402 results about "Robotic assisted" patented technology

A non-transitory machine-readable media may store instructions that, when run by one or more processors, cause the one or more processors to generate stereo endoscopic image data of a medical field and define a medical field volume from the stereo endoscopic image data. The processors may also project a 3D representation of the medical field volume to an extended-reality display device in a remote volume. The 3D representation may include a stereoscopic image and a 3D scene generated from the stereo endoscopic image data. The processors may also generate visual guidance in the remote volume to augment the stereo endoscopic image, map the visual guidance from the remote volume to the medical field volume to generate an augmented image of the medical field volume, and project the augmented image of the medical field volume to a display device viewed by an operator of instruments in the medical field.

The invention relates to the technical field of navigation and positioning, and discloses an arthroscopic surgery navigation and positioning system based on artificial intelligence, which comprises a preoperative image processing and lesion analysis module for analyzing preoperative images, a multi-modal data fusion module for integrating image data from different sources in the surgery, and a navigation and positioning module for performing navigation and positioning on the integrated image data. The intra-operative real-time joint tracking and posture estimation module is used for tracking the joint position and soft tissue deformation in real time, the AI dynamic operation path planning module is used for intelligently optimizing the operation path, the robot auxiliary operation and automatic adjustment module is used for automatically adjusting the position and angle of an operation instrument, and the intra-operative AI voice and visual feedback module is used for providing real-time feedback. The operation data storage and intelligent learning module is used for storing and analyzing operation data. By means of the multi-modal data fusion technology, arthroscopic images, ultrasonic images and infrared images are combined, accurate visualization of an operation area is achieved, and the effect of improving operation accuracy and safety is achieved.

The invention provides an osteotomy path adjusting system in robot-assisted knee arthroplasty, and belongs to the technical field of knee joint detection. The system comprises a multi-modal data acquisition unit which comprises a knee joint pressure measuring gasket, an optical acquisition module and a kinematics data acquisition module, the knee joint pressure measuring gasket is used for acquiring knee joint pressure signals in an operation, and the optical acquisition module is used for acquiring relative poses of a femur and a tibia; the kinematics data acquisition module is used for acquiring kinematics data of the mechanical arm; the main control calculation unit comprises a data fusion module and a dynamic compensation module, and the data fusion module is used for constructing a synchronous spatio-temporal data set; and the dynamic compensation module is used for outputting a compensation instruction to the mechanical arm to adjust an osteotomy path based on the synchronous spatio-temporal data set, the preoperative predicted pressure prediction matrix and the soft tissue stiffness matrix. The pressure change in the operation can be responded in real time, the operation precision of the knee arthroplasty is improved, and the dependence on the experience of doctors can be reduced.

The invention discloses a modular visual guidance robot feeding and discharging device, and relates to the technical field of robot-assisted feeding and discharging equipment, and the modular visual guidance robot feeding and discharging device comprises a visual module which is installed on a production line and is used for identifying the position of a workpiece and outputting coordinate information; the manipulator module is mounted on the production line, and a clamp connecting mechanism and an end effector are arranged at the tail end of the manipulator module; the clamp module is installed at the tail end of the mechanical arm module through a clamp connecting mechanism, and the clamp module is electrically connected with the tail end executor and used for grabbing a workpiece; and the control system module is electrically connected with the vision module, the manipulator module and the end effector and is used for controlling the manipulator module to act according to the coordinate information output by the vision module and controlling the clamp module to act through the end effector. The production requirements of diversified products on different production lines can be met, and the universality and adaptability of equipment are improved.

A dynamic reference base (DRB) and associated method are provided for rigidly affixing an array frame to bone for use in navigated or robotic surgery. The DRB includes a bridge element that includes a connecting rod having a distal end and a proximal end; a clamp coupled to the distal end of the connecting rod; a first and a second pin guide extending distally from the clamp; a locking nut disposed on the clamp; and a clutch coupled to the proximal end of the connecting rod, the clutch being adapted to couple to the array frame. The DRB also includes the array frame, which is couplable to the clutch, and is adapted to include a plurality of tracking markers disposed thereon.

