276 results about "Robot design" patented technology

The present invention is non-contact magnetically adsorbed wall climbing robot, belongs to the field of robot design technology, and aims at providing robot with both high moving flexibility and great loading capacity. The non-contact magnetically adsorbed wall climbing robot includes wheeled moving mechanism and permanent adsorption mechanism. The wheeled moving mechanism includes chassis, driving mechanism and wheels, which are laid symmetrically, driven in differential mode, and turns on wall by means of the speed difference of the wheels. The permanent adsorption mechanism has no contact with the magnetically conducting wall surface, high magnetic energy utilization, and high adsorption capacity. The wall climbing robot has high loading capacity, high motion flexibility, especially high turning flexibility, and excellent application foreground.

The present teaching relates to developing a virtual agent. In one example, a plurality of graphical objects is presented to a user via a bot design programming interface. Each of the plurality of graphical objects represents a module corresponding to an action to be performed by the virtual agent. One or more inputs from the user are received, via the bot design programming interface, for selecting a set of graphical objects from the plurality of graphical objects. The one or more inputs provide information of a first order of the set of graphical objects. A plurality of modules represented by the set of graphical objects is identified. Based on the one or more inputs, a second order of the plurality of modules is determined based on the first order. The plurality of modules is integrated in the second order to generate a customized virtual agent for executing an associated task according to the second order.

The cerebral operating robot system based on optical tracking and closed-loop control for receiving medical image information, detecting and determining disease focus position, assisting operation plan and performing operation guidance is one closed-loop pose measuring and real-time feedback controlling robot system comprising one computer, one five-freedom robot, one optical tracking device and one passive marker. The passive marker is mounted in the end of the five-freedom robot, and the five-freedom robot includes one mechanical arm and one mechanical arm controller. The operation plan assisting and operation guiding software includes a digital image inputting and pre-treating module, a disease focus extracting and 3D reconstructing module, an operation planning module, and an operation executing module. The present invention has the advantages of raised precision, low cost, simplified calibration process, etc.

Disclosed is a magnetic-absorption wall-creeping robot with a self-adaptive capability to curved face, which belongs to the art of robot. Said robot comprises a wheeled shifter and a plural of permanent-magnet absorption devices, the wheeled shifter containing an undercarriage, a drive gear, a traction wheel and an auxiliary balancing wheel; one end of the permanent-magnet absorption device being equipped with the magnetic conduction wall surface by auxiliary balancing wheel, and the other end equipped with the undercarriage or other permanent-magnet absorption device by curved face self-adaptive device with rotational freedom degree of among one to three; the traction wheel being laid out symmetrically and driven by differential drive, and the differential of the traction wheel realizing the deflecting on the magnetic conduction wall surface. The wall-creeping robot having a strong loading power, a flexible motility and a super self-adaptive capability to curved face, has a perfect prospect.

A load lock is provided for a semiconductor substrate processing system having a transport robot mounted therein. The load lock transport supplies substrates directly to a processing chamber without the need for a central transport robot. The load lock transport is a dual element robot designed for minimum clearance and space and operates within a matching load lock chamber of minimum volume.

The invention relates to a four-stage sweeping robot, comprising a power supply system, a motor system, a sensor system, a control system and a sweeping system which are arranged on the rounded base plate, wherein the sweeping system comprises a front main brush device and a rear main brush device respectively on the front portion and the read portion of the base plate, a left side brush device and a right side brush device respectively on the left portion and the right portion of the base plate, and a vacuum dust cleaner device on the back side of the base plate; the front main brush device and the rear main brush device provided with a dust collection chamber respectively and driven by a separated motor, and a side brush and a main brush which share a motor, constitute an independent sweeping system. Two sets of sweeping systems can be operated together or independently. The four-stage sweeping process comprises a step of sweeping dust into the bottom of the robot by the side brush, a step of sweeping dust into the dust collection chamber by the front main brush, a step of sweeping dust into the dust collection chamber by the rear main brush, and a step of drawing residual dust into the filtering chamber by the vacuum cleaner device. The inventive four-stage sweeping robot solves the problems of incomplete cleaning and susceptibility to blockage of the main brush caused by the prior robot design.

A method of designing a household sweeping robot based on deep reinforcement learning comprises the following steps: (1) collecting an original image of the horizontal section of a room around a sweeping robot through a laser radar, and transmitting original data back to a computer via a wireless serial port; (2) carrying out SLAM (Simultaneous Localization and Mapping) on the original data, and after real-time localization of the sweeping robot and room mapping, processing the data and generating a 168*168 two-dimensional array; (3) building a CNN+LSTM neural network; and (4) training the sweeping robot, and giving corresponding return to the neural network according to whether the motion of the sweeping robot meets the expected requirement, in order to change the parameters of the neural network, wherein the sweeping robot can make independent decisions after training. Through the steps, the sweeping robot can find a target object in a strange scene in a relatively short period of time, and can avoid obstacles and plan a path automatically. A sweeping robot designed using the method is of certain versatility and task mobility.

A method and apparatus for processing substrates using a multi-chamber processing system, or cluster tool, that has an increased system throughput, increased system reliability, improved device yield performance, a more repeatable wafer processing history (or wafer history), and a reduced footprint. The various embodiments of the cluster tool may utilize two or more robots that are configured in a parallel processing configuration to transfer substrates between the various processing chambers retained in the processing racks so that a desired processing sequence can be performed on the substrates. In one aspect, the parallel processing configuration contains two or more robot assemblies that are adapted to move in a vertical and horizontal directions, to access the various processing chambers retained in generally adjacently positioned processing racks. Generally, the various embodiments described herein are advantageous since each row or group of substrate processing chambers are serviced by two or more robots to allow for increased throughput and increased system reliability. Also, the various embodiments described herein are generally configured to minimize and control the particles generated by the substrate transferring mechanisms, to prevent device yield and substrate scrap problems that can affect the cost of ownership of the cluster tool. The flexible and modular architecture allows the user to configure the number of processing chambers, processing racks, and processing robots required to meet the throughput needs of the user.

The specification and drawings present a new method, system and software product for and apparatus for generating a robotic validation system for a robot design. The robotic validation system for the robot design of a robotic system is automatically generated by converting a robot design into a generic robotic description using a predetermined format, then generating a control system from the generic robotic description and finally updating robot design parameters of the robotic system with an analysis tool using both the generic robot description and the control system.

The invention provides an intelligent floor sweeping robot with a touch input function. The intelligent floor sweeping robot comprises a large-size touch screen, a screen rotating device, an anti-collision detection device, a garbage suction-in device and a storage device. The large-size touch screen is used for providing a man-machine interaction interface so as to input sweeping parameters through touch operation. The screen rotating device is connected with the touch screen and used for rotating the touch screen and adjusting the placement angle of the touch screen. The anti-collision detection device is used for outputting an anti-collision detection signal so that the intelligent floor sweeping robot can avoid obstacles when the intelligent floor sweeping robot encounters the obstacles or a certain distance exists between the intelligent floor sweeping robot and the obstacles. The garbage suction-in device is used for sucking in garbage in a sweeping area through an air channel. The storage device is used for storing the sucked garbage. Compared with the prior art, a brand-new more flexible interaction mode is designed for the intelligent floor sweeping robot, the sweeping parameters of the robot can be set more visually, and therefore the problem that the interaction mode of an existing robot is inflexible is solved.

The invention relates to a method for controlling a robot (14), which is designed to be operated in a working mode, in which a part (16) of the robot (14) is moved at a speed at which there is a risk of injury to a person (12), the working mode being deactivated if a safety device (18) detects that the person (12) has entered an action region (60) of the displaceable part (16). The aim is to make close cooperation possible between the person (12) and the robot (14). A sensor unit (20) determines a position and a posture of the person (12) while the person (12) is outside the action region (60) of the part (16). A prediction unit (26) determines an action region (58) of the person (12). A collision monitoring unit (28) monitors whether the two action regions (58, 60) overlap (62). The robot (14) can optionally be switched from the working mode into a safety mode.

A hardware and software method, system and apparatus comprising an autonomous all weather outdoor cleaning robot designed to identify, and clean various outdoor household objects including but not limited to personal automobiles and other vehicles. The robot autonomously navigates to a designated area and scans the vehicle or object to determine the optimum cleaning routine. The robot learns its working environment by comparing scanned vehicles and outdoor objects with its existing database for future reference. The robot also compares and stores navigation data, which correlate to areas previously visited to increase efficiency for future work by reducing travel and scanning times. The Present Invention focuses on autonomous outdoor cleaning multi-purpose robots. The robots utilize microprocessors to control cleaning, navigation and perception. More specifically, the robots use multi-segmented arms to perform needful chores. Even more specifically, a robot can adapt and learn from its environment while performing useful tasks.

