5527 results about "Roboty" patented technology

This invention provides a method for rapid assembly of a modular tubular beam car body. The car body is divided into several independent modules, which are manufactured in parallel at independent workstations or assembly lines. Corresponding connections between different independent modules are fitted with interlocking mortise and tenon structures for coarse positioning and fastening. The manufactured independent modules are then automatically transferred to an assembly station, where a robot grasps and rapidly assembles them. After assembly, bolts and / or structural adhesive are used to fasten the mortise and tenon joints. Compared to traditional assembly line production processes, this method significantly improves efficiency and economy, effectively reduces floor space, and overcomes the limitation of existing "unpacking processes" that are only suitable for single-model production, thus facilitating flexible manufacturing and rapid iteration across multiple models.

Provided are a method, system, and non-transitory computer-readable medium for real-time autonomous path planning for a robotic device. The method includes receiving data about the robotic device in a three-dimensional workspace, encapsulating objects in the environment of the robotic device including the robotic device, a target, and one or more obstacles in simulated robotic space, calculating a direction of movement for the robotic device according to three virtual forces including a virtual attractive force, a virtual repulsive force, and a virtual tangential force acting at least partially perpendicularly relative to the virtual repulsive force, mapping each virtual force in the three-dimensional workspace into torque vectors in the simulated robotic space at each joint, converting a sum of the torque vectors into one or more commands for the robotic device defining a path to reach the target, and sending the one or more commands to the robotic device.

This application provides a retrieval device, a handling robot, and a method for handling items. The retrieval device includes a base; a retrieval component that can selectively extend or retract from the base; the retrieval component is configured to handle a target item by acting on its front end face when retrieving or returning the target item, wherein the front end face of the target item is the side of the target item facing the retrieval component when it is to be retrieved or returned; a drive mechanism configured to drive the retrieval component to move relative to the base, so that the retrieval component reciprocates within the target storage location and the base; and a translation component configured to drive the retrieval component to move on the base, thereby adjusting the offset distance of the retrieval component relative to the target storage location. When handling boxes, it is not necessary to insert into the gap between adjacent boxes, thereby effectively reducing the gap between adjacent boxes when storing them, and thus effectively increasing the storage density of the boxes.

In various examples, a technique for generating speed change decisions for a mobile robot includes identifying, using one or more maps of a physical environment, one or more obstacles associated with one or more portions of a path of the mobile robot in the physical environment. The technique also includes generating, based at least on the one or more obstacles, one or more speed constraints, each speed constraint specifying a speed limit for a respective portion of the path. The technique further includes generating one or more speed change decisions specifying actions to be performed by the mobile robot to cause a speed profile of the mobile robot to satisfy the one or more speed constraints.

The present disclosure relates to: a robot movement control method which enables a movement path to a target location to be quickly planned and / or movement to the target location to be quickly made; and a robot implementing same, and may provide a robot movement control method comprising the steps of: receiving information regarding a target location from a control server; searching for a partial trajectory corresponding to a narrow section required for a robot to move from the current location to the target location; planning, in a random tree method, a partial global path for a non-narrow section required for the robot to move from the current location to the target location; and generating a full global path for moving from the current location to the target location by using the partial trajectory and the partial global path.

The present invention provides a vertical articulated robot and robot system capable of improving detection accuracy. [Solution] The device comprises a base, a first drive mechanism connected to the base, a first arm 221 connected to the first drive mechanism and rotating around a pivot axis, a second drive mechanism connected to the first arm 221, a second arm connected to the second drive mechanism, and a motor 700 for driving the second arm. The first arm 221 has a first housing 300 connected to the first drive mechanism, a second housing 400 fixed to the first housing 300 and connected to the second drive mechanism, and an inertial sensor module 600 fixed to the first housing 300 and detecting at least one of acceleration and angular velocity in the first arm 221. The motor 700 is fixed to the second housing 400 or the second arm.

This invention discloses a power cord anti-pull mechanism and an industrial six-axis robot, belonging to the field of industrial robot technology. The power cord anti-pull mechanism is applied to equipment requiring electrical power for operation. It includes a power cord, a power supply box, and an anti-pull device. One end of the power cord is equipped with a power plug, and the other end is used to connect to the equipment requiring electrical power. A power socket is provided on one side of the power supply box, into which the power plug can be inserted to connect to the power supply. The anti-pull device is disposed on the power supply box and includes a fastening device and a power device. The fastening device is used to secure the power plug after it is inserted into the power socket, preventing pulling between the power cord and the power socket. The power device provides power to the fastening device to secure the power plug. The power cord anti-pull mechanism can prevent problems such as poor contact or disconnection between the power cord and the power supply box during the operation of the industrial six-axis robot.

The invention provides a robot training data analysis method and system based on deep learning. The method comprises the steps that operation parameters reflecting the work intensity of a robot are acquired; acquiring original sensor data acquired by the robot; deducing the physical state deviation of an end effector of the robot based on the operation parameters; according to the physical state deviation, adjusting the original sensor data to obtain adjusted sensor data; and optimizing a robot control strategy based on the adjusted sensor data. The method can effectively identify and quantify the sensor data error of the robot caused by the physical state deviation, and solves the problem that the model performance is reduced due to the fact that a traditional deep learning system learns in dirty data by correcting the original sensor data, thereby improving the accuracy and efficiency of robot control strategy optimization, and improving the user experience. And invalid adjustment caused by error attribution is avoided.

The invention provides an underwater robot multi-task rapid adaptive control method based on meta reinforcement learning. The method comprises the following steps: constructing an underwater robot dynamic model and a thrust distribution strategy matrix; three reinforcement learning controllers, namely, a non-overshoot position controller, an overshoot allowing position controller and a propeller flexible control controller, are respectively designed according to diversified task requirements; introducing a meta-learning mechanism to build a meta-training platform, and training the three reinforcement learning controllers to obtain a group of optimal initialization parameters; and deploying the obtained optimal initialization parameters and the subtask reinforcement learning controller to the underwater robot, and carrying out two-stage training according to different tasks. Finally, when the controller is deployed in engineering practice, the output of the propeller can be intelligently adjusted according to the relative distance and speed information, calculated in real time, between the controller and the target position, and it is ensured that accurate position control can be achieved in various task scenes. The method aims at meeting the requirement for rapid self-adaption of multiple tasks of the underwater robot in the complex and changeable underwater environment, and accurate and flexible response to position control is achieved through the control method based on meta reinforcement learning when the task requirements change.

The application discloses a kind of multi-wheel modular adaptive pipeline operation robots, including drive module, the drive module front and rear ends are provided with electrical module, the electrical module front end upside of front side is provided with video acquisition mechanism, and video acquisition mechanism is composed of camera and infrared generator, the electrical module front end center of front side is provided with steering head, the mechanical arm is connected with steering head in steering head front end, the mechanical arm is connected with steering head by connecting screw sleeve, and connecting screw sleeve is sleeved in the outside of mechanical arm rear end, tool module is modular design, can be set as obstacle claw, polishing head, grouting head, surveying and mapping head and different function tool head, can be quickly replaced according to use needs, satisfy different operation needs in pipeline, drive motor and driving wheel are connected with drive module by module connecting seat and module connecting groove, can be quickly disassembled, facilitate maintenance and replacement, improve the maintainability and use flexibility of equipment.

The application discloses a laser robot mapping optimization method, a chip and a laser robot. The optimization method comprises the following steps: acquiring all rooms in a laser robot mapping result, scanning the edges of each room, and counting the total edge length and unknown edge length of each room; calculating the ratio of the unknown edge length of each room to the total edge length thereof; according to the ratio of the unknown edge length of each room to the total edge length thereof, iteratively judging whether the room is to be deleted from the mapping result, if yes, deleting the room from the mapping result, and if no, keeping the room in the mapping result, until all rooms are iteratively judged, and the optimization of the robot mapping result is completed. The ratio of the unknown edge length of each room to the total edge length thereof is used to screen the laser robot mapping result, so that the room with incomplete mapping is optimized, and the reliability of the laser robot mapping result is improved.