The invention discloses a teleoperation robot auxiliary system and method based on vision and imitation learning, the system comprises a teleoperation module, a skill learning module, a vision processing module and a virtual force auxiliary module, the teleoperation module realizes remote operation of a robot through an external control device; the skill learning module learns an expert operation track through a dynamic motion primitive algorithm to generate a generalization reference path, the visual processing module combines a three-dimensional target positioning technology of a Kinect depth camera to realize environment perception, and the virtual force auxiliary module constructs a self-adaptive virtual clamp force field based on a position error. A force selector mechanism is employed to dynamically adjust the haptic feedback intensity, guide force is applied to correct when the operation deviates from a reference trajectory, and the operation autonomy is maintained when the trajectory is fitted. Through the synergistic effect of expert track guidance and a visual constraint force field, the operation precision is remarkably improved.

The invention belongs to the field of quality detection, and particularly relates to a hydraulic engineering construction quality detection method, which comprises the following steps of: carrying out preliminary quality inspection on a dam through a visual inspection method; measuring the size, the flatness and the perpendicularity of the dam through an actual measurement method to judge whether the size, the flatness and the perpendicularity conform to construction specifications or not; acquiring data through an experimental method, and analyzing and judging project quality; by establishing an informatization management system, acquisition, uploading, analysis and report generation of detection data are realized. The construction quality of the water conservancy project can be effectively detected, and especially through auxiliary detection of the dam detection robot, the defects that an existing detection method is difficult to operate and wastes time and labor are overcome; the dam detection robot is used for ultrasonic detection and resiliometer detection, the operation method is simple, safety is high, time and labor are saved, and the implementation effect is good.

The invention discloses a robot-assisted real-time three-dimensional Doppler OCT (optical coherence tomography) angiography method and system, relates to the technical field of medical imaging, and can be used for carrying out real-time and large-view-field three-dimensional Doppler optical coherence imaging evaluation during a microvascular anastomosis operation and improving the anastomosis operation evaluation accuracy and efficiency. According to the system, a spectral domain optical coherence tomography system SD-OCT is used for performing spectral domain optical coherence tomography on a sample to obtain a sample cross-sectional image, and the sample cross-sectional image is sent to a display to be displayed. The OCT imaging probe and the binocular depth camera are integrally installed at the tail end of the robot arm, and the robot arm operates the OCT probe and the binocular depth camera to move to different positions and angles to image a sample. The OCT imaging probe collects optical signals reflected by a sample, and the signal processing host and the displayer receive spectral signals transmitted by the OCT imaging probe and display the three-dimensional structural characteristics of the microvessel and the blood flow velocity condition in the blood vessel.

The invention discloses a robot assisted diagnosis and treatment system for a nuclear medicine ward and an application method. The robot assisted diagnosis and treatment system comprises an AI robot for non-contact assisted diagnosis and treatment; the robot library is arranged on the same layer of the nuclear medicine ward; the remote interaction platform is used for issuing related instructions and man-machine interaction to the AI robot; a radiation protection and monitoring module, an identity recognition module, a health propaganda and education module, a ferry module, a visual doctor-patient communication module, a communication module, an RFID access control module and an environment disinfection module are integrated on the AI robot; the AI robot is connected with an external subcutaneous injection module, an external intravenous injection module, an external medicine distribution module and an external living goods conveying module through corresponding switching assemblies. According to the robot-assisted diagnosis and treatment system for the nuclear medicine ward and the application method, a semi-autonomous and remote interaction mode is used for replacing medical staff to execute face-to-face diagnosis and treatment behaviors with patients, and non-contact diagnosis and treatment are achieved through human-machine-patient high cooperation in the whole diagnosis and treatment process.

The invention provides an instrument force feedback and man-machine cooperative control method and system for minimally invasive surgery, and relates to the technical field of man-machine collaboration.The instrument force feedback and man-machine cooperative control method comprises the steps that a force sensor arranged at the tail end of a minimally invasive surgery instrument is used for collecting three-dimensional torque data, and the surgical operation safety state is recognized through a mixed deep learning model; and when risks exist, early warning is triggered, an active constraint mechanism is started, and real-time correction is carried out through reverse force feedback generated by a robot auxiliary system. A safety force domain range is calculated according to the torque data change, and trajectory optimization and acting force adjustment of the surgical instrument are achieved. The safety and accuracy of the minimally invasive surgery can be effectively guaranteed, and the medical risk is reduced.

Disclosed herein is a mobile interface device to control a robotically-assisted surgical system. The mobile interface device provides a surgeon with a direct view of the surgical robotic system and allows a surgeon to easily and intuitively select, control, or manipulate various target components of the surgical robotic system. The mobile interface device may capture a live image of the surgical robotic system to automatically identify a robotic arm that appears in the center of the captured live image as the target component selected by the surgeon. Based on the current pose or position of the target component, the mobile interface device may generate a list of target poses and control options. The surgeon may select a control option to select a target pose and to manipulate the target component to command a robotically-assisted movement of the selected robotic arm from the current pose to the target pose.

The invention discloses an intelligent magneto-rheological track for robot-assisted machining and application thereof, and the intelligent magneto-rheological track comprises a magneto-rheological unit module which is made of a magneto-rheological material, the magneto-rheological material is packaged in a flexible film, and a coil unit for generating a magnetic field is wound outside the flexible film; and the track control system can control the magnetic field size and the magnetic field distribution of each position of the magnetorheological unit module according to the corresponding relation of the appearance, the shape and the magnetic field of the magnetorheological unit module, and the magnetorheological unit module is adjusted to have the required appearance and the required shape. The magnetic field of the magneto-rheological unit module is regulated and controlled, so that the magneto-rheological unit module can have the rigidity required by operation and operation of the robot, and the magneto-rheological unit module can be regulated to be in the set shape and shape, so that the magneto-rheological unit module can adapt to working faces of various different shapes and different robots; and the robot can be used for machining in large-curvature areas such as aircraft surface skins and narrow space scenes such as air inlet channels.

The invention discloses an agricultural environment perception and robot-assisted picking method based on vision, and the method employs an end-to-end detection, tracking and classification frame, comprises five independent modules: object detection and tracking, feature extraction, activity recognition, target position estimation, and a robot scheduler, obtains information through employing an RGB camera and a two-dimensional laser radar, and carries out the detection and classification of the information. By customizing long and short-term memory network processing data, compared with other methods, an end-to-end architecture adopted by the method can enable the system to comprehensively process the whole process from activity detection of a picker to auxiliary operation of a robot, and adopted multi-camera information fusion can accurately estimate the positions of the picker in different distance ranges, so that the accuracy of picking is improved. And the behavior activity of the picker can be accurately predicted by adopting the customized long-short-term memory network.

A system, apparatus and method are provided for robotically assisting the harvest of a crop. Instrumented picker carts include sensors for detecting amounts of harvested crop (e.g., fill ratios) of containers carried by the carts, communication modules for communicating their locations and detected crop amounts to a field computer, and components for signaling for robotic service. The field computer predicts when a cart that requests service will have a full container and where it will be located at that time, then decides whether to approve the request. If the request is approved, a robot is assigned and is given (or generates) a path to the cart's predicted location, and begins moving toward the location so as to arrive near (and preferably before) the predicted time. Robots include means for moving (e.g., wheels, motors, steering components, power sources), navigation modules, computing components for controlling their movement, and communication modules.

: The present invention covers an automatic laser welding machine for tube parts. It consists a multi-axis robotic arm auto loader unloader, a fibre laser system, an XYZ granite table based precision motion stage, a laser welding head, a machine vision alignment and quality control system, a machine vision processing monitoring system, a machine control PC, work parts holding trays, tube parts holder and fixture, machine safety enclosure, etc. Additional safety features such as emergency stop buttons and door interlock circuit are installed to ensure the machine and operator's safety.

The invention discloses an improved RRT path planning method for robot-assisted puncture based on SAC guided sampling, and the method comprises the steps: carrying out the reconstruction of a human chest and abdomen actual physiological structure three-dimensional model based on a CT image, and obtaining the human chest and abdomen actual physiological structure three-dimensional model as an obstacle for subsequent path planning; establishing a reinforcement learning environment based on the obstacle, including setting a state space, an action space and a reward function; in a reinforcement learning environment, based on obstacles, adopting an SAC algorithm to carry out SAC guide sampling model training of flexible needle path planning; adjusting and optimizing target parameters of the SAC guide sampling model based on obstacles; and sampling in the improved RRT path planning based on a mixed sampling strategy by using the parameter-optimized SAC guide sampling model to obtain a feasible path. Through a mixed sampling strategy, balance is obtained between the global search capability of uniform sampling and the local optimization capability of non-uniform guide sampling, so that the adaptability and planning efficiency of the algorithm in a complex scene are improved.

A robotic system to facilitate simultaneous human laborer and robotic tasks on an article. The system includes data acquisition from a non-point cloud camera and implementation by a mid-tier consumer grade workstation. Nevertheless, a motion plan may be carried out by the robotic aid in a manner that allows for “on-the-fly” adjustment to a second motion plan to avoid collision with the laborer during the performed tasks.

The invention discloses a robot-assisted execution system and method based on a pre-planned puncture scheme, and belongs to the technical field of medical robots. The method comprises the following steps: acquiring medical image data including a target area and a forbidden area; for the target area, a discrete candidate trajectory set is generated in a preset candidate trajectory generation cone, and each candidate trajectory is a space path connecting one point in the generation cone and the target area; performing a rigid geometric constraint check on the discrete candidate trajectory set to screen out candidate trajectories having geometric interference with the forbidden area to obtain a preliminarily purified candidate trajectory subset; executing a flexible quality index evaluation on each candidate trajectory in the candidate trajectory subset, and obtaining a comprehensive quality index for each trajectory; selecting a preferred execution track from the subset according to the comprehensive quality index; and the robot execution system is controlled, and puncture operation is completed according to the optimal execution track. The safety and clinical interpretability of a puncture path are improved.

The invention discloses a control method for robot-assisted laser in-situ windowing, which comprises the following steps: receiving an execution instruction sent by a main control end through a robot catheter system, sending a laser fiber into a target artery, and enabling the laser fiber to be in accurate contact with a stent covering film; a laser energy closed-loop control subsystem is combined to accurately ablate holes in a stent covering film through a photochemical effect and a photothermal effect, and laser windowing is achieved; in the laser windowing process, the thickness of the blood vessel wall is measured in real time based on optical coherence tomography, and the laser ablation process is detected based on photoacoustic monitoring, so that the laser power is dynamically adjusted, and it is ensured that the thermal damage range in the laser windowing process is smaller than 200 microns. Therefore, accurate creation of the channel between the aortic dissection false cavity and the true cavity is achieved, hemodynamic balance is recovered, the operation accuracy is improved, and the risk of complications in the perioperative period is reduced.

Disclosed systems, apparatuses, and methods enable remotely controlling robotic-assisted medical systems, such as robotic-assisted surgery systems. Disclosed approaches facilitate deployment and improve the safety of robotic-assisted procedures.

Embodiments of the present disclosure provide methods, apparatuses, and computer program products configured to engage a mobile device with an electrical connector. Embodiments include a mobile device engagement system including one or more imaging devices, a robot arm, and at least one computing device. The one or more imaging devices are configured to capture one or more images of the mobile device. The robot arm includes an end effector configured to engage and facilitate positioning of the mobile device. The at least one computing device is configured to, using the one or more images, control the robot arm to engage the mobile device with the end effector, and control the robot arm to position and engage the mobile device with the electrical connector.