The invention discloses a disturbance-observer-based multi-mobile-robot formation robust control method. A multi-mobile-robot formation control system model under the condition of considering uncertainty factor influences like the model parameter disturbance and external disturbance is established; on the basis of a dynamic formation error model, an auxiliary speed controller stabilizing a formation error is designed for a following robot; and the output of the auxiliary speed controller is used as a speed given signal of a dynamic model of the following robot and an adaptive sliding mode controller based on a disturbance observer is designed at the dynamic level. With the control method disclosed by the invention, the adverse influence of the sum disturbance in the multi-mobile-robot formation system can be eliminated effectively; the response speed of the formation system is increased; and the system stability and robustness are improved.

A method, system and apparatus comprising an autonomous all weather outdoor cleaning robots designed to identify and clean various outdoor household objects including but not limited to personal automobiles and other vehicles and outdoor objects. The robot will autonomously navigate to a designated area and scan the vehicle or object to determine the optimum cleaning routine to render. The robot can record and learn its working environment by comparing scanned vehicles and outdoor objects with its existing database for future reference. The robot can also compare its position and store navigation data which correlates to areas previously visited and items previously cleaned so as to increase efficiency for future work by reducing travel and scanning times. The present invention is focused on autonomous outdoor cleaning robots with multiple purposive functions. Specifically, the present invention utilizes micro-processors to control cleaning, navigation and perception. More specifically, the present invention uses multi-segmented arms to perform needful chores. Even more specifically, the present invention can adapt and learn from its environment performing useful tasks.

The invention belongs to the technical field of robot design, and relates to a deep learning based recognizing and classifying robot for bottle and can type garbage. The robot is characterized in thata robot system comprises three parts, namely, a garbage image acquiring system, a digital image handling and recognizing training system and an industrial robot sorting system, wherein the image acquiring system is used for acquiring an image through an industrial CCD camera; the handling and recognizing training system is used for extracting properties (outline and OCR character property) of a garbage sample training set based on convolutional neural network and creating a classifier and training the classifier to realize positioning recognizing and classifying; and the robot sorting systemis sued for transferring the obtained recognizing classifying information to a mechanical arm in an instruction form so as to realize garbage sorting. According to national related policies, environmental protection industry and profitability analysis, most of recoverable bottle and can type garbage cannot be easily decomposed and screened and classified in a normal manner, so that classifying andrecovering the abovementioned garbage is of huge value and significance to environment and resource recycling.

The invention discloses a ground sweeping robot with a smart home function. A smart home system is integrated into the ground sweeping robot, and the single function image of a traditional ground sweeping robot is changed. The robot has the five functions of indoor ground sweeping, indoor environment monitoring, short message remote control, remote video control and remote electric appliance control. By means of design of the robot, the ground sweeping robot is more intelligentized, installation of the smart home system is easier, the integration level is greatly improved, and meanwhile the cost is lowered. Accordingly, a new direction is provided for development of the ground sweeping robot and the smart home system.

The invention provides a floor sweeping robot which is designed to comprise a mother machine and a son machine. The son machine is in communication with the mother machine and is installed on the mother machine in a separable mode. The son machine and the mother machine can independently conduct sweeping after being separated. The size of the son machine is smaller than that of the mother machine. When the mother machine can not enter swept space, the son machine can be selected to leave the machine body of the mother machine and conduct sweeping, and therefore the sweeping task not capable of being completed by the mother machine is completed. The floor sweeping robot can be suitable for sweeping narrow space, meets practical requirements and improves the sweeping effect.

