17 results about "Teleoperated robot" patented technology

The invention discloses an underwater target identification and positioning method based on fusion of a physical model and deep learning, and belongs to the technical field of computer vision, and the method comprises the steps: carrying out the transmissivity estimation and physical restoration of a collected underwater monocular image according to an underwater light propagation model, and carrying out the image correction; key feature points are extracted, and high-quality matching point pairs are screened in combination with the joint similarity; further deriving a basic matrix through the high-quality matching point pairs meeting the epipolar geometric constraint relation, solving an essential matrix, and obtaining relative attitude parameters between the cameras in combination with weighted re-projection-LM optimization; and finally, refraction correction triangulation is carried out according to the Snell's law, pixel-level fusion is carried out after scale normalization and space alignment are carried out on the refraction correction triangulation and dense depth output by the MiDaS, three-dimensional space coordinates of the target are inverted, and high-precision recognition and positioning of the underwater target are achieved. The system is light in structure, efficient in calculation, suitable for being integrated on various underwater autonomous or remote control robot platforms and used for tasks such as target recognition, tracking and positioning.

This invention discloses an adaptive impedance control method and device for a teleoperated robot system. The method is based on a fuzzy logic-based intelligent control mechanism. It dynamically generates a correction update rate for online compensation adaptive terms through fuzzy inference, based on real-time acquired master-slave state information and preset control parameters. This correction update rate, real-time state information, and preset parameters are integrated, and the core dynamic equations of the preset impedance control model are solved to calculate the robot's target position within the current control cycle. This method, based on the robot following the operator's hand movements, superimposes a position compensation amount optimized by the adaptive impedance control model. When problems such as operator hand tremor or network transmission delay cause a sudden increase in contact force, making it impossible to effectively track the desired contact force, the adaptive impedance control device adjusts the contact force, achieving refined teleoperation control.

This invention relates to the field of intelligent manufacturing equipment technology, specifically to a digital twin control method for teleoperated robots that integrates biopharmaceutical cleaning standards. The invention determines spatial constraints based on the distance between the robot's current end-effector position and a restricted boundary, sequential constraints based on the current area and cleaning standards, and temporal constraints based on the time interval between historical cleaning operations and the current time, as well as the distance between the operation position and the current end-effector position. This comprehensive approach determines the intensity of regulatory conflicts and the dominant direction of constraints at the robot's end-effector. Then, by combining this with the robot's desired end-effector speed, the probability of operational conflicts is determined to intervene and correct the robot's operational commands. This invention constructs a digital twin dynamic field integrating three-dimensional constraints of space, sequence, and time, and improves the compliance and effectiveness of digital twin control for teleoperated robots in biopharmaceutical workshops by quantifying the probability of conflicts between operational intentions and cleaning standards.

A submarine cable salvage method, using an underwater remote control robot to carry a clamp to hold the cable, and then releasing a composite rope, a mushroom anchor, a cable salvage hook and the like for recycling the cable clamp into water, the mushroom anchor is not in the same time with the cable clamp and the underwater remote control robot, compared with the prior art, can avoid binding the rope on the umbilical cable of the underwater remote control robot, does not need to operate the underwater remote control robot and the cable clamp connected with the umbilical cable and its rope at the same time, greatly reduces the risk of rope winding with the umbilical cable, the three times of diving of the underwater remote control robot are separately diving and operating, greatly reduces the operation requirements of the deck operator and the ship operator, and reduces the operation risk of the underwater remote control robot. In addition, the ship operation is more free, mainly considering the influence of the blow flow, if the blow flow is opened, the risk will be smaller.

The invention discloses a control method, device and equipment of a guniting robot and a medium. The residual path length of a target roadway is determined through a guniting robot so as to determine the guniting operation progress of the target roadway, and a plurality of side wall sub-areas needing guniting are determined based on an initial roadway side wall image collected at each target position point in an image recognition mode so as to generate a plurality of area spraying control parameters for spraying control. And identifying a guniting completion state based on the acquired target roadway side wall image, and when guniting on the roadway side wall area of the target position point is completed, continuing to advance to the next target position point to execute guniting operation until the guniting operation is completed, so that a manual guniting mode or a mode of manually controlling the remote control robot is not needed, and the guniting efficiency is improved. The self-adaptive guniting operation is carried out on the target roadway through the guniting robot, flexibility and convenience are achieved, the guniting operation efficiency of the target roadway is improved, the operation duration is shortened, and the guniting operation progress of the target roadway is improved.

This utility model belongs to the field of river dredging technology and discloses an explosion-proof underwater dredging remote-controlled robot. The utility model includes a robot body, which includes a support plate. The upper surface of the support plate is equipped with a discharge component for cleaning river silt and a second crushing component. The front of the support plate is equipped with a first crushing component for breaking the overall structure of the silt. The front end of the first crushing component is engaged with a flow guide component for guiding the air bubbles blown out by the first crushing component. An air supply component for supplying air to the first crushing component is installed on the outer surface of the first crushing component. By activating the first crushing component to discharge air bubbles, the static deposition structure of the silt on the cleaning path of the second crushing component is broken, so that the second crushing component can quickly disperse the accumulated silt during the activation process, thereby reducing the time consumed by the device in the silt cleaning process and improving the practicality of the device.

The application discloses a parallel groove clamp installation control method and a remote control robot system, wherein the method comprises the following steps: S1, receiving an operation instruction from a remote control end, and controlling a double-arm robot to move to a working position; S2, controlling an end effector of the double-arm robot to place two wires to be connected into corresponding wire slots of a parallel groove clamp respectively; S3, replacing the end effector of the double-arm robot with a tightening tool, and tightening bolts of the parallel groove clamp according to a preset sequence and a torque control strategy; and S4, detecting an installation state of the parallel groove clamp after completing bolt fastening. The application realizes full-process automatic operation of parallel groove clamp installation through the remote control robot system, and effectively solves the core technical problems of traditional operation, aiming at the pain points of high safety risk, low efficiency, poor installation precision and the like of manual installation of low-voltage distribution line parallel groove clamps in urban villages.

The application belongs to the technical field of teleoperation robots, and discloses a space mapping method and system for a teleoperation robot based on teaching stiffness. The method comprises the following steps: S1, constructing a relationship formula of the stiffness and position of the slave robot end in the teaching stage by dividing the working stage of the teleoperation robot into the teaching stage and the actual operation stage; S2, dividing the working space of the slave robot end into a fast motion space, a fine operation space and a transition space, and constructing a relationship formula of the expected position and attitude of the slave robot end in the actual operation stage; S3, obtaining mapping coefficients of the position and attitude of each space based on the teaching stiffness characteristics; and S4, solving the expected position and attitude of the slave robot end in each space in the actual operation stage, so as to realize the space mapping of the teleoperation robot. According to the application, the motion in the actual operation stage is smooth and compliant, and the motion stage switching does not need to rely on a button. The method is simple, flexible, functional, low in calculation cost and practical.

An end effector and a haptic control system for a teleoperator robot are provided. The end effector is configured for attachment to a robot and includes a visual hub having a plurality of sensors for viewing an environment for telecontrol of the robot and a projector for projection onto an object, surface, or user's body. The user interacts with the projection to guide the robot to perform various tasks. User interactions are detected by sensors in the visual hub to enable feedback control of the robot. The end effector may be used as part of a haptic control system in combination with an auxiliary haptic device to guide the robot to perform various tasks.

1. The name of the design product: cockpit shell (panoramic immersive remote control). 2. The use of the design product: remote control cockpit for precise remote control of robots in complex working conditions such as high dust and high vibration. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 2.

A remote-controlled robot autonomously travels to a plurality of task execution places according to a patrol schedule and executes a plurality of tasks at each task execution place, and includes a setting acquisition unit, and a first switching unit. The setting acquisition unit acquires setting of whether to perform autonomous operation or to perform manual operation by an operation of an operator from a remote control terminal for each of a plurality of tasks to be executed at each task execution place. The first switching unit switches between task execution by autonomous operation and task execution by manual operation based on the acquired setting.

The article concerning the present design is a remote controlled robotic platform vehicle that can travel on uneven ground while maintaining a vehicle body horizontal by changing a distance between ground contact surfaces of wheels and the vehicle body; it is used to mount cargo on top of the vehicle body and carry it, to mount on the top work machinery for construction or agricultural work and work therewith, and the like; Fig. 1.1 is a front view; Fig. 1.2 is a back view; Fig. 1.3 is a left side view; Fig. 1.4 is a right side view; Fig. 1.5 is a top view; Fig. 1.6 is a perspective view; Fig. 1.7 is a perspective view.

