolley, including trolley garage and electromagnet trolley, and trolley garage is equipped with an opening, and the inside bottom surface of trolley garage is equipped with guide recess and rack, and electromagnet trolley bottom is equipped with guide block, and guide block is inserted in guide recess, and electromagnet trolley is equipped with drive motor and gear inside, and drive motor drives gear rotation, and gear is engaged with rack and drives electromagnet trolley overall translation. Advantages lie in, through control electromagnet trolley on-off electricity, realize the adsorption and release of battery load, can quickly complete the loading and unloading and removal of battery load, and electromagnet trolley cooperates load tray and its track use, and this module structure is compact, and occupies small, can realize the quick disassembly and replacement of task load, significantly shorten the residence time of unmanned aerial vehicle in the nest, improve task execution efficiency.

The application discloses a device resource application method and device, an electronic device and a storage medium. The method comprises the following steps: determining a single container demand quantity for a GPU resource card indicated by a task request in a current task request set; determining a whole machine card quantity of a GPU device in a device cluster; based on the whole machine card quantity and the single container demand quantity indicated by the task request, constructing a task request group in which the sum of the indicated single container demand quantities matches the whole machine card quantity, so as to apply for corresponding GPU device resources based on the task request group. The application can guarantee that the whole machine resources are applied to the device as much as possible at the task request level, thereby reducing the GPU resource cards in the form of fragments, effectively guaranteeing the device resource utilization rate and load balancing. Especially for the case where the task request is sufficient, the task execution efficiency can be improved.

This invention discloses a deployment and retrieval device and method for unmanned surface vessels (USVs), belonging to the field of USV technology. The device includes a rope thrower, a tow rope, a rotating drum reversing mechanism, a first rotating drum, a second rotating drum, a first clamping mechanism, a second clamping mechanism, a davit docking device, an automatic rope reeling device, and a towed load. The rope thrower is mounted obliquely on the USV. The rotating drum reversing mechanism drives the first and second rotating drums to swing in opposite directions. The first and second rotating drums rotate synchronously to retrieve the tow rope. One end of the tow rope is fixedly connected to the automatic rope reeling device, and the other end passes through a sub-docking device, then sequentially through the first and second clamping mechanisms to connect with the towed load. The towed load, under the action of the throwing device, throws the rope towards the mother ship. This invention not only enables multiple rope throws, reducing the difficulty of rope throwing, but also overcomes the problem of unmanned surface vessel attitude being difficult to control and unable to dock quickly and accurately in high sea states, avoiding the need for personnel to personally board the vessel for docking, effectively improving operational safety.

The application provides an adaptive pathfinding method for unmanned aerial vehicle clusters, specifically including task initialization and environment perception, path planning based on bionic intelligence, multi-vehicle cooperation and dynamic adjustment. The method designs an information pheromone updating strategy with variation mechanism and dynamic obstacle avoidance capability, making the path search more adaptive and stable. At the communication level, a decentralized communication architecture is adopted between unmanned aerial vehicles, supplemented by a cloud synchronization mechanism, to realize real-time sharing of task information and efficient adjustment of path schemes. The pathfinding method is applicable to various practical scenarios, including post-disaster search and rescue, ecological environment monitoring, and large-area inspection, and has good scalability and robustness, effectively addressing the challenges brought by dynamic environments and task changes.