73 results about "Zero moment point" patented technology

A robotic first responder system provides injured patients with first response medical care and extracts the injured patient from a dangerous or remote area. After assessing of the level of consciousness of an injured patient, the robotic unit utilizes an inflatable immobilization device for safe robotic rescue of injured patients. The robotic unit lifts and transfers an injured patient to an extraction vehicle, a secure, bullet-proof wheeled system that can be pulled by the robot to safe location. The extraction vehicle continues serving as the evacuation stretcher to a medical station. The robotic unit utilizes zero moment point control to maintain stability while lifting the patient. A robot first responder tows the extraction vehicle or the extraction vehicle self-navigates incorporating with power drive and autonomous navigation systems.

A system, method, and computer program product for generating dynamically feasible whole-body motion of a humanoid robot while realizing specified upper-body task motion are described. A kinematically feasible upper-body motion is generated based on the specified upper-body motion. A series of zero-moment points (ZMP) are computed for the generated motion and used to determine whether such motion is dynamically feasible. If the motion is not dynamically feasible, then the torso acceleration is modified to make the motion dynamically feasible, and otherwise synchronized as needed. A series of modified ZMP is determined based on the modified torso acceleration and used to distribute the resultant net ground reaction force and moment to the two feet.

The invention discloses a method for controlling steady walking of a humanoid robot based on an effective stable region, and belongs to the automation control field. The method comprises the following steps: measuring a ground reaction force of the robot by a force sensor; obtaining a resultant force point of the ground reaction force of the robot according to the ground reaction force; judging whether a planned zero moment point (ZMP) and the resultant force point of the ground reaction force are within the effective stable region; and controlling the robot to walk according to a judgment result. The device comprises the force sensor, a processing module, a judgment module and a control module. The system comprises a forward feeder, a real-time corrector and a servo driver. The system causes the planned ZMP and the resultant force point of the ground reaction force to be in the effective stable region by the real-time correction of an angle of ankle joints of the robot, thus achieving the aim of the steady walking of the robot.

The invention provides a method for performing zero moment point (ZMP) calibration autonomously by a robot. The robot has at least two legs and feet, wherein the at least two legs can drive the robot to walk; the feet are connected with the legs through ankle joints respectively; and the feet are provided with force sensors. The method comprises the following steps of: calