Abstract: A method for obtaining a feature extraction model, a method for human fall detection and a terminal device are provided. The method for human fall detection includes: inputting a human body image into a feature extraction model for feature extraction to obtain a target image feature; in response to a distance between the target image feature and a pre-stored mean value of standing category image features being greater than or equal to a preset distance threshold, determining that the human body image is a human falling image; and in response to the distance being less than the preset distance threshold, determining that the human body image is a human standing image. The feature extraction model is obtained based on constraint training to aggregate standing category image features and separate falling category image features from the standing category image features.

Abstract: The present disclosure is related to a dual ring gas burner wherein the outer ring includes multipoint injection with bottom breathing and the inner ring works with top breathing. Two flame rings are included along with burner ports on the caps. As a result, better heating distribution is achieved along with greater ease in cleaning and combined simmer functions with high ratings by having the outer ring gas flow not interfering with the inner ring.

Abstract: A method for controlling a robotic system includes determining a location and/or a pose of a power system component based on data received from one or more sensors, and determining a mapping of a location of a robotic system within a model of an external environment of the robotic system based on the data. The model of the external environment provides locations of objects external to the robotic system. A sequence of movements of components of the robotic system is determined to perform maintenance on the power system component based on the locations of the objects external to the robotic system and/or the location or pose of the power system component. One or more control signals are communicated to remotely control movement of the components of the robotic system based on the sequence or movements of the components to perform maintenance on the power system component.

Abstract: ETA (estimated time of arrival) calculation for a mobile machine is disclosed. The ETA of the mobile machine to a destination is calculated by obtaining a current pose of the mobile machine, obtaining a global path from the current pose of the mobile machine to the destination, obtaining a local path, calculating a dynamic ETA for each pair of the consecutive poses in the local path and summing the calculated dynamic ETAs, calculating a baseline ETA for each pair of consecutive poses from a pose in the global path that is closest to the last pose in the local path to the last pose in the global path and summing the calculated baseline ETAs, and obtaining a total ETA to the destination based on the dynamic ETA and the baseline ETA.

Abstract: A touch sensing method and a serial manipulator using the same are disclosed. A serial manipulator using the method may detect and localize external torques by obtaining a torque value of each joint of a serial manipulator through a torque sensor at the joint; obtaining a preset joint angle of each joint from the serial manipulator; calculating a Jacobian matrices of the serial manipulator based on the joint angle of the joints; estimating joint torques of the serial manipulator based on the torque value of each joint and the Jacobian matrices; calculating an error between the torque value of each joint and the estimated joint torque corresponding to the joint; and determining a link of the serial manipulator that is connected to the joint with the minimum calculated error as having been touched.

Abstract: A system includes a robotic vehicle having a propulsion and a manipulator configured to perform designated tasks. The system also including a local controller disposed onboard the robotic vehicle and configured to receive input signals from an off-board controller. Responsive to receiving an input signal for moving in an autonomous mode, the local controller is configured to move the robotic vehicle toward one of the different final destinations by autonomously and iteratively determining a series of waypoints until the robotic vehicle has reached the one final destination. For each iteration, the local controller is configured to determine a next waypoint between a current location of the robotic vehicle and the final destination, determine movement limitations of the robotic vehicle, and generate control signals in accordance with the movement limitations.

Abstract: A method for controlling a robotic walking assistant that includes a wheeled base having one or more wheels, two handles and a foldable seat that are coupled to the wheeled base, includes: detecting whether two hands of a user have held the two handles of the robotic walking assistant; receiving a command from the user to select an operation mode in response to detection of the two hands holding the two handles; controlling the wheeled base to move in response to a walking assistive mode being selected; providing resistance to at least one of the one or more wheels according to selection of the user, in response to a walking training mode being selected; and locking the one or more wheels in response to a static training mode being selected.

