26 results about "Robot scheduling" patented technology

The application relates to a kind of multi-robot scheduling control methods based on roundabout movement and deadlock prevention, comprising: constructing annular buffer and dynamic circulation path between picking station and storage area, and modeling finite state machine for dynamic behavior of robot, to obtain the finite state machine model corresponding to different robots;Based on the finite state machine model of robot, combined with resource allocation constraints and preset operation constraints, the multi-robot scheduling strategy is output by executing roundabout movement scheduling algorithm, to control the working state of each robot accordingly.Compared with the prior art, the application can dynamically guide the robot to move in order along the circulation path between the picking station and the storage area, and can actively prevent deadlock, effectively solving the limitations of traditional scheduling strategy in deadlock prevention, resource utilization and efficiency improvement.

This invention belongs to the field of intelligent robot inspection technology and discloses an artificial intelligence robot scheduling and inspection method. The specific steps are as follows: First, a three-dimensional scene model of the inspection area is constructed; then, the robot collects on-site data from multiple sources, and performs noise reduction, feature extraction, and standardization at the edge; next, anomalies are identified and task priorities are assigned through edge AI; subsequently, the scheduling platform combines genetic algorithms and A* algorithms to achieve multi-machine task allocation and conflict-free path planning; real-time obstacle avoidance and collaborative scheduling are performed during inspection; finally, the inspection data is fed back in a closed loop to iteratively update the scene model and scheduling strategy. Through global task balanced allocation and conflict-free path planning, path intersections, duplicate inspections, and inspection blind spots are effectively eliminated, improving robot resource utilization. From the perspective of scheduling mode and collaborative operation, it solves the problems of rigid scheduling and chaotic multi-machine cooperation in traditional systems, comprehensively improving the response speed and overall efficiency of inspection operations.

This application provides a bin management method, system, device, electronic device, and storage medium, relating to the field of robot scheduling. The bin management method includes: when preset management trigger conditions are met, selecting a target bin for allocation to a target bin handling robot, which is to be positioned; based on the target bin handling robot and the target bin's location in the target storage area, executing a sorting task for the target bin; the sorting task includes: scheduling the target bin handling robot to the target storage area, controlling the target bin handling robot to perform a retrieval action on the target bin at the target storage area, and after the retrieval action is completed, performing an action to place the target bin into the storage area. This solution provides a foundation for reducing the bin retrieval failure rate without affecting inbound and outbound operations.

This invention discloses a traffic control method and system for an inspection robot and an electric shuttle bus. The method includes: S1. collecting laser ranging data of the wheel axle cross-section of the electric shuttle bus; S2. performing large-step sliding median filtering; S3. filtering valid data segments containing axle data; S4. extracting valid data segments and performing small-step sliding median filtering on them; S5. calculating the mode of the amplitude in the valid data segments and replacing abnormal amplitudes exceeding a preset threshold with the mode; S6. identifying abrupt change points in the wheel axle profile in the valid data segments; S7. filtering abrupt change points; S8. calculating the position and forward speed of the electric shuttle bus; S9. transmitting the position and forward speed of the electric shuttle bus to the robot scheduling system; S10. making traffic control decisions based on the real-time position and speed prediction results of the electric shuttle bus and the real-time task path of the robot. This invention has advantages such as improved operational efficiency and safety.

This application provides a robot scheduling method, apparatus, medium, and program product to improve the coordination accuracy of a robotic arm and a dexterous hand. The method includes: acquiring N combinations of operational positions for at least one dexterous hand, where each N combination indicates an operational position corresponding to N operational time points; determining the target path and velocity distribution of the robotic arm based on a pre-constructed target model and the N combinations of operational positions; the target model includes operational constraints that can be solved mathematically for each collaborative operational target object of the dexterous hand and the robotic arm; and determining the motion trajectory of the robotic arm based on its target path and velocity distribution, thereby scheduling the robot according to the robotic arm's motion trajectory. This method, by constructing a collaborative operational target object for the dexterous hand and the robotic arm and operational constraints that can be solved mathematically, can achieve precise matching between the microscopic operational positions of the dexterous hand and the macroscopic motion positioning of the robotic arm.