A surgical navigation system is provided to create a plan to correct a deformed spinal alignment. A processor is configured to obtain a first set of image data associated with a deformed alignment in a spine of a patient from at least one imaging device. The processor is also configured to process the first set of image data to identify a set of deformed alignment parameters associated with the deformed alignment. The processor is further configured to identify a set of corrected alignment parameters. The processor is also configured to process the first set of image data, the set of deformed alignment parameters, and the set of corrected alignment parameters to generate a correction plan to surgically manipulate the deformed alignment to the preferred alignment. The processor is additionally configured to provide navigation through the correction plan to facilitate surgical manipulation of a patient spine to the preferred alignment. The processor is also configured to receive information relating to forces on a rod-link reducer or surgical implants from strain gauges to aid the correction plan.

The invention relates to the technical field of robot auxiliary equipment, in particular to an industrial robot multi-working-condition flexible quick-change tail end grabbing mechanism and a method thereof.The industrial robot multi-working-condition flexible quick-change tail end grabbing mechanism comprises a movable disc and a butt joint disc arranged above the movable disc, the movable disc comprises a movable disc body, and two clamping grooves are formed in the top face of the movable disc body. According to the multi-working-condition flexible quick-change tail end grabbing mechanism of the industrial robot and the method of the multi-working-condition flexible quick-change tail end grabbing mechanism, linkage of radial locking and axial fixing is achieved through the sliding rod, when the sliding rod is driven to move, horizontal movement is converted into compound movement that a movable pin is inserted firstly and then jacked upwards through cooperation of a rotating shaft and a guide groove in a specific shape, and therefore the working efficiency is improved. The movable pin can be inserted into the clamping groove, upward abutting and axial fixing supplement can be achieved, multi-dimensional rigid connection is formed between the movable disc and the butt joint disc, the capacity of resisting complex torque is greatly enhanced, and the stability of the end effector in work is improved.

The invention relates to a robot, a control device and a robot-assisted building equipment group system. The invention discloses a robot which comprises the following steps: receiving illumination state information of illumination areas, operation state information of an elevator and task information, planning a moving path according to the illumination state information of each illumination area, the operation state information of the elevator and the task information, and moving according to the moving path; and an elevator request signal and a lighting request signal are generated according to the moving path and sent to control equipment, the lighting request signal is used for adjusting the lighting state of the lighting area, and the elevator request signal is used for adjusting the running state of an elevator. The robot has the advantages of being energy-saving and safe in operation.

The present invention relates to a method for assisting elevator load detection by using a stacking and carrying robot, comprising the following steps: S1, the stacking and carrying robot carries weights into the elevator compartment, and the weight carrying platform (20) thereof is used only as a counterweight stacking area except for a support portion (34) provided on the side for a rectangular coordinate slider module, wherein the support portion (34) is a movable support portion so that the rectangular coordinate slider module can move horizontally, and one end of the rectangular coordinate slider module can extend toward a space outside the weight carrying platform (20); S2, the rectangular coordinate slider module moves the weights (80) out of the weight carrying platform (20) as needed and places them in the elevator compartment; S3, the stacking and carrying robot leaves the elevator compartment and performs an elevator load detection; S4, repeating steps S2 and S3; S5, the rectangular coordinate slider module moves the weights (80) in the elevator compartment back to the weight carrying platform (20). The present invention uses a relatively simple structure to achieve an increase in weight carrying capacity, so that it can meet the five-level test load requirements.

Disclosed systems, apparatuses, and methods enable remotely controlling robotic-assisted medical systems, such as robotic-assisted surgery systems. Such disclosed approaches provide a scalable, flexible, and efficient network for connecting physician consoles and robotic-assisted medical systems. The network can support advance or on-demand resource reservations for robotic-assisted medical procedures. Disclosed approaches improve efficiency, availability, and safety of remotely-controlled robotic-assisted medical procedures.

The application discloses a seabed garbage cleaning device, which comprises a garbage grabbing robot, an auxiliary storage and transportation robot, a garbage storage and transportation auxiliary ship, a signal cable and an umbilical cable; the auxiliary storage and transportation robot is connected with the garbage grabbing robot through the umbilical cable, forms a negative pressure, sucks the grabbed garbage from the garbage grabbing robot into the auxiliary storage and transportation robot, and then transfers the garbage into the garbage storage and transportation auxiliary ship; the garbage grabbing robot is connected with the garbage storage and transportation auxiliary ship through the signal cable; the garbage grabbing robot comprises an upper cavity, a lower cavity, a cavity mechanical claw and a robot propulsion system; the upper cavity and the lower cavity enclose a negative pressure cavity; the lower cavity is provided with the cavity mechanical claw and the robot propulsion system. The application further discloses a seabed garbage cleaning system which comprises the seabed garbage cleaning device and a controller. The application further discloses a seabed garbage cleaning method. The application can collect garbage in a way that can avoid stirring seabed silt as much as possible and reduce the influence of the collecting process on seabed organisms.

Embodiments of the present disclosure relate to a robot-assisted gripping device (1) for picking up and placing a storage bin (2), comprising: a frame (10) configured to be mounted on an end effector (31) of a robot (3); and a plurality of gripping units (110) comprising: at least one first gripping unit (110-1) mounted on a first side (11) of the frame (10) and configured to grip a first side wall (21) of the storage bin (2); and at least one second clamping unit (110-2) mounted on a second side (12) of the frame (10) and configured to clamp a second side wall (22) of the storage bin (2); wherein the first side (11) and the second side (12) are non-opposing sides of the frame (10), and the first side wall (21) and the second side wall (22) are non-opposing side walls of the storage bin (2).

Systems that may be used for performing a robotic revision knee arthroplasty are disclosed. Such systems can optionally include a processor that can: intraoperatively receive a plurality of position data obtained by a robotic surgical device after a primary implant has been removed from a bone, the plurality of position data correspond to a plurality of landmarks of the bone of a patient, the plurality of landmarks include a position of an intramedullary canal of the bone; select from a database having a plurality of mean models of a corresponding bone a mean model that comprises a best match based upon the plurality of landmarks of the bone: generate an updated model by altering the mean model to fit an anatomy of the bone of the patient based upon the plurality of landmarks; and output to a user interface the updated model for use during the robotic revision knee arthroplasty.

Provided is a nanoparticle-mediated targeted drug delivery robotic system for the precision treatment of breast cancer. **Solution**: This system 100 integrates robot-assisted movement, real-time image processing, an artificial intelligence-driven control mechanism, and sensor-guided targeting to ensure the accurate delivery of therapeutic drugs to cancer tissue while minimizing damage to surrounding healthy structures. The system consists of a six-degree-of-freedom articulated robotic arm 102, a drug release control actuator 114, a targeting module 106 equipped with optical and electromagnetic sensors, and a control unit 110 equipped with machine learning technology for real-time decision-making. The image subsystem 112 utilizes magnetic resonance imaging, ultrasound, and infrared imaging to provide a detailed anatomical and functional view of breast tissue. The artificial intelligence-driven technology of this system continuously processes image and sensor data, guides the robotic arm towards the tumor site, and dynamically adjusts the positioning based on physiological movements and tissue changes. A force feedback mechanism minimizes tissue damage during insertion, and an automatic calibration system finely adjusts the movement of the robotic arm in real time. The actuator is designed as an electric syringe or a controlled valve system to accurately administer nanoparticle-based therapeutic drugs directly to the tumor, optimizing the drug efficacy while suppressing systemic toxicity.