Abstract: A legged robot motion control method, apparatus, and device, and a storage medium. The method includes: acquiring center of mass state data corresponding to a spatial path starting point and spatial path ending point of a motion path; determining a candidate foothold of each foot in the motion path based on the spatial path starting point and the spatial path ending point; determining a variation relationship between a center of mass position variation coefficient and a foot contact force based on the center of mass state data; screening out, under restrictions of a constraint set, a target center of mass position variation coefficient and target foothold that satisfy the variation relationship; determining a target motion control parameter according to the target center of mass position variation coefficient and the target foothold; and controlling a legged robot based on the target motion control parameter to move according to the motion path.

Abstract: Embodiments of this application provide a sensor calibration method, apparatus, and device, a data measurement method, apparatus, and device, and a storage medium, where the sensor calibration method includes: acquiring a gravity of a sensor itself and a static force measured in a case that the sensor is in a static state and has no external acting force; performing equivalent calibration processing on the gravity and the static force to obtain a calibrated static force; acquiring a dynamic force measured in a case that the sensor is in a motion state and has no external acting force; performing zero drift processing on the dynamic force according to the calibrated static force to obtain a calibrated dynamic force; and using the calibrated dynamic force as a calibration parameter for performing calibration in a case that the sensor measures an external acting force, to obtain a calibrated sensor with the calibration parameter.

Abstract: This disclosure provides a flexible capacitor array and a preparation method therefor, a capacitor array detection system, and a robot. The flexible capacitor array includes: a first flexible electrode layer including a first electrode array; a second flexible electrode layer including a second electrode array arranged opposite to the first electrode array; and a spacer layer and a dielectric layer, the spacer layer and the dielectric layer being arranged between each electrode pair arranged opposite in the first electrode array and the second electrode array. A unit capacitor in the flexible capacitor array includes the electrode pair, the spacer layer, and the dielectric layer.

Abstract: This application discloses a flexible sensing system and an associated proximity sensing method. The flexible sensing system includes: a first thin film encapsulation layer and a first electrode layer attached to the first thin film encapsulation layer; the first electrode layer includes a bipolar electrode configured for forming an arc-shaped electric field for determining whether a distance between a target object and the sensing system is within the first distance range; the first electrode layer further includes a unipolar electrode configured for forming a vertical electric field for determining whether a distance between the target object and the sensing system is within the second distance range; and the first distance range is less than the second distance range. By using different sensing solutions for the object at different distance positions, the sensing system avoids the issue that a single sensing solution has a relatively low sensing accuracy.

Abstract: An artificial intelligence-based action recognition method includes: determining, according to video data comprising an interactive object, node sequence information corresponding to video frames in the video data, the node sequence information of each video frame including position information of nodes in a node sequence, the nodes in the node sequence being nodes of the interactive object that are moved to implement a corresponding interactive action; determining action categories corresponding to the video frames in the video data, including: determining, according to the node sequence information corresponding to N consecutive video frames in the video data, action categories respectively corresponding to the N consecutive video frames; and determining, according to the action categories corresponding to the video frames in the video data, a target interactive action made by the interactive object in the video data.

Abstract: This application discloses a motion platform, a haptic feedback device, and a human-computer interactive system. The motion platform includes a first platform, a second platform and a linkage assembly, the first platform and the second platform being connected by the linkage assembly, the second platform being configured to move relative to the first platform. The first platform comprises a first power take-off and a second power take-off, the first power take-off comprising a first output shaft and the second power take-off comprising a second output shaft. The linkage assembly comprises a first parallelogram linkage mechanism and a second parallelogram linkage mechanism connected to each other, and a two-bar linkage mechanism. The two-bar linkage mechanism and the first parallelogram linkage mechanism have the same plane of motion, and the second output shaft being configured to drive motion of the two-bar linkage mechanism.

Abstract: The discussion relates to inventory control. In one example, a set of ID sensors can be employed in an inventory control environment and subsets of the ID sensors can collectively sense tagged items in shared space. Data from the subset of ID sensors can indicate when a user has taken possession of an individual tagged item in the shared space.

Abstract: A mechanical leg comprises a frame, a retractable member, a wheel, an extension and retraction driving member, a travel driving member, an auxiliary leg, and an auxiliary wheel. The extension and retraction driving member is located on a side of the frame. The retractable member is connected to the extension and retraction driving member. The wheel is connected to the retractable member. The wheel is further connected to the travel driving member. A first end of the auxiliary leg is connected to the auxiliary wheel, and a second end of the auxiliary leg is located on the frame. The retractable member extends under the driving of the extension and retraction driving member to drive the wheel to jump. The wheel is driven by the travel driving member to move. When the auxiliary wheel contacts the ground, the mechanical leg moves with the rolling of the wheel and the auxiliary wheel.

Abstract: A mechanical leg comprises a frame, a retractable member, a wheel, an extension and retraction driving member, a travel driving member, an auxiliary leg, and an auxiliary wheel. The extension and retraction driving member is located on a side of the frame. The retractable member is connected to the extension and retraction driving member. The wheel is connected to the retractable member. The wheel is further connected to the travel driving member. A first end of the auxiliary leg is connected to the auxiliary wheel, and a second end of the auxiliary leg is located on the frame. The retractable member extends under the driving of the extension and retraction driving member to drive the wheel to jump. The wheel is driven by the travel driving member to move. When the auxiliary wheel contacts the ground, the mechanical leg moves with the rolling of the wheel and the auxiliary wheel.

Abstract: A flexible capacitive tactile sensor is provided. The flexible capacitive tactile sensor may include a first flexible electrode layer, a second flexible electrode layer, and an ion gel thin film dielectric layer disposed between the first flexible electrode layer and the second flexible electrode layer. A first electrode array is disposed on the first flexible electrode layer. The first electrode array may include m series-connected electrodes parallel to a second direction. A second electrode array is disposed on the second flexible electrode layer. The second electrode array may include n series-connected electrodes parallel to a first direction. The first electrode array and the second electrode array may be disposed opposite to each other, and the first direction may be different from the second direction. The first electrode array, the second electrode array, and the ion gel thin film dielectric layer may form m×n electric double layer capacitors.

Abstract: A method for determining a plurality of layers of bounding boxes of an object includes determining a polyhedron capable of accommodating the object therein as a first-layer bounding box. The method also includes selecting one vertex from a plurality of vertices of the first-layer bounding box as a target vertex, and determining, by processing circuitry of a computing device, a support plane of the object. The support plane has a normal vector that has a specific direction corresponding to the target vertex and that is closest to the target vertex, the support plane being a plane passing through a point on a surface of the object such that the object is completely located on one side of the support plane. The method further includes cutting the first-layer bounding box based on at least the support plane to form a smaller bounding box, as a second-layer bounding box.

Abstract: A slip sensation simulation apparatus includes a base, a first haptic assembly, and a second haptic assembly. The first haptic assembly includes a first synchronous belt, a plurality of first synchronous wheels, and a first motor. The first motor is in a transmission connection with one of the first synchronous wheels, to drive the first synchronous wheels and the first synchronous belt to rotate. The second haptic assembly includes a second synchronous belt, a plurality of second synchronous wheels, and a second motor. The second motor is in a transmission connection with one of the second synchronous wheels, to drive the second synchronous wheels and the second synchronous belt to rotate. The first synchronous belt is located at an inner side of the second synchronous belt. Rotational axial directions of the first and second synchronous belts are different. The first synchronous belt is in contact with the second synchronous belt.

Abstract: This application relates to the field of robot control, and provides a motion state control method and apparatus, a device, and a readable storage medium. The method includes the following steps: Step 301: Acquire basic data and motion state data, the basic data being used for representing a structural feature of a wheeled robot, and the motion state data being used for representing a motion feature of the wheeled robot. Step 302: Determine a state matrix of the wheeled robot based on the basic data and the motion state data, the state matrix being related to an interference parameter of the wheeled robot, the interference parameter corresponding to a balance error of the wheeled robot. Step 303: Determine, based on the state matrix, a torque for controlling the wheeled robot. Step 304: Control, by using the torque, the wheeled robot to be in a standstill state.

Abstract: A method for controlling motion of a legged robot includes determining one or more candidate landing points for each foot of the robot. The method further includes determining a first correlation between a center of mass position change parameter, candidate landing points, and foot contact force. The method further includes determining, under a constraint condition set and based on the first correlation, a target center of mass position change parameter, a target step order, and a target landing point for each foot selected among the one or more candidate landing points for the respective foot, the constraint condition set constraining a step order. The method further includes controlling, according to the target center of mass position change parameter, the target step order, and the target landing point for each foot, motion of the legged robot in the preset period.

Abstract: A legged robot motion control method includes: acquiring centroid state data of a spatial path start point and a spatial path end point of a motion path; determining a target landing point of afoot of the legged robot in the motion path based on the spatial path start point and the spatial path end point; determining a change relationship between a centroid position change coefficient and a foot contact force based on the centroid state data; selecting, under constraint of a constraint condition set, a target centroid position change coefficient that meets the change relationship; the constraint condition set including a spatial landing point constraint condition; determining a target motion control parameter according to the target centroid position change coefficient and the target landing point of the foot; and controlling, based on the target motion control parameter, the legged robot to perform motion according to the motion path.

Abstract: A mechanical leg comprises a frame, a retractable member, a wheel, an extension and retraction driving member, a travel driving member, an auxiliary leg, and an auxiliary wheel. The extension and retraction driving member is located on a side of the frame. The retractable member is connected to the extension and retraction driving member. The wheel is connected to the retractable member. The wheel is further connected to the travel driving member. A first end of the auxiliary leg is connected to the auxiliary wheel, and a second end of the auxiliary leg is located on the frame. The retractable member extends under the driving of the extension and retraction driving member to drive the wheel to jump. The wheel is driven by the travel driving member to move. When the auxiliary wheel contacts the ground, the mechanical leg moves with the rolling of the wheel and the auxiliary wheel.

Abstract: A method for controlling motion of a legged robot includes: determining, according to state data of the legged robot at a start moment in a preset period, a candidate landing point of each foot in the preset period; determining, according to the state data at the start moment and the candidate landing point of each foot, a first correlation between a centroid position change parameter, a step duty ratio, a candidate landing point, and a foot contact force; determining, under a constraint of a constraint condition set, a target centroid position change parameter, a target step duty ratio, and a target landing point satisfying the first correlation; and controlling, according to the target centroid position change parameter, the target step duty ratio, and the target landing point, motion of the legged robot in the preset period.

Abstract: A hand exoskeleton includes at least one mechanical finger and a mechanical palm; and the mechanical finger includes a finger section, a rod assembly and a motor, the finger section includes a first finger section and a second finger section, and the rod assembly includes a first rod assembly and a second rod assembly. The motor capable of controlling the hand exoskeleton is arranged in the hand exoskeleton, and motion constraint on the finger section is realized by constraining a rod through the motor in the movement process of the hand exoskeleton, so that motion limitation on the hand exoskeleton is realized.

Abstract: This application provides a capacitance detection circuit for detecting capacitance of a capacitor element within a capacitor array. The circuit includes a capacitance detection module for detecting a first capacitance of a first capacitor set, a second capacitance of a second capacitor set, and a third capacitance of the third capacitor set, the first capacitor set comprising the capacitor element and a row capacitor element in the same row of the capacitor array as the capacitor element, the second capacitor set comprising the capacitor element and a column capacitor element in the same column of the capacitor array as the capacitor element, the third capacitor set comprising the row capacitor element and the column capacitor element; and a processing module, configured to obtain the capacitance of the capacitor element according to the first capacitance, the second capacitance and the third capacitance.

Abstract: A legged robot motion control method, apparatus, and device, and a storage medium. The method includes: acquiring center of mass state data corresponding to a spatial path starting point and spatial path ending point of a motion path; determining a candidate foothold of each foot in the motion path based on the spatial path starting point and the spatial path ending point; determining a variation relationship between a center of mass position variation coefficient and a foot contact force based on the center of mass state data; screening out, under restrictions of a constraint set, a target center of mass position variation coefficient and target foothold that satisfy the variation relationship; determining a target motion control parameter according to the target center of mass position variation coefficient and the target foothold; and controlling a legged robot based on the target motion control parameter to move according to the motion path.