The application relates to the technical field of industrial automation, and discloses an energy management method and device of a robot, a server and a storage medium. The energy management method comprises the following steps: acquiring residual power information of each robot in a target site; in the case that it is determined according to the residual power information that the residual power of any one robot is less than a first power threshold, controlling the robot to enter a first sleep mode, wherein the robot in the first sleep mode stops participating in task execution; in the case that it is detected that there is a free charging position in the target site, awakening the robot in the first sleep mode according to the free charging position, and dispatching the awakened robot to the corresponding free charging position for charging. The method can realize that a robot with low power does not cause task interruption or operation abnormity due to insufficient power, and greatly improves the safety and stability of operation.

The application relates to a smart factory robot scheduling method and system, a terminal and a storage medium, and relates to the technical field of smart factories. The method comprises the following steps: receiving a task instruction from a production management system, and adding the task instruction to a task pool; obtaining running state information of robots in the smart factory; selecting at least one task instruction from the task pool, and filtering candidate robots for executing the task instruction and generating a candidate robot set according to a matching relationship between a task type of the task instruction and a robot state; calculating a task completion time of a to-be-scheduled task for the to-be-scheduled task; comparing and analyzing each candidate robot in the candidate robot set based on the task completion time, and determining a target robot for executing the to-be-scheduled task; and distributing the to-be-scheduled task to a task queue of the target robot. The application has the effect of improving the problem of low task completion efficiency caused by unreasonable robot scheduling.

The application is suitable for the field of computer technology, and particularly relates to a method for scheduling robots to perform tasks, which comprises the following steps: in response to a user instruction for indicating a target task, generating a task sequence of at least one subtask corresponding to the target task; assigning a robot capable of performing each subtask to each subtask to obtain a robot scheduling strategy; controlling the robot corresponding to each subtask to perform the corresponding subtask; in the case that an abnormal working state of a first robot is detected, determining a first target subtask from the task sequence; and updating the robot scheduling strategy according to the first target subtask to obtain an updated robot scheduling strategy. Through the decoupled task planning and resource scheduling architecture, the target task can be dynamically decomposed and intelligently assigned to a heterogeneous robot group, optimization is realized in the aspects of dynamic fault tolerance and precise collaborative control, and the work efficiency, robustness and automation level of the multi-robot system in a complex scene are comprehensively improved.

A robot scheduling system, which relates to the technical field of logistics, and is used for solving the problem of the logistics efficiency of a warehousing system not being high. The system comprises a scheduling device and a rack (101), wherein the rack (101) corresponds to a plurality of transfer robots (102); the scheduling device is in communication connection with the plurality of transfer robots (102); and the scheduling device is configured to control, upon receiving an order instruction for instructing the transfer of goods in a target rack area, a transfer robot (102) corresponding to the target rack area to operate, the target rack area is one of a plurality of rack areas which are obtained by means of partitioning the rack (101) in the lengthwise direction and / or the depthwise direction of the rack (101) on the basis of attribute information of the rack (101) and / or a placement rule for goods on the rack (101), and one rack area at least corresponds to one transfer robot (102). Further provided are a robot scheduling method and a storage medium.

The invention relates to the field of robot scheduling, in particular to a resource collaborative scheduling method and system for multi-model beverage robots. The method comprises the following steps: collecting multi-batch beverage making tasks; carrying out equipment resource conflict identification based on the multi-batch beverage making tasks, and generating equipment resource conflict data; collecting real-time operation states of the plurality of beverage robots; performing state analysis according to the real-time operation state, and constructing a global working state diagram; performing overlapping degree calculation on the equipment resource conflict data to generate time sequence conflict points of the same equipment resource; performing collision risk quantification based on a global working state diagram and the time sequence conflict points to obtain a conflict task risk sequence; and performing multi-robot action scheduling planning on the conflict task risk sequence, and constructing an action collaborative scheduling strategy. According to the invention, through action cooperative scheduling, the resource utilization efficiency, the operation safety and the overall operation efficiency of the multi-model beverage robot are effectively improved.

