297 results about "Assistive robotics" patented technology

The invention relates to the technical field of medical auxiliary equipment, in particular to an infusion injection auxiliary robot and a disinfection mechanism, the disinfection mechanism comprises a cotton swab disinfection execution assembly, and the cotton swab disinfection execution assembly comprises at least one gripper for gripping cotton swabs and a driving source for driving the gripper to move on a material taking station, a material loading station and a material unloading station; the discharging end of the cotton swab conveying assembly is located at the material taking station, and the cotton swab conveying assembly is used for conveying cotton swabs to the material taking station; the cotton swab feeding assembly is located at the feeding station and used for driving the cotton swabs located above the cotton swab feeding assembly to rotate and ascend on a gripper; the cotton swab discharging assembly is located at the discharging station and used for discharging the cotton swabs on the tongs; the disinfection assembly is used for disinfecting the cotton swabs located on the feeding station. The automatic infusion device has the advantage that the disinfection problem of the automatic infusion device can be solved.

Fully automatic welding forming equipment for a special-shaped three-dimensional workpiece and a welding method is provided. The welding forming equipment includes a base station, a welding robot, a displacement worktable, an auxiliary robot, and a hopper. The welding robot, the auxiliary robot and the hopper are arranged on the base station, and the displacement worktable is arranged between the base stations. The displacement worktable adopts the structure of main and sub double frames and main and sub double rotary power, which has multiple degrees of freedom, and can flexibly adjust the position and angle of the welded parts, realize the welding requirements of any position and angle, and meet the welding operation requirements of complex special-shaped three-dimensional components without manual repair welding operation, and the multi-point welding can be realized through the cooperation of welding robot and auxiliary robot to improve the welding efficiency and quality.

The invention provides a chameleon-imitated self-growing throat swab sampling robot, which comprises a robot body, which is formed by self-growing a flexible material in a pneumatic mode, an internal channel communicated with the atmosphere is formed in the robot body, and the throat swab is grabbed and released according to the change of the grabbing length of the throat swab by the internal channel; the driving storage mechanism is connected with the front end of the robot body and is used for storing the flexible material required by the growth of the robot body and providing power for the growth and recovery of the robot body; the pneumatic artificial muscle is located on the surface of the robot body and used for controlling the pose of the tail end of the robot. The tail end executing mechanism is located at the tail end of the robot body and comprises a recycling structure and a data collecting module, and the recycling structure guides the flexible material in a rolling friction mode so as to assist recycling of the robot body. According to the method, the predation process of aiming, launching, swallowing and withdrawing of a chameleon is imitated, the flexibility and conveying characteristics of the self-growing robot are fully utilized, and rapid and safe collection of the throat swab is achieved.

The invention belongs to the related technical field of bionic flapping-wing robots, and discloses a water-air amphibious bionic flapping-wing robot with chordwise bimodal flapping wings, which comprises a main body, the chordwise bimodal flapping wings, an empennage, a cross-medium mechanism, a control unit and a flexible skin, the main machine body is a main supporting component of the robot, and the chordwise bimodal flapping wings are installed on the left side and the right side of the main machine body and oscillate up and down in a reciprocating mode to drive the flexible skin covering the chordwise bimodal flapping wings to generate power. The empennage is fixed to the rear end of the main fuselage to assist the robot in posture adjustment. The cross-medium mechanism is installed at the front end of the main machine body and used for providing impulsive force for cross-medium movement of the robot. And the control unit is connected with each component through a signal line. The bionic flapping-wing robot has an overwater motion mode and an underwater motion mode in the chordwise direction of the flapping wing, the overwater motion mode is beneficial to generation of lift force in the air, the underwater motion mode is beneficial to reduction of power consumption in water and concentration of power in the thrust direction, and the use environment and scene of the bionic flapping-wing robot are expanded.

Systems, devices, and methods for planning an endoscopic tissue acquisition procedure for acquiring tissue from an anatomical target are disclosed. An endoscopic system comprises a steerable elongate instrument and a processor. The steerable elongate instrument can be positioned and navigated in a patient anatomy and acquire tissue from an anatomical target via a biopsy tool associated with the steerable elongate instrument. The processor can receive an image of the anatomical target, apply the received image to a trained machine-learning (ML) model to determine a tissue acquisition plan that includes a recommended biopsy tool and operational parameters for navigating the steerable elongate instrument or maneuvering the recommended biopsy tool. The tissue acquisition plan can be presented to a user, or used to facilitate a robot-assisted tissue acquisition procedure.