The utility model relates to the technical field of municipal engineering and robot technology intersection, especially a kind of self-propelled dredging robot of municipal sewer pipeline inner wall.The utility model provides a kind of self-propelled dredging robot of municipal sewer pipeline inner wall, including frame, track module and electric telescopic rod etc., two track modules are slidably installed in the left and right sides of frame, track module is all arranged obliquely, two electric telescopic rods are installed in the left and right sides of frame, and the telescopic end of electric telescopic rod is connected with the track module that is close to each other.The utility model provides walking power source by track module, significantly enhances the passing capacity of equipment whole, so that it can adapt to a variety of complex terrain environment in pipeline, simultaneously, under the assistance of supporting wheel and electric push rod, ensure that track is always close to inner wall, improve grip, and then effectively improve the operating stability and operation reliability of equipment.

This invention relates to a continuous-body soft tissue insertion actuator and surgical robot system based on flexible transmission, belonging to the field of medical device technology. The insertion actuator includes a base with a first through hole at its center; an insertion plate rotatably connected to the base; a drive rod passing through the first through hole and slidably connected to the base, one end of which is connected to a drive unit; a pull rod connected to the drive rod; and a transmission link, both ends of which are rotatably connected to the insertion plate and the pull rod, respectively. The drive unit drives the drive rod to move. When the pull rod moves away from the base, it drives the transmission link, causing the insertion plate to close inward, forming a conical structure. When the drive rod moves the pull rod closer to the base, the insertion plate opens under the push of the transmission link. This actuator utilizes a hyperelastic rod to transmit push and pull forces within a curved channel, combined with an offset crank-slider mechanism, to achieve powerful soft tissue insertion and separation.

An apparatus, comprising a memory, configured to store a first data set, comprising kinodynamic data representing a plurality of human-directed movements of a robot; and a second data set, comprising linguistic descriptors of the plurality of human-directed movement of the robot; and a processor, configured to generate a third data set based on the first data set and the second data set, wherein the third data set comprises a plurality of motion primitives of the robot.

The application discloses a new energy automobile sky screen flexible collinear assembly production line, and relates to the technical field of new energy automobile part automation assembly. The control system is provided with a multi-vehicle parameter library, and calls sky screen profile size, edge curvature, adsorption partition, glue coating path, glue gun relative height compensation and pressing segmented force control parameters according to a vehicle type identification signal. The vision detection system outputs a sky screen pose deviation and converts the sky screen pose deviation into a robot path compensation amount, and uniformly corrects a grabbing, glue coating and installation path. After glue coating, a defect position is converted into a path arc length coordinate and glue supplement, re-coating or alarm are executed. During installation, interlocking control is carried out based on a pressing force, a pressing force growth slope and a suction disc release signal. The production line improves the positioning precision, glue coating quality and glass anti-damage ability of collinear assembly of multi-vehicle curved surface sky screens.

1. Name of the product in this design: Pipe-laying robot. 2. Purpose of this design: As a hose reel and pipe laying device. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model provides a PDU equipment for high accuracy differential positioning function of intelligent robot with body, belong to electric power equipment positioning technical field, including distribution mechanism, including installation shell, the slot of setting in installation shell surface, set up the installation mouth of installation shell lateral wall, set up the installation component of installation shell inner wall and set up the positioning assembly of installation shell inner surface, support mechanism, including fixedly installed in the connecting block of installation shell bottom, fixedly installed in the clamping block of connecting block bottom, fixedly installed in the mortise of clamping block lateral wall. The utility model discloses through the setting of distribution mechanism and support mechanism, has realized the high accuracy differential positioning function of PDU equipment, has improved the stability and the adjustment flexibility of equipment simultaneously, and the installation component and positioning assembly in distribution mechanism have guaranteed the reliable installation and efficient positioning of equipment, and the setting of receiving shell makes equipment can through satellite fast, accurate positioning, has improved the positioning accuracy and efficiency.

This technology provides a way to precisely position a collaborative robot to a predetermined location. [Solution] The collaborative robot system includes a working robot mounted on a mobile platform, which can move with the user to a predetermined location. Furthermore, this collaborative robot system is equipped with an illumination unit that emits infrared light in a predetermined direction at a predetermined location. The collaborative robot comprises a control unit that controls the operation of the working robot, a light receiving unit that receives infrared light, and a notification unit that notifies the status of the mobile platform.