This application relates to the field of robot scheduling, providing a method, system, and storage medium for scheduling elevator robots. The method includes: upon determining that a cross-floor task has been acquired, the elevator robot requests the right to use a target elevator and proceeds to the target elevator; upon determining that the right to use the target elevator has been acquired, the priority of the elevator robot is adjusted; upon determining that the elevator robot triggers scheduling with other robots, scheduling is completed according to the priority and information of each robot. By flexibly adjusting the priority of elevator robots based on their occupation of the target elevator, and completing the scheduling between robots according to priority and information of each robot, it is beneficial to reduce the occurrence of collisions and jamming among robots, and improve safety and efficiency in multi-robot scenarios.

A robot scheduling system, which relates to the technical field of logistics, and is used for solving the problem of the logistics efficiency of a warehousing system not being high. The system comprises a scheduling device and a rack (101), wherein the rack (101) corresponds to a plurality of transfer robots (102); the scheduling device is in communication connection with the plurality of transfer robots (102); and the scheduling device is configured to control, upon receiving an order instruction for instructing the transfer of goods in a target rack area, a transfer robot (102) corresponding to the target rack area to operate, the target rack area is one of a plurality of rack areas which are obtained by means of partitioning the rack (101) in the lengthwise direction and / or the depthwise direction of the rack (101) on the basis of attribute information of the rack (101) and / or a placement rule for goods on the rack (101), and one rack area at least corresponds to one transfer robot (102). Further provided are a robot scheduling method and a storage medium.

The present application relates to the technical field of unmanned coal mine transportation, in particular to a coal mine transportation robot scheduling and path optimization method based on roadway terrain identification, comprising the following steps: S101: acquiring roadway point cloud and vision data in real time; S102: extracting floor terrain feature parameters; S103: constructing and updating a multi-dimensional terrain risk cost map; S104: receiving a transportation task and calculating robot fitness score; S105: performing path search based on improved A* and terrain cost; S106: detecting whether there is a multi-machine path conflict; S107: starting a time-space window-based cooperative avoidance mechanism; S108: issuing path instructions and performing autonomous transportation; S109: making local dynamic adjustments to the path according to real-time feedback. Through the combined perception of the explosion-proof laser radar and the depth camera, the present application realizes the real-time and accurate collection of the roadway terrain in the coal mine underground high-dust and low-light environment.

The application discloses a robot scheduling method and device, equipment and storage medium, and belongs to the technical field of robot control. The method comprises the following steps: issuing a task to a robot, wherein the task comprises path station information and station action information; wherein the path station information comprises whether the station has a regulation attribute; receiving an inquiry request of the robot entering a target station with the regulation attribute; judging whether the station is contained in a regulation station set; if yes, sending a rejection instruction to the robot in a waiting state. The technical scheme can solve the interference caused by network delay, and can release the same-direction robot. The operation efficiency of the robot is improved, so that the time and labor costs are reduced.

The application provides a community outside unmanned delivery method and system based on internal security authentication, a community outside unmanned delivery system based on internal security authentication, constructs a "perception-transmission-processing-execution-user" full-link collaborative architecture, and solves three problems of "external robot without repeated authentication entering a community", "one-kilometer range accurate scheduling" and "internal and external permission linkage". The "cloud-edge-end" collaborative architecture is adopted to realize full-process automation of "order initiation-supermarket warehousing-robot scheduling-community entry-unit delivery-user pickup". Through "internal linkage authentication", repeated permission recognition of the robot entering the community from the outside is realized, genetic algorithm is combined to optimize task scheduling, A* algorithm is improved to optimize path planning, and the delivery efficiency and safety are improved. Part of the functions of traditional takeout (community delivery within one kilometer) is replaced, automation and precision of community delivery are realized, and more convenient and safer delivery services are provided for users.

This application provides a robot dispatching method and apparatus. According to the method of this application, a first robot is controlled to move to a second workstation and to place a required container of a second order to the second workstation after the first robot places a required container of a first order to the first workstation, so that the first robot can perform an operation of depositing containers across workstations during a single task of transporting containers. In this way, as many containers as possible can be placed on the workstations in the single task of transporting containers, which reduces times of retrieving and returning containers, thereby improving the overall efficiency and performance of an intelligent warehousing system.

