60results about "Position/course control in two dimensions" patented technology

The invention discloses a transformer substation switch box operation mobile robot, a working method and a system, and belongs to the field of the mobile robots. The transformer substation switch box operation mobile robot comprises a robot body, a mobile platform, a mechanical arm, a two-dimension code scanner, a power supply management system, a motion control system and a visual sensing system, wherein the mobile platform is arranged at the lower part of the robot body, and is a crawler-type mobile platform; the power supply management system and the motion control system are arranged in the robot body; the mechanical arm is mounted above the robot body; the visual sensing system is mounted above the tail end of the mechanical arm; and the two-dimension code scanner is arranged under the robot body. The transformer substation switch box operation mobile robot has the characteristics of high precision, stability in operation, safety, reliability, etc., can realize the effect of artificial intelligence operation, and can replace humans to realize the effect of standard operation.

The invention relates to an uncalibration machine vision-based intelligent navigation control system and an uncalibration machine vision-based intelligent navigation control method, and belongs to the technical field of automation and detection. In order to overcome the disadvantage that whether a technical effect is good or bad depends on uncalibration parameters in a conventional scheme, in vision system-based mobile robot real-time obstacle avoidance and a navigation control method in the technical scheme of the invention, an image is automatically acquired and analyzed for the purpose of realizing the control of a mobile robot platform; the image is processed rapidly from image feedback information obtained directly by utilizing the principal of machine vision; and feedback information is given in a time as short as possible for participating in the generation of a control decision so as to form the position closed-loop control of an end effector of the mobile robot. The scheme improves the adaptability and the work efficiency of a robot, effectively maintains the speed and the precision in an image processing process, enhances the robustness and the stability of a robot control system, and reduces cost input and energy consumption in an implementation process of the technical scheme.

The invention provides a multi-time-varying formation tracking control method and system for a network heterogeneous robot system, and the method comprises the following steps: obtaining the movementtracks of a plurality of tracking targets, and determining the position data of the plurality of tracking targets; establishing a kinematic model for the plurality of tracking targets to obtain speeddata and acceleration data of the plurality of tracking targets at each control moment; according to a traditional Lagrange kinetic equation, establishing a kinetic model for the multiple network heterogeneous robots; acquiring a communication topological relation between a plurality of network heterogeneous robots and a plurality of tracking targets, and designing a hierarchical cooperative controller of a network heterogeneous robot system in combination with a kinetic model on the premise of meeting the communication topological relation, thereby realizing multi-time-varying formation tracking control of the network heterogeneous robot system. The technical scheme provided by the invention has the beneficial effects that the control of a plurality of leaders is realized, and a pluralityof tasks are processed at the same time.

A system and method for implementing a neural network based vehicle dynamics model are disclosed. A particular embodiment includes: training a machine learning system with a training dataset corresponding to a desired autonomous vehicle simulation environment; receiving vehicle control command data and vehicle status data, the vehicle control command data not including vehicle component types or characteristics of a specific vehicle; by use of the trained machine learning system, the vehicle control command data, and vehicle status data, generating simulated vehicle dynamics data including predicted vehicle acceleration data; providing the simulated vehicle dynamics data to an autonomous vehicle simulation system implementing the autonomous vehicle simulation environment; and using data produced by the autonomous vehicle simulation system to modify the vehicle status data for a subsequent iteration.

The application relates to the technical field of computer vision, and discloses an obstacle avoidance reminding method, a related device and a computer readable storage medium. According to the obstacle avoidance reminding method, the related device and the computer readable storage medium, ground detection is carried out according to acquired image data to acquire ground information of a road; according to the acquired ground information, the traffic condition of the road is determined; if the road is determined to be impassable, road condition detection is carried out on the road to obtaina first detection result, and obstacle detection is carried out on the road to obtain a second detection result; and according to the first detection result and the second detection result, obstacle avoidance reminding information is determined. Ground detection is carried out through the acquired image data, path detection is carried out on the basis of the ground detection, and road condition detection and obstacle detection are carried out under the condition that the road is determined to be impassable to determine the obstacle avoidance reminding information so that users can quickly andsafely pass through the obstacle.

The invention discloses an intelligent following mobile device, which comprises a mobile body with power drive, a UWB base station, two communication antennas and a shielding cover, wherein the UWB base station is arranged on the mobile body and synchronously steers along with the mobile body and is in wireless signal connection with a UWB signal label arranged on a target tracking object; the twocommunication antennas are arranged on the UWB base station and are used for directionally detecting the orientation of the UWB signal label in a trusted precision detection area of the UWB base station; and the shielding cover is arranged on the UWB base station and is used for shielding wireless signals in an untrusted precision detection area of the UWB base station. When the mobile body is steered, the UWB base station can be driven to synchronously steer, so that the orientation of the UWB signal label relative to the UWB base station can be directionally detected by the two communication antennas of the UWB base station, and the interactive cooperation performance of intelligent following mobile device is improved.