The invention belongs to the technical field of automotive engineering, which relates to a magnetic driving control device and a method used for a multi-capsule medical micro-robot. The invention is characterized in that the control of motion is realized by regulating a clearance between a spiral fin on the external surface of the robot and a flexible pipe wall; by the relation between the rotation speed of the robot rotation magnetic field and a radial expansion clearance, a plurality of robots are designed to have different starting rotation speeds; a rotary magnetic field is generated by the cirques of two magnetic poles and driven in different starting rotation speed sections, thus realizing the adjustment and the relative positioning control of the floating speed of the multi-capsule internal micro-robot. The invention has the advantages of good reliability and practicability of the robot, excellent motion performance, high driving efficiency, large applicable range of pipe diameter and simple and easy control. The invention is applicable to flexible pipe wall environments, can be driven by different starting rotation speed sections under the same magnetic field, and can realize the operation to the motion and positioning of a plurality of robots.

The invention relates to a method for multiobjective optimization design of industrial robots, which consists of three steps: firstly, obtaining four performance indexes representing mechanical arm working space, strength, control energy and control time and a computing method thereof through establishment of a mechanical arm kinematics model, a strength analysis model, a dynamic model based on an electromechanical coupling system and a systemic closed-loop model controlled by inverse dynamics; secondly, selectively optimizing robot design parameters related to the four performance indexes to establish a multiobjective optimization design model; and finally, through a control method, adjusting mechanical arm design parameters, optimizing four objectives parallelly, and finally obtaining design values of the design parameters meeting the four performance requirements simultaneously so as to provide a method for overall improving the performance of the industrial robots.

The invention relates to the technologies of image processing, real-time mapping, path planning, robots and the like, and provides a collaborative search blocking platform of a ground robot. The collaborative searching and blocking method based on the ground robot uses a ground robot carrying a camera and a processor to carry out target searching; one robot additionally carries a laser radar; therobot carrying the laser radar establishes an environment map by using the laser radar, and the map is transmitted to other robots, all the robots acquire image information of the surrounding environment through cameras, the image information is processed, an appointed target object is identified in a plurality of objects by utilizing a pre-trained detection and tracking algorithm, the appointed target object is tracked for a long time, and data transmission among the robots is performed through a wireless network; when a certain robot detects a target, the robot can track the target and sendthe position information of the target to other ground robots in real time, and real-time path planning and encircling are carried out. The method is mainly applied to robot design occasions.

The invention provides a three-freedom-degree robot, and relates to the technical field of robot design and manufacturing. The robot comprises a fixed platform, a movable platform, a middle restraining rod and three branch chains of the same structure; the upper end of the middle restraining rod is hinged to the center of the movable platform through a spherical hinge, the lower end of the middle retraining rod is fixedly connected with the center of the fixed platform, and each branch chain comprises a drive device, a drive connecting rod and a rotating telescopic mechanism; the upper ends of the rotating telescopic mechanisms are arranged on the movable platform in the circumferential direction with the middle restraining rod as the center, the drive devices are fixed to the fixed platform, one end of each drive connecting rod is connected with a drive device output shaft to form a rotating pair, the other end of each drive connecting rod and the lower end of the corresponding rotating telescopic mechanism are rotatably connected to form a rotating pair, and the upper ends of the rotating telescopic mechanisms are connected with the movable platform through cross shaft universal hinges or spherical hinges. The three-freedom-degree robot is compact in structure, high in drive performance, stable in motion of the movable platform and high in flexibility and facilitates motion control over the mechanisms, and the robot can be applied to major fields of machine tools, exercise rehabilitation, robot detection and the like according to different needs.

The invention provides a method, system and device for controlling automatic slag feeding of a continuous-casting crystallizer. The method, system and device are based on a slag feeding robot with six motion shafts. A novel automatic slag feeding control system structure is formed by taking the slag feeding robot as the core, cooperating with a quantified slag feeding device having stability and adaptability, combing air-pressure detection, temperature detection, slag-thickness detection, and material bin detection and other detection methods, and finally being supported by safety protection measures for area protection. Therefore, stability and uniformity of the slag feeding process are improved, and production quality of casting blanks is improved. In addition, the invention belongs to automatic closed-loop control, existing information of a casting machine and detection information of the slag feeding robot are combined, so that parameters and operation states can be corrected and adjusted in real time, the stability and uniformity of the slag feeding process in the production process can be guaranteed without manual interference.

A universal open control system for the object-oriented robot is disclosed, which features that the "object-oriented abstract robot" is provided as the relative programming model, the control modules for action layer, behaviour layer and task layer, and the space-sensing, information-sensing, sensor and sensed information interpreter modules are defined, and the interactive mode and layer attribute between said modules are restricted.