This application relates to the fields of smart home and wireless power transmission technology, and discloses a method for multi-device power sharing and robot scheduling optimization for smart homes. The method includes: a terminal device calculating a service interruption risk index based on the estimated peak current of the service task and the DC internal resistance of the power supply battery; when the risk index exceeds a safety threshold and the task is latency-tolerant, the task is suspended and external power is requested; otherwise, a degraded parameter set is invoked for operation. A server schedules a mobile robot to the target area based on a global energy efficiency topology. The mobile robot performs fine-tuning alignment using the reflected impedance gradient and provides accompanying power to the terminal device through a magnetic coupling channel, while simultaneously monitoring changes in the transmitter's input impedance to identify the task completion status. This invention solves the undervoltage lockout problem in battery aging scenarios through proactive risk prediction and multi-modal handling strategies, and achieves high-precision physical alignment and non-intrusive power supply control without visual assistance.

An intelligent construction robot system having a learning module that performs machine learning based on point cloud data and building information data during a machine learning phase to generate a building model and store it; and a judging module that evaluates the similarity between the point cloud data and each of the building models during a machine interpretation phase to determine whether to use the building model with the highest similarity or to generate another building model, and the judging module generates a construction schedule corresponding to the building model.

A robot collision detection method and apparatus, and a device and a program product. The method comprises: calculating contour spaces of a first robot and a second robot during motion; and on the basis of whether there is an overlap between the contour spaces of the first robot and the second robot during motion, predicting whether the first robot collides with the second robot during motion. Therefore, whether robots collide with each other during motion can be detected more accurately, and the method is applicable to a warehousing system in which the robots can move up and down in the vertical direction, such that the accuracy of robot collision detection is improved, thereby improving the efficiency of robot scheduling.

This invention relates to the field of scheduling technology and discloses a scheduling method and system for automated warehousing and handling robots in cross-border e-commerce. The system includes: a region marking unit constructing a multi-level channel topology based on the structural parameters of the warehousing area; a travel determination unit determining the corresponding target work position node in the multi-level channel topology and combining and matching the pose information with the multi-level channel topology; determining a starting node with the same direction as the target work position node from the set of starting nodes; determining the travel link based on the topological relationship between intermediate nodes and adjacent channels; a travel obstacle avoidance unit determining the channel occupancy segments in the boundary constraint area; inserting transition segments in the travel link based on the distribution of the channel occupancy segments; and a scheduling and handling unit establishing a link association table for overlapping node segments, converting the priority queue into a synchronous scheduling sequence and distributing it to each robot. This invention ensures the reliability of the scheduling of the handling robots.

The present disclosure relates to the technical field of robot control, and provides a method and device for scheduling a faulty robot, an electronic device and a computer readable medium. The method comprises: determining whether a faulty robot needs to be replaced based on received fault feedback information of the faulty robot; in response to a need for replacement, obtaining fault to-be-delivered task information of the faulty robot and position information and non-fault to-be-delivered task information of at least one non-faulty robot; determining a target replacement robot based on the fault to-be-delivered task information and the position information and non-fault to-be-delivered task information of the non-faulty robot; and controlling the target replacement robot to execute the fault to-be-delivered task information to complete a delivery task. The method not only ensures normal delivery of to-be-delivered orders of the faulty robot, but also saves manpower, realizes delivery of faulty orders without manual assistance through linkage between robots, enhances reliability and delivery efficiency of a logistics delivery robot, and reduces failure rate and delay rate of order delivery.

The application discloses an intelligent mobile robot, a robot system and a robot scheduling method and device, wherein the intelligent mobile robot comprises a first chassis and a storage mechanism arranged on the first chassis, the storage mechanism comprises at least two layers of cargo carrying members arranged at intervals in a height direction, the cargo carrying members are used for docking with a second goods shelf, and through a transfer operation performed on the second goods shelf by a docking robot, the target goods can be integrally transferred between the cargo carrying members and the second goods shelf, and the docking efficiency is greatly improved; then, the docking robot can integrally move the second goods shelf, the number of carrying times is reduced, and the carrying efficiency is improved.