The invention relates to a soil pollution treatment method and equipment. The method is used for the soil pollution treatment equipment. The method comprises the steps that moving to a target position is conducted according to a specified motion track; soil environment data of the target position are detected; a pollution repairing strategy at least corresponding to a pollution diagnosis result determined according to the soil environment data is obtained; and in terms of the pollution repairing strategy, pollution repairing operation is executed in the target position. According to the soil pollution treatment method and equipment, environment pollution status real-time monitoring and in-situ rapid repairing can be achieved simultaneously, and pollution dispersion and continuous damage to the environment are avoided. Rapid response, including entering into a pollution site timely to detect pollution status and conduct rapid repairing treatment on the pollution site, to emergent environment pollution accidents can be achieved; and furthermore, a pollution site where people cannot enter easily can be subjected to pollution detecting and repairing.

The invention discloses a carrying robot operation control method, a device and a robot and relates to the technical field of robots. The method comprises steps of according to the operation distance of a left driving wheel, the operation distance of a right driving wheel and a preset operation track, determining a following error of the left driving wheel and a following error of the right driving wheel; generating a left driving wheel position adjusting instruction and a right driving wheel position adjusting instruction; and sending the left driving wheel position adjusting instruction and the right driving wheel position adjusting instruction to a first servo driving system and a second servo driving system, thereby reducing operation deviations. According to the invention, operation of two independent motors is simultaneously controlled based on the following errors of the left and right driving wheels; the independent control of the motors is changed into coupling control, so effects on operation of the carrying robot imposed by dynamic features of motors are reduced; operation track precision of the carrying robot is improved; and stability of the operation of the carrying robot is improved.

An automatic traveling servo charging platform for an electrical vehicle comprises a central control unit, power storage/generation unit, communication unit, positioning and navigation unit, charging component and automatic driving unit. The automatic traveling servo charging platform tracks a vehicle to be charged and can charge an electrical vehicle while the electrical vehicle is traveling. A servo charging delivery system comprises a control center and multiple automatic traveling servo charging platforms, and provides a charging service for multiple electrical vehicles. The servo charging delivery system can provide a charging service for electrical vehicles in a timely manner, and free the electrical vehicles from the dependency on a fixed charging station, thus effectively increasing traveling capability of the electrical vehicles. The automatic traveling servo charging platform can track an electrical vehicle and charge the electrical vehicle during operation/motion thereof without waiting and interruption to the operation of the vehicle.

The invention relates to an intelligent wharf used for docking of an unmanned ship. The intelligent wharf comprises a ship house module, a control center, a server and an upper computer. The ship house module is used for docking of the unmanned ship, fault inspection of the unmanned ship and autonomous wireless charging of the unmanned ship. The control center is used for recognizing and guiding and controlling the unmanned ship to enter the ship house module, collecting the working data of the unmanned ship, uploading the working data of the unmanned ship to the server and receiving the instruction transmitted by the upper computer through the server and forwarding the instruction to the unmanned ship. The upper computer is used for setting the ship route and the water quality detection task of the unmanned ship and forwarding the set ship route and the water quality detection task to be control center through the instruction by the server and accessing the server. Compared with the wharfs in the prior art, autonomous charging of the unmanned ship can be performed so that the endurance capacity of the unmanned ship can be greatly enhanced; meanwhile, working data collection can also be performed so that personnel operation can be reduced and the manpower resources can be saved, the efficiency can be enhanced and the operability of the unmanned ship can be greatly enhanced.

The invention discloses a working method of a robot cleaner and belongs to the robot cleaner field. With the working method of the robot cleaner of the invention adopted, the problems of long waitingtime of a user and high power consumption of a robot cleaner in the prior art which are caused by a condition that the robot cleaner in the prior art needs construct an environmental map can be solved. According to the technical schemes of the invention, a user draws a virtual boundary on a display screen, and the robot cleaner converts the virtual boundary into a planned boundary, and then startswork planning according to the planned boundary. With the working method of the robot cleaner of the invention adopted, the user can be facilitated to operate the robot cleaner to perform cleaning work, and is not required to wait.

The invention provides a mobile robot path planning method based on a multi-core search improved grey wolf algorithm. The method comprises the following steps of acquiring a robot moving area map; according to the robot moving area map, establishing a target function for path planning of the moving area map; based on a grey wolf algorithm, initializing a grey wolf population position through Singer mapping, calculating a fitness value according to an objective function, and determining an optimal grey wolf position; updating the gray wolf position by adopting a multi-core search mode, and determining the updated optimal fitness value and the optimal gray wolf position; performing lens reverse learning on the optimal gray wolf position to obtain an updated optimal fitness value and an optimal gray wolf position, and taking the gray wolf position with the optimal fitness value before and after learning as the updated optimal gray wolf position; and determining an optimal path planning result according to the optimal gray wolf positions which are sequentially updated according to a preset maximum iteration number. According to the method, several defects of the grey wolf algorithm are overcome, and the path planning effect can be remarkably improved.