The invention discloses an intelligent obstacle avoidance and path planning method and system for a medical auxiliary robot, and the method comprises the steps: obtaining multi-modal data from the medical auxiliary robot, and constructing a three-dimensional environment perception model according to the multi-modal data; identifying according to the three-dimensional environment perception model to obtain a character type and an equipment condition, and performing intelligent obstacle avoidance according to the character type, the equipment condition and a preset obstacle avoidance priority rule; performing crowd behavior prediction according to the multi-modal data and a preset social force model, and performing intelligent obstacle avoidance according to a crowd behavior prediction result; and calculating an optimal path according to the three-dimensional environment perception model, and performing path planning according to the optimal path. The method can improve the execution efficiency and flexibility of the medical auxiliary robot in a complex hospital environment, and can be widely applied to the technical field of path planning.

The invention discloses a medical logistics robot task allocation system based on time division multiplexing and dynamic scheduling, which comprises a cloud platform, a plurality of robots and a cabin body replacement station, and is characterized in that the cloud platform adopts a conflict resolution strategy based on priority and time windows on the basis of task time division and class division allocation logic of a mixed AI scheduling algorithm; tasks are dynamically and intelligently distributed according to hospital business laws and real-time states of the robots; the robot communicates with the cloud platform through the communication equipment, various tasks issued by the cloud platform are executed by carrying various cabins, and the tasks comprise material distribution, cleaning, disinfection and polling; and the cabin body replacement station is used for providing cabin body replacement equipment and assisting the robot in replacing the cabin body. According to the invention, tasks can be dynamically and intelligently allocated according to hospital business rules and real-time states of the robots, so that the task processing efficiency and the resource utilization rate are remarkably improved, and the hospital logistics operation cost is reduced.

The invention relates to the technical field of shooting robots, in particular to a shooting assisting robot which comprises a moving chassis module, a lifting adjusting module, an angle adjusting module, a shooting module, a storage module, a multi-mode interaction module and a cooperative control module. The storage module is arranged on the movement chassis module, the storage module comprises a storage box, a storage control mechanism, a door opening and closing mechanism and a placement box, the storage box is arranged on the movement chassis module, an opening is formed in the storage box, and the storage control mechanism is used for controlling the placement box to be stored in the storage box or stretch out of the opening; the door opening and closing mechanism is used for sealing the opening after the placement box is stored in the storage box; by arranging the storage module and the storage control mechanism, the storage box can be controlled to be stored in the storage box, all the shooting assemblies can be effectively protected and prevented from being damaged by the outside, the core problems that traditional equipment is complex in operation, poor in environmental adaptability, insufficient in safety and the like are solved, and the shooting efficiency and the creation freedom degree are remarkably improved.

The invention discloses a mobile AI energy storage charging robot. The mobile AI energy storage charging robot comprises an AI robot main body and a charging module, the AI robot main body comprises a mobile platform, an energy storage module, a communication module, a navigation and sensor module and an AI control module; the moving platform is used for assisting the robot to move in different terrains; the energy storage module is used for storing energy and supporting bidirectional charging and discharging; the AI control module is used for realizing the functions of task scheduling, energy distribution and path planning; the navigation and sensor module is used for environment perception and obstacle detection; the communication module is used for data exchange and cooperation; the charging module is used for charging target equipment; the charging module supports quick charging and can dynamically adjust charging current and voltage based on the battery state of the target equipment or the vehicle; the AI control module optimizes a charging task and a path through a deep learning model, and efficient task scheduling and energy utilization optimization are realized.

The invention relates to a blind person travel assisting robot which comprises a hardware structure and a control module, and the control module comprises a navigation and positioning module, an AI intelligent control module and a remote monitoring module. The navigation and positioning module comprises map drawing, path planning and obstacle avoidance and fusion positioning, the AI intelligent control module comprises a sensor system, a voice interaction module, a tactile feedback module and an intelligent decision module, the hardware structure comprises a traction device and a mobile robot, and the traction device is provided with a touch feedback device. The touch feedback device comprises multiple sets of linear motors, obstacle information is coded through vibration of different frequencies, the mobile robot is of a circular structure, and a crawler belt is arranged at the bottom of the mobile robot. According to the auxiliary robot, through fusion of multiple positioning modes, the positioning precision and reliability are improved, it is ensured that the robot accurately knows the position of the blind person, and therefore the guiding service is better provided for the blind person.

The invention discloses a robot target navigation method, device and equipment and a medium. The method comprises the following steps: constructing a basic language instruction through a preset language model according to a fuzzy instruction input by a user and a preset family knowledge graph; performing information expansion through the preset language model according to the basic language instruction and preset reference information, and generating a target language instruction; generating a target navigation instruction from the target language instruction and a collected environment image through a preset visual language model; and controlling the robot to move according to the target navigation instruction. The method can be applied to robot navigation scenes in the business fields of medical treatment, health, old-age care and the like. By generating the target navigation instruction to control the robot to move, the problem that an indoor auxiliary robot with a visual language model cannot efficiently provide services for old people can be solved.

The invention belongs to the field of medical rehabilitation equipment and robot control, and particularly relates to a self-adaptive control system and method applied to a walking assisting robot, and the system comprises a sensor information collection module which is used for collecting sensor information at each position of the walking assisting robot in real time, the intention identification and environment identification module and the self-adaptive control module are used for identifying the environment; the intention recognition and environment recognition module is used for recognizing and analyzing a user walking intention including the walking direction and speed, selecting different walking modes according to feedback signals and sending the different walking modes to the self-adaptive control module; meanwhile, ground gradient changes when the user assists in walking are recognized, different assistance or resistance modes are selected according to feedback signals, and the modes are sent to the self-adaptive control module; and the adaptive control module dynamically adjusts the magnitude and the direction of the speed command of the motion control module, and dynamically adjusts according to modes for providing different assistance or resistance.

The embodiment of the invention provides a full-automatic mouth following meal assisting method and system based on machine vision, and belongs to the technical field of man-machine interaction of feeding assisting mechanical arms. The meal assisting method comprises the steps that a mechanical arm base coordinate system is established according to the position relation between a mechanical arm and a depth camera; obtaining a face two-dimensional image; obtaining mouth postures of key points of the face two-dimensional image based on an improved direct linear transformation algorithm; judging whether a feeding condition is met or not according to the mouth posture; when it is judged that the feeding condition is met, the mechanical arm obtains a feeding track according to teaching learning so as to carry out feeding operation; whether the mechanical arm completes the feeding operation or not is judged; under the condition that it is judged that the mechanical arm completes the food taking operation, the mouth posture is updated, and a food delivery track is obtained according to the mouth posture; and the mechanical arm executes meal delivery operation according to the meal delivery track. According to the invention, the direct linear transformation algorithm is improved to obtain the mouth posture, so that the detection precision and robustness are improved, and the feeding track is generated according to the real-time mouth posture, so that the feeding precision is improved.

The invention relates to a tea cake pressing auxiliary robot system which comprises a mechanical arm used for controlling a clamp to conduct multi-angle displacement. The clamp is arranged on the mechanical arm and comprises a support, a clamping and dumping device, an inner flying paper suction device, a tea grabbing device and a tea smoothing device; the bracket is U-shaped, and a mounting hole is formed in the bottom of the bracket; the inner flying paper suction device, the tea leaf grabbing device and the tea leaf smoothing device are arranged on the outer surfaces of side arms on the two sides of the support respectively; the clamping and dumping device is arranged in the bracket; the cake pressing workbench is provided with a mold and a pressing head, and the tea leaves are pressed downwards through the pressing head to be pressed and formed after being poured into the mold. By means of the tea cake auxiliary robot system, automation of the tea cake pressing process is achieved, the situation that due to non-uniform manual intervention operation, the quality of processed tea cakes is not uniform is avoided, and the overall quality of products can be improved.

The invention discloses an automatic material system which comprises a feeding mechanism, a quick-change grabbing mechanism, a turnover mechanism, a labeling device, a circulating conveying device, a discharging mechanism and a visual system. The feeding mechanism is used for feeding and conveying products; the discharging mechanism is used for discharging and conveying products. The overturning mechanism is used for overturning the product; the labeling device is used for labeling the overturned products; the circulating conveying device is used for conveying the products to a downstream station for assembling and testing and conveying the products back to the automatic material system; the visual system is used for product code scanning and appearance detection; and the quick-change grabbing mechanism quickly and stably completes switching of the material taking jigs to clamp products at different stations. By arranging the grabbing and quick-changing mechanism and the overturning module, the robot can be assisted in efficiently completing the process of feeding, overturning, labeling and discharging of power products, manual work is not needed during model changing and line changing, the automation degree is high, and stability and reliability are achieved.

The invention discloses a large-model visual impairment assisting robot system based on edge cloud collaboration, and is applied to the technical field of intelligent robots. Comprising a walking assembly, a framework support, a sitting and lying structure and an electrical control system. The walking assembly is arranged below the framework support and used for achieving movement and steering of the auxiliary robot. The sitting-lying structure is arranged in the middle of the framework support and used for achieving a seat function. And the electrical control system is used for realizing sensing and control functions. According to the invention, a large language model, a visual identification model, a voice synthesis model and a mobile robot platform are fused, multiple auxiliary services such as autonomous navigation, environment description, voice interaction and the like can be provided for visually impaired people in public culture or living places, and the travel independence, the information acquisition capability and the culture participation degree of the visually impaired people are remarkably improved.

Disclosed herein are systems and methods for using a robotic surgical system comprising a GUI and a robotic arm.

The invention provides an automatic charging method and device for an auxiliary robot, equipment and a storage medium, and the method comprises the steps: obtaining a state data set of a charging station, and generating a charging station state matrix according to the state data set; performing long-short-term memory network model training and prediction processing on the charging station state matrix to obtain expected utilization rate data of the charging station in a preset time period; attribute data of the auxiliary robots are obtained, weighted evaluation is carried out on the attribute data, and a dynamic priority matrix of each auxiliary robot is obtained; performing deep learning network training and optimization processing on the charging station state matrix and the dynamic priority matrix to obtain an optimal charging scheduling strategy; determining a target charging path of the auxiliary robot according to preset three-dimensional map information, the expected utilization rate data and the optimal charging scheduling strategy, wherein the preset three-dimensional map information comprises three-dimensional position information of the charging station; and controlling the auxiliary robot to perform automatic charging according to the target charging path.

The invention discloses a robot data analysis decision method and system based on a neural network, and relates to the technical field of robot production, and the method comprises the steps: obtaining the state data of a local robot; acquiring state data of other local robots, and selecting the robot with the highest comprehensive score as an auxiliary robot; collecting local data and auxiliary data; performing modal noise reduction, feature extraction and fusion on the local data and the auxiliary data by using the neural network preprocessing layer to obtain an environment representation vector; determining a bottom risk by using a Bayesian network; analyzing a risk evolution trend by using a knowledge graph; and inputting the underlying risk and the risk evolution trend into the reinforcement learning model, and outputting an optimal decision. According to the method, the deficiency of single-robot sensing is made up through multi-robot cooperative data acquisition, noise reduction and deep feature extraction of interfered data are realized by means of neural network preprocessing, and the environment sensing accuracy, risk assessment precision and decision reliability of the robot in the interference environment are improved.

The invention discloses a robot positioning and navigation system based on a three-dimensional laser radar and cross photoelectric correction, and the system comprises a navigation task starting module, a real-time data collection module, a positioning deviation calculation module, and a cooperative obstacle avoidance module. The auxiliary positioning robot constructs a platform track cooperative positioning reference; a robot in the real-time data acquisition module performs real-time data acquisition and synchronization; the positioning deviation calculation module is used for calculating the positioning credibility and adjusting sensor parameters and navigation paths based on the difference between the crossed photoelectric data and the standard database and the fitting degree of the image of the auxiliary robot and the positioning of the inspection robot; the cooperative obstacle avoidance module monitors station obstacles in real time, synchronous and safe start and stop of the double robots are ensured, high-precision positioning and dynamic correction are achieved through cooperation of the double robots, the positioning error is reduced, the subway night short-time window inspection requirement is met, and the inspection precision and efficiency are improved.

The magnetic suspension type flexible wall-climbing robot comprises a first rack, supports are installed at the two ends of the first rack, and cameras are installed on the two supports to assist robot operation and environment perception; the two dynamic balance units are symmetrically distributed, the distance sensor controls the dynamic balance units to conduct angle adjustment, the lower end of the first rack is provided with two first magnetic attraction pieces which are symmetrically distributed, and the two ends of the first magnetic attraction pieces are provided with two movable second magnetic attraction pieces which are symmetrically distributed. And each second magnetic attraction piece is movably arranged at the lower end of the second rack, third magnetic attraction pieces are distributed at the two ends of each second magnetic attraction piece, and the third magnetic attraction pieces are installed on the magnetic attraction wheels. The falling risk caused by attitude imbalance is effectively prevented, and the safety and reliability of operation are greatly improved.

A medical intervention assistance robot is described. The medical intervention assistance robot comprises a first operating arm configured to handle a non-sterile object, a second operating arm configured to handle a sterile object and a support unit configured to support the first operating arm and the second operating arm. The medical intervention assistance robot also comprises a control unit configured to control a movement of the first operating arm and a movement of the second operating arm. Further, a medical intervention method using a medical intervention assistance robot is described.

The automatic welding system of the welding robot comprises a mechanical arm and a welding gun, the welding gun is fixed to the end of the mechanical arm, the automatic welding system further comprises a welding wire replacing device and a plurality of welding wire rollers, and welding wires on the welding wire rollers are all installed on the welding wire replacing device; the welding wire replacing device is installed on the mechanical arm and connected to the welding gun through a guide pipe. The welding wire replacing device is used for guiding welding wires on different welding wire rollers into the guide pipe. According to the system, a plurality of welding wire rollers can be installed at the same time, the welding wire of the next welding wire roller is automatically connected after the current welding wire is used up, continuous welding operation can be completed without manual intervention, and the production efficiency is greatly improved; the equipment is simple and reliable, a new auxiliary robot does not need to be added, the equipment cost and the use cost are greatly reduced, and existing equipment can be conveniently transformed and upgraded.

A lift device includes a lift apparatus for raising and lowering a robotic attachment. The lift apparatus includes a base assembly, the base assembly including a prime mover to rotate one or more wheels. The robotic attachment includes a base, a primary robotic implement, and a secondary robotic implement, each moveable independent of the base. The robotic attachment further includes a stabilizer bar coupled to the base and configured to engage with an external support to provide a stabilizing force to the robotic attachment. At least one of the primary robotic implement and the secondary robotic implement are configured to move one or more end effectors to perform a welding operation, including a weld gun, a weld lead, and a needle scaler. The lift apparatus may also include a control system configured to position the robotic implements in a plurality of preset positions.

The invention discloses a shear wall steel bar binding auxiliary robot, and relates to the technical field of steel bar binding. The robot comprises a caterpillar band moving platform, a hydraulic lifting platform, a six-axis mechanical arm, a hydraulic clamping jaw, a hydraulic system and an electrical control system. The crawler moving platform comprises a rack, a crawler mechanism is arranged on the rack, a swing supporting leg is hinged to the rack, a hydraulic telescopic rod is arranged on the swing supporting leg, the hydraulic lifting platform comprises a fixed support, the fixed support is connected with a sliding support II, the sliding support II is connected with a sliding support I, and a mounting plate is arranged at the top of the sliding support I; the six-axis mechanical arm is connected with the mounting plate, the hydraulic clamping jaw is connected with the six-axis mechanical arm, the hydraulic clamping jaw is provided with two clamping jaws for clamping reinforcing steel bars, and the hydraulic system and the electrical control system control the crawler moving platform, the hydraulic lifting platform, the six-axis mechanical arm and the hydraulic clamping jaw to operate. The auxiliary robot for binding the shear wall reinforcing steel bars has the beneficial effects that manpower is saved, the construction efficiency is improved, and the construction quality is improved.