Building on and adopting tele driving technologies, here a tele robotic arrangement (20) drives a vehicle via robot (21 ), replacing the dependence on tele controlled technologies and mechanisms installed on a minimum level 2 autonomous vehicle. The regular remote-control cockpit (22), simulating a vehicle cockpit (21) is driven by a remote driver to operate remotely the driving mechanisms and devices inside the actual vehicle via a humanoid robot (21), which consists of multiple cameras (eyes) (28), hands (29), adjustable angle feet (30), microphones (31), speakers (32), control units (33), signal receiver and transmitter units (58), in addition to the vehicle computer vision equipment (34), all are set to transmit remotely a semi-driver and vehicle vision to a remote driver receiver (58) inside a cockpit (22) and receive driving instructions from it. The humanoid remotely controlled robot could be modified to do other technical, medical, security, guiding, educational, irrigation, firefighting... tasks.

A robot includes an optical marker disposed to be visible in a top-view image of the robot, a receiver configured to receive a top-down image of an area of interest surrounding the robot within a property, and a processor configured to distinguish the robot from structural features on the property based on an image of the optical marker. A position and an orientation of the robot and the structural features relative to the property is determined based on the top-down image. Among the structural features, a subset of features classified as obstacles inhibiting an operation of the robot as the robot moves within the area of interest is determined. An operating path for the robot within the area of interest so as to avoid the obstacles is then determined.

The method comprises the following steps: acquiring a multi-modal interaction signal of a user and environment perception data acquired by a robot, and according to the multi-modal interaction signal and the environment perception data, performing a dynamic delay compensation algorithm and a self-adaptive permission allocation mechanism to obtain a self-adaptive permission allocation mechanism; and generating a control instruction matched with the demand of the user, sending the control instruction to the robot, obtaining the execution state and environment interaction information of the robot when detecting that the operation of executing the control instruction by the robot is finished, and feeding back the execution state and environment interaction information to the user. It can be seen that the technical problems that the response time of the effective robot is long, the control efficiency and accuracy of the robot are low, and the operation flexibility is poor can be solved, intelligent multi-mode control over the robot is achieved, and therefore the control efficiency and accuracy of the robot and the operation flexibility can be improved.

The application discloses a connecting rod type multi-arm rescue robot and relates to the technical field of rescue robots. The connecting rod type multi-arm rescue robot comprises a caterpillar type remote control robot main body. The first telescopic driving element drives the mounting frame to be lifted as a whole and to be sleeved on a trapped person. The second telescopic driving element realizes the lateral displacement of a transmission frame. The third telescopic driving element drives a transmission plate to be extended. The fourth telescopic driving element drives the clamping frame to be accurately positioned to the side of the trapped person's body. The fifth telescopic driving element controls the clamping blocks to clamp clothes. The multiple clamping blocks fix the clothes on the side of the trapped person from different directions. The sixth telescopic driving element drives the two side supporting plates to be close to each other inwardly to form a lifting supporting surface. The complete rescue action chain from clamping, lifting to supporting is realized. The trapped person can be transferred without the rescue personnel entering the dangerous site, and the harm to the rescue personnel caused by collapse, toxic gas and the like can be effectively avoided.

The present invention is a multiplayer robotic combat system designed for interactive gameplay in a physical arena, combining remote-controlled robots, a central game server, and an interactive battlefield. The robots, controlled by players via wireless input devices, are equipped with a range of features, including omnidirectional movement, infrared-based combat systems, health mechanics involving shields and hitpoints, and special abilities with cooldowns. Robots also interact with battlefield elements such as power-up zones and traps that provide temporary advantages or limitations during gameplay. The central server manages the game logic, tracking robot health, ability cooldowns, and positional data, while also enabling custom game modes. The battlefield features customizable terrain and embedded zones that dynamically influence robot behavior. The system is designed for competitive and immersive multiplayer experiences, with support for real-time gameplay synchronization and spectator modes through external displays.