The invention discloses a dual-motor differential speed control system and method for a surface aircraft. The differential speed control system comprises a controller, two membrane pressure sensors, two signal conversion circuits, two electronic speed regulators, and two motors. The two membrane pressure sensors are installed below two button springs respectively and are used for collecting pressure values of the button springs; the output terminals of the two membrane pressure sensors are connected with the input terminals of the two signal conversion circuits. The output terminals of the twosignal conversion circuits are respectively connected with two AD input pins of the controller. The signal conversion circuits are used for converting the output signals of the membrane pressure sensors into voltage signals. The two control signal output ports of the controller are respectively connected with the input terminals of the two electronic speed regulators; and the output terminals ofthe two electronic speed regulators are connected with the two motors. With the dual-motor differential speed control system and method, the turning directions and speeds of the surface aircraft can be controlled simultaneously.

The present disclosure relates a moving robot and a method for controlling thereof, and specifically, the moving robot and the method are configured to monitor a cleaning area by taking images while moving a plurality of areas based on a map of the cleaning area, and monitor in a plurality of areas or a dedicated specific area, and monitor overall areas by taking images while rotating at a monitoring location by dedicating the monitoring location in the area, and set a specific location in an area as a monitoring location, and cause taking of images to be performed at a specific angle by dedicating a monitoring direction in the monitoring location, and perform monitoring of a plurality of areas with minimal movement, and perform an effective monitoring because taking images in a blind spot may be performed by changing the monitoring location or adding a monitoring location based on information on an obstacle, and set a schedule to perform monitoring at a dedicated time, and detect invasion by recognizing the obstacle through analyzing of the images, and output an alert message or signal if the invasion is detected, and transmit a signal or message associated with the invasion detection, and thus a security function can be strengthened.

The invention relates to a method and system for controlling automatic stop of a vehicle, and belongs to the technical field of automatic driving path planning. According to the method and system, byplanning multiple global inbound paths and selecting a corresponding inbound path for stop based on whether obstacles exist in each inbound path, the method and system not only ensure that the selected stop path is a global path, but also ensure that the selected stop path meets the requirements of collision-free, solve the problem of the unreasonable stop position and direction of the currently selected stop path, and optimizes the inbound path during the vehicle stop process.

An inspection device comprising a body that is adapted to receive and retain an item of inspection equipment, one or more wheels that are rotatably mounted to the body, one or more power sources that are adapted to rotate the one or more wheels, and a controller that is adapted to control the movement of the inspection device. A method further comprising controlling the movement of the inspection device relative to the storage device.

The invention relates to a pure-electric sanitation sweeping vehicle and an automatic driving system thereof. The automatic driving system comprises a power battery, a control module, a vehicle body peripheral obstacle detecting subsystem, a roadside distance detecting subsystem, an electric-control steering subsystem and a braking subsystem. The situation of obstacles around a vehicle body is detected by the vehicle body peripheral obstacle detecting subsystem, the distance between the vehicle and the roadside is detected by the roadside distance detecting subsystem, in the automatic drivingprocess, the vehicle is automatically controlled to travel according to the situation of the obstacles around the vehicle body and the distance between the vehicle and the roadside, when normal traveling of the vehicle is affected by the obstacles or the vehicle is too close to the roadside, the vehicle steering subsystem or the braking subsystem is controlled to achieve steering or decelerating of the vehicle, thus the obstacles are avoided or the distance between the vehicle and the roadside is increased, and safe and reliable operation of automatic driving is achieved. Therefore, automaticdriving control over the pure-electric sanitation sweeping vehicle can be achieved through the automatic driving system.

The invention discloses a multi-sensor self-advancing universal intelligent chassis. The multi-sensor self-advancing universal intelligent chassis comprises a chassis body, a sensing device, a plurality of fixing parts, a processing host and a positioning device, wherein the sensing device comprises infrared sensors, ultrasonic sensors and an image acquisition device, the infrared sensors and the ultrasonic sensors are arranged at the peripheral side edges of the chassis body, the image acquisition device is connected with the chassis body through a connecting portion, the connecting portion comprises a first mechanical arm and a second mechanical arm which are connected with each other, the first mechanical arm is connected with the side edge of the chassis body horizontally, the image acquisition device is arranged at the free end of the telescopic second mechanical arm, and the fixing parts are all positioned on the upper surface of the chassis body. The multi-sensor self-advancing universal intelligent chassis is reasonable in structure, useable independently, capable of detecting and recording unknown environment conditions and high in intelligent level without manual operation of the chassis body, and is also applicable to loading various transport articles.

The invention discloses a multi-agent finite time formation path tracking control system. The control system comprises a visual positioning system, a controller, a WIFI module and a plurality of mobile robots, and the visual positioning system uses a camera to identify positioning tags fixed on the mobile robots and sends state information of each robot to the controller; the controller calculates the output of the controller according to the relative position information among the robots obtained by the visual positioning system and a given formation target; the WIFI module transmits a control signal of the controller to the mobile robot; and the plurality of mobile robots adjust the wheel speed of the two wheels according to the received control signal to complete the formation task. The invention correspondingly provides a control method of the system. Input saturation constraints widely existing in a multi-agent system in an actual environment are considered, a single saturation function is introduced, and the convergence speed of multi-agent formation tracking is increased compared with a asymptotically stable method.