The application relates to the technical field of robots, and discloses an AI vision positioning method and system for robot automatic assembly, which comprises a composite perception system, an active physical excitation module and a central processing unit; the composite perception system is integrated with a polarization camera, a thermal imager and a structured light projector; and the central processing unit is internally arranged with a physical causal decoupling network and a health state manifold model. The method comprises the following steps: in an offline stage, a physical characteristic enhanced point cloud of a standard part is collected through a detection, excitation and response protocol, so as to train the physical causal decoupling network and construct a health state manifold representing the state of qualified materials; in an online stage, the state of a material to be assembled is diagnosed, and an expected process path connecting the current state and the target state is generated on the manifold. The application solves the positioning and control problems in complex scenes such as high reflectivity and transparency, and realizes high-precision in-situ closed-loop assembly.

A robotic tool changer includes a master-side assembly that couples to a robotic arm, and a tool-side assembly that couples to, and is interposed between, the master-side assembly and a tool used by a robot. Additionally, a locking mechanism and a force / torque sensor are integrated into one of the master-side and tool-side assemblies. The locking mechanism moves between a locked position and an unlocked position to lock and unlock the master-side assembly to and from the tool-side assembly. The force / torque sensor includes sensing structures that elastically deform responsive to an applied force and transducers affixed to the sensing structures. The transducers send electrical signals representing a magnitude and a direction of a detected applied force to a measurement circuit. The force / torque sensor, a part of the locking mechanism, and the master-side or tool-side assembly into which they are integrated may form unitary member.

A method (M) for generating a digital workspace model (112) representing an available workspace (110) for a robot (102) in an industrial environment (100), the robot (102) having a robotic arm (106) with one or more arm segments movable in the available workspace (110) by one or more actuators, the method comprising: providing (S10) a digital arm model indicating a position of a segment representation point at the or each arm segment relative to an actuator position; providing (S12) a series of recorded actuator position sets; and generating (S18) the digital workspace model (112) by determining (S20) each position of each segment representation point based on the digital arm model and the recorded actuator position sets relative to a common coordinate system. The method generates a digital workspace model with improved model resolution and without the need for additional measurement equipment other than the robot itself.

This application discloses an ionized flexible three-dimensional force sensor and its fabrication method, relating to the field of flexible sensor technology. The ionized flexible three-dimensional force sensor includes a flexible substrate, a flexible encapsulation film, a tangential force sensing electrode group, a normal force sensing electrode group, an ion conductor, and an ion material film. The tangential force sensing electrode group includes four side electrodes and a ring-shaped central electrode, with microstructures on the outer side of the ring-shaped central electrode. The normal force sensing electrode group includes interdigital electrodes. Based on an ionized sensing mechanism, this invention achieves ultra-thinness and high tangential sensitivity through innovative structural design, while simultaneously achieving complete decoupling of normal and tangential forces, eliminating signal crosstalk, and accurately measuring the magnitude and direction of three-dimensional forces without complex decoupling algorithms. It is suitable for applications with limited space, such as robotic fingertips and minimally invasive surgery.

The utility model relates to teaching robot technical field, concretely is a kind of modular teaching robot system, comprising: mechanical arm component, the mechanical arm component end part is provided with seat body;Shell, the shell and seat body are fixed, the shell top and bottom are all provided with two limit seat, every the limit seat is all set up and is limited to the hole;Circular seat, the circular seat and shell rotation are connected;Annular seat, the annular seat rotation is set on circular seat, the annular seat and circular seat side wall are all set up and are a plurality of grooves;Multiple through holes, multiple the through hole is set on annular seat side wall;Clamping module, the clamping module and through hole connect, the utility model can be through annular seat and through hole to realize clamping module and the installation of this robot, to assist clamping work, through the groove on circular seat and annular seat, realize the installation of this robot and transmission module, to assist stirring work.