Abstract: A system includes a first robotic machine having a first set of capabilities for interacting with a target object on stationary equipment; a second robotic machine having a second set of capabilities for interacting with the target object; and a task manager that can determine capability requirements to perform a task on the target object. The task has an associated series of sub-tasks. The task manager can assign a first sequence of sub-tasks for performance by the first robotic machine based on the first set of capabilities and a second sequence of sub-tasks for performance by the second robotic machine based on the second set of capabilities. The first and second robotic machines can coordinate performance of the first sequence of sub-tasks by the first robotic machine with performance of the second sequence of sub-tasks by the second robotic machine to accomplish the task.

Abstract: Image-based trajectory planning for a mobile machine having a camera is disclosed. A trajectory for the mobile machine to move to a referenced target is planned by obtaining, a desired image of the referenced target captured at a desired pose of the trajectory and an initial image of the referenced target captured at an initial pose of the trajectory through the camera of the mobile machine, calculating a homography of the desired image and the initial image; decomposing the homography into an initial translation component and an initial rotation matrix, obtaining optimized translation component(s) corresponding to constraint(s) for the mobile machine based on the initial translation component, obtaining optimized homography(s) based on the optimized translation component(s) and the initial rotation matrix, and obtaining objective image features corresponding to the trajectory based on the optimized homography(s).

Abstract: A robotic system includes a controller configured to obtain image data from one or more optical sensors and to determine one or more of a location and/or pose of a vehicle component based on the image data. The controller also is configured to determine a model of an external environment of the robotic system based on the image data and to determine tasks to be performed by components of the robotic system to perform maintenance on the vehicle component. The controller also is configured to assign the tasks to the components of the robotic system and to communicate control signals to the components of the robotic system to autonomously control the robotic system to perform the maintenance on the vehicle component.

Abstract: A human-object scene recognition method includes: acquiring an input RGB image and a depth image corresponding to the RGB image; detecting objects and humans in the RGB image using a segmentation classification algorithm based on a sample database; in response to detection of objects and/or humans, performing a segment detection to each of the detected objects and/or humans based on the ROB image and the depth image, and acquiring a result of the segment detection; calculating 3D hounding boxes for each of the detected objects and/or humans according to the result of the segment detection, and determining a position of each of the detected objects and/or humans according to the 3D bounding boxes.

Abstract: Human posture determination is disclosed. Human posture is determined by obtaining range image(s) through a range camera, detecting key points of an estimated skeleton of a human in color data of the range image(s) and calculating positions of the detected key points based on depth data of the range image(s), choosing a feature map from a set of predefined feature maps based on the detected key points among a set of predefined key points, obtaining two features of a body of the human corresponding to the chosen feature map based on the positions of the detected key points, and determining a posture of the human according to the two features in the chosen feature map.

Abstract: A person re-identification method, a storage medium, and a terminal device are provided. In the method, a preset ratio-based triplet loss function is used as a loss function during training The ratio-based triplet loss function limits a ratio of a positive sample feature distance to a negative sample feature distance to be less than a preset ratio threshold. The positive sample feature distance is a distance between a reference image feature and a positive sample image feature, and the negative sample feature distance is a distance between the reference image feature and a negative sample image feature. Compared with the existing absolute distance-based triplet loss function, in the case of small inter-class differences and large intra-class differences, the ratio-based triplet loss function can effectively improve the stability of model training, the features extracted by the trained model are more discriminative and robust, thereby improving the accuracy of person re-identification results.

Abstract: The disclosure an electric charging port and electric vehicle, and relates to the technical field of charging devices. The electric charging port includes: a charging port box, a rotation shaft and a sealed box. The charging port box includes two bottom surfaces, multiple side surfaces and at least two charging sockets, and the two charging sockets are located on different side surfaces. The rotation shaft is respectively fixedly connected with the two bottom surfaces. The charging port box is located in the sealed box, and the charging port box is rotatably connected with the sealed box through the rotation shaft. A charging opening is arranged on a side of the sealed box, and a sealing ring is arranged at the charging opening. The charging port of the disclosure is small in size, light in weight, low in cost, simple in structure, good in rigidity and compatibility.