Methods and systems for determining changes in muscle activity patterns based on the optical response of subcutaneous human body structures are presented, along with methods and systems for controlling assistive robotic systems based on the measured muscle activity patterns. Elements of a muscle activity measurement system are mechanically coupled to a wearable structure that fits closely to a portion of the body of a human user. The muscle activity measurement system includes multiple emitters and detectors at different spacing along the skin surface. In some embodiments, the illumination intensity of each measurement channel, the programmable gain of each measurement channel, or both, are calibrated to maximize measurement sensitivity. In some embodiments, optical measurement data is employed to more accurately locate the muscle activity measurement system with respect to the human body. In some embodiments, a muscle activity measurement system tracks changes in muscle structure over time.

The embodiment of the invention provides a target grabbing method and device and a robot. In the embodiment of the invention, the 2D image acquisition equipment such as a 2D camera is used for assisting the mechanical arm of the robot to realize target grabbing, and compared with a 3D camera, the hardware cost is effectively reduced. According to the embodiment of the invention, the first relative pose of the reference object coordinate system relative to the mechanical arm base coordinate system when the target object is in the reference pose and the teaching pose of the mechanical arm when the target object is in the reference pose are taken as the reference; and in combination with a second relative pose of the reference object coordinate system relative to the base coordinate system of the mechanical arm when the target object is in the non-reference pose, the target pose of the mechanical arm capable of successfully grabbing the target object in the non-reference pose can be determined, so that the target object in the non-reference pose can be grabbed, namely disordered grabbing is realized. In this way, the situation that the grabbing speed is affected by the scanning speed of the 3D camera can be avoided, and therefore the target grabbing efficiency is effectively improved.

The invention relates to the technical field of service robots, in particular to an auxiliary maintenance method and system based on an equipment intelligent diagnosis and guarantee cloud platform, and the method comprises the steps: firstly building the equipment intelligent diagnosis and guarantee cloud platform in a maintenance auxiliary robot system; carrying out three-dimensional modeling on the equipment based on the equipment intelligent diagnosis and guarantee cloud platform, and constructing a three-dimensional model; generating a three-dimensional animation of the equipment structure and the fault maintenance process according to the three-dimensional model; and finally, querying the equipment structure and the fault maintenance process according to the voice instruction, and explaining and demonstrating in a voice or animation mode. According to the invention, the requirement for the capability of operators is reduced, and the equipment maintenance learning and fault processing efficiency is improved.

The invention provides an auxiliary robot in an operation process, which comprises a guide rail, a moving mechanism is arranged on the guide rail, the moving mechanism comprises a moving seat, a rotating sleeve is rotatably connected to the lower part of the moving seat, a bottom shell is fixedly connected to the lower end of the rotating sleeve, a screw rod is rotatably connected to the lower end of the bottom shell, and a screw rod is fixedly connected to the lower end of the screw rod. A sliding rod is arranged on the threaded rod in a threaded fit mode, pay-off devices are fixedly connected to the two ends of the sliding rod correspondingly, each pay-off device comprises a shell, a fourth motor is arranged in each shell, a motor shaft of each fourth motor is fixedly connected to the corresponding shell, and a pay-off wheel is fixedly connected to the side wall of each fourth motor; a sling is wound on the take-up wheel, a bandage is arranged at the lower end of the sling, a through hole is formed in the lower portion of the shell, a guide ring is arranged in the through hole, and at least three pressure sensors are arranged on the edge of the guide ring at equal angles. According to the invention, the labor intensity of doctors during operation is reduced.

The application discloses a wheel-leg type air-ground integrated reconnaissance robot based on super-spiral sliding mode. The multi-draught type flight frame adopts a four-rotor structure, and the wheel-leg type chassis is fixed below the multi-draught type flight frame and adopts a wheel-leg type structure connected through connecting rods. The multi-draught type flight frame is used for realizing the flight function of the robot, transmitting high-definition image information in real time, and assisting the robot in obstacle crossing; the wheel-leg type chassis realizes the change of the height of the robot through the control of the steering engine on the connecting rods, so as to provide multi-level visual angles for ground reconnaissance; the wheel-leg type air-ground integrated reconnaissance robot can freely switch between the flight mode and the ground mode, the ground mode is the main action mode of the robot, and the flight mode is used for assisting in obstacle crossing and flight entering, so that the endurance of the robot is greatly improved; the self-balancing control of the wheel-leg type chassis adopts a method based on super-spiral sliding mode control, has strong robustness, can be used for various reconnaissance tasks, and makes up for the shortage of the existing robot system.