The present disclosure relates a soft body vine robot that can extend into confined spaces and perform various tasks using interchangeable end effector tools. The vine robot includes a tubular robot body and an attachment member. An internal portion of the robot body is disposed within an external portion of the robot body. The attachment member has a first side detachably connectable to an everting tip of the robot body and a second side detachably connectable to at least one end effector. In operation, a pressure source generates pressure within the robot body to cause the internal portion of the robot body to evert along an everting direction of the robot body, the robot body everts along a desired path, and the attachment member maintains a detachable connection with the everting tip of the robot body.

1. The name of the design product: the shell of the pool cleaning robot recharging base station. 2. The use of the design product: overall use: the design product is used in the pool cleaning robot recharging base station for storing pool cleaning robots and providing charging, positioning and other functions; partial use: the design product is used in the shell of the pool cleaning robot recharging base station for storing pool cleaning robots and providing charging, positioning and other functions. 3. The design points of the design product: the shape of the solid line part. 4. The picture or photo that best indicates the design points: Figure 1, perspective view. 5. Other circumstances that need to be explained: The design is a partial design, the solid line represents the part to be protected, and the dashed line represents the unprotected part.

The invention relates to a robot (1) comprising a torso (19) with a first shoulder joint assembly (2) and a second shoulder joint assembly (3), wherein each shoulder joint assembly (2, 3) comprises the following elements: - a housing (20) in which a globoid worm gear (7) with a worm shaft (8) and a worm wheel (9) is arranged, - a drive unit (10), and - a belt drive (11) which effectively connects the globoid worm gear (7) to the drive unit (10) via a belt (12), wherein the elements of the two shoulder joint assemblies (2, 3) are each substantially identical, and wherein the worm wheels (9) of the two shoulder joint assemblies (2, 3) are arranged in reverse orientation in the associated housing (20).

The application provides a push stream control method and device and electronic equipment, and relates to the technical field of automatic driving. The method comprises the following steps: subscribing to a push stream switch topic published by a remote control platform based on a preconfigured robot operating system (ROS) node; obtaining push stream control information issued by the remote control platform from the push stream switch topic; the push stream control information comprises a push stream total switch and a target address; the push stream total switch is used to represent a push stream on state or a push stream off state; updating a current push stream parameter in the ROS node according to the push stream control information to generate a new push stream parameter; and controlling camera push stream to a target server according to the new push stream parameter; the target server is a device corresponding to the target address. The method can realize dynamic updating of the push stream parameter in the ROS node, thereby adapting to the dynamic scheduling requirements of multiple vehicles and multiple tasks in a vehicle-mounted scene.

This invention discloses a distributed collaborative assembly method for heterogeneous robots based on intelligent prefabricated components, comprising: initiating an assembly task; the intelligent prefabricated component sensing its own state, autonomously determining task requirements, and issuing a task request to the heterogeneous robots; the robots determining whether to respond based on their own capability models; the component selecting the optimal responding robot and sending a task execution instruction; the robot executing the task and providing feedback, which is recorded by the component and uploaded to a prefabricated building component management platform; constructing a distributed collaborative framework with the intelligent prefabricated component as the decision-making core, realizing a closed-loop process of task issuance, robot bidding, component decision-making, robot execution, and feedback; this invention is applicable to multi-robot collaborative assembly in large-scale complex scenarios, effectively alleviating the scheduling bottleneck and computational pressure of centralized control, improving system scalability and resource utilization efficiency, and significantly enhancing the collaborative capabilities of heterogeneous robots and overall assembly performance.

This invention proposes a method for compensating for robotic arm trajectory errors based on a physical information neural network, relating to the field of industrial robot control technology. The method includes: collecting operational state data of the robotic arm during the execution of a given trajectory command; inputting the operational state data into a physical information neural network to output a prediction error corresponding to the end effector trajectory of the robotic arm; calculating a joint angle correction amount corresponding to the robotic arm based on the prediction error and the inverse kinematics solver of the robotic arm, and generating a trajectory error compensation command based on the joint angle correction amount; and sending the trajectory error compensation command to the controller corresponding to the robotic arm to drive the robotic arm to operate, thereby compensating for the end effector trajectory error. This application helps improve the accuracy and stability of robotic arm movement.