Abstract: A robotic walking assistant includes a wheeled base having a base and one or more position adjustable wheels connected to the base, a body disposed in a vertical direction, positioned on the wheeled base and having a handle, and a control system that receives command instructions. Each of the one or more wheels is slidable with respect to the base between a retracted position and an extended position in a direction that is substantially parallel to a surface where the wheeled base moves. In response to the command instructions, the control system moves the one or more wheels between the retracted positions and the extended positions.

Abstract: The present disclosure is related to methods and systems for controlling a snake-arm robot. The method includes receiving real-time image data associated with an operating environment or a location of a workpiece from optical sensor(s) mounted on a robot head of the robot; receiving input data describing a desired pose of the robot head; computing and translating a desired displacement of the robot head; computing a position of each of the links of the snake-arm robot to follow motion of the robot head, a current position of each the links, and data required to move joints connecting the links to move the robot to the desired pose; generating movement instructions; and transmitting the movement instructions to a drive motor associated with an introduction device or controllers associated with servo-motors operably connected to joints connecting the links of the snake-arm causing the robot head to move to the desired pose.

Abstract: Collision avoidance for a mobile machine having a plurality of sensors is disclosed. The mobile machine is avoided from colliding with a collision object by fusing sensor data received from the plurality of sensors to obtain a plurality of data points corresponding to the collision object, calculating a closed-form solution of a distance between the mobile machine and each of the plurality of data points, calculating a maximum allowed velocity of the mobile machine based on the shortest distance between the mobile machine and the plurality of data points and a current velocity of the mobile machine, and controlling the mobile machine to move according to the maximum allowed velocity.

Abstract: A system for polishing a surface of a component includes a motorized apparatus including a body, a drive system coupled to the body, and an arm including a proximal end coupled to the body and a distal end opposite the proximal end. The motorized apparatus further includes a tool coupled to the distal end of the arm. The tool is configured to polish the surface of the component. The motorized apparatus also includes an actuator coupled to the arm. The system also includes a controller configured to position the tool relative to the component by positioning at least one of the body and the arm relative to the component to reach the target area on the component while maintaining a distance between the tool and the body that is less than a threshold distance. The threshold distance is less than a full reach of the arm and is determined to prevent vibrations of the tool and the arm from exceeding a predefined level.

Abstract: A design method of serial manipulator that comprises an end effector, a number of random-access links, and a number of motors, includes: obtaining a desired motion profile of the end effector; discretizing the desired motion profile into a plurality of points, wherein each of the points carries information of speed, acceleration, and force/torque of the end effector at the point; determining the number of degrees of freedom of the serial manipulator, and initializing the length of each of the links and the motor type of each of the motors; and at each of the points, optimizing the initialized lengths of the links and the motor types of the motors by calculating a dynamic manipulability ellipsoid at the end effector, to obtain desired lengths of the links and desired motor types of the motors, which allows the end effector to execute the desired motion profile under predetermined constraints.

Abstract: A navigation method for a disinfection robot includes: obtaining an initial map within a field of view of the robot; generating a disinfection grid having multiple disinfection squares on the initial map, and determining multiple disinfecting consideration points in the disinfection squares; determining a disinfection order of disinfecting targets corresponding to the disinfection squares according to distances between the robot after the robot completes disinfection of one of the targets corresponding to one of the disinfection squares and to-be-disinfected ones of the disinfection squares; according to distances between the position and the disinfecting consideration points in to-be-disinfected ones of the disinfection squares, combined with priority levels of the disinfecting consideration points in to-be-disinfected ones of the disinfection squares, determining disinfecting planning points in the disinfection squares; and performing disinfection to the targets corresponding to the disinfection squares acc