The invention discloses a robot zero calibration system and method based on laser triangulation ranging. The system comprises calibrators, targets and a controller. The three calibrators are installed on rigid bases at any position in the surroundings of a robot respectively, the three targets are correspondingly pasted on three perpendicular planes, corresponding to the calibrators, of the tail end of a robot body, and the controller is arranged at a certain surrounding position needed by the robot. Each calibrator is composed of two laser triangulation displacement sensors with the absolute displacement measurement function and a shell, wherein read data of the two laser triangulation displacement sensors is directly transmitted to the controller, and the controller achieves zero calibration of the robot through data processing. The robot zero calibration system and method are high in calibration precision, free of influences on the robot body and suitable for design of novel robots and accessory installation of in-service robots and have the highest universality.

The invention belongs to the field of robot design, and particularly relates to a bionic soft mechanical arm and a grasping system. The bionic soft mechanical arm comprises at least two parallel corrugated pipes, two end plates and a supporting plate; the two end plates are located on two ends of at least two corrugated pipes, the end of each corrugated pipe is fixedly connected to the end plate on the corresponding end, the supporting plate is located between at least two corrugated pipes, and the supporting plate is arranged on the minimum diameter position of each pipe body. According to the bionic soft mechanical arm and the grasping system, control is convenient, the air pressure in an air cavity in each corrugated pipe only needs to be changed, and the postures of the bionic soft mechanical arm and the grasping system can be changed.

An underwater robot includes a body, a propeller connected to an end of the body, a controller, and first and second actuation units that output jets of fluid. The propeller propels the robot, and the controller stabilizes the robot using the jets of fluid. The controller determines which actuation unit to activate based on a calculation involving a yaw rate and a yaw angle of the robot.

A climb-on-wall robot with deformable caterpillar belts is composed of two deformable caterpillar belts uniformly equipped with sucking cups on its external surface, the job system between two caterpillar belts, main body, at least 4 belt rollers engaged with said caterpillar belts, and at least two supporting rod for said belt rollers and connected to said job system in movable mode.

The invention relates to a biped robot design containing a waist structure and a feedback control method. For the problem that high-torque work of ankle joints and a hip joint of a biped robot causessharp reduction of the life since the biped robot without the waist structure can stably walk by adjusting a center-of-gravity position by means of the ankle joints and the hip joint, the waist structure adding is proposed, and a waist structure design method and an optimization evaluation method are obtained through mechanics modeling and analysis; and meanwhile, in the walking process of the biped robot, a waist angle of pitch and the rollover angle are collected in real time, the robot waist gesture is online adjusted by combining a feedback control method based on waist adjusting, so thata center-of-gravity projection point of the robot is always located in a sole support polygon range. The biped robot can achieve an aim of stably walking by adjusting centroid distribution through waist feedback through the biped robot design disclosed by the invention, and an effective waist structure design and assessment method is proposed, and the design has the theoretic guidance and application value.

A system to design a virtual 3D model of the working robot so it can be tested in a virtual world is described. The system and the method for using same can be used to test, refine, redesign and improve multiple virtual prototypes of a robot. Once virtually tested, the optimized design specifications are printed out and used to build the optimized robot design.

The invention provides a rehabilitation training robot used for standing up and stepping. The rehabilitation training robot comprises a base, a lifting plate, a training bed, a first electric push rod mechanism used for pushing the training bed to rise, and a second electric push rod mechanism used for pushing the training bed to stand up. One end of the lifting plate is hinged to the base, and the other end of the lifting plate is hinged to the training bed. One end of the first electric push rod mechanism is hinged to the base, and the other end of the first electric push rod mechanism is hinged to the lifting plate. One end of the second electric push rod mechanism is hinged to the lifting plate, and the other end of the second electric push rod mechanism is hinged to the training bed. A weight reduction supporting system used for supporting a human body when the training bed is in the stand-up state and a stepping training system used for stepping training are connected to the training bed, and the stepping movement training is natural and relaxed. The rehabilitation training robot is suitable for different rehabilitation stages, and is especially suitable for stepping training of early-stage or ultra-early-stage patients. The stepping training robot is scientific and reasonable in design, convenient to use, comfortable, safe and beneficial to training of walking function rehabilitation of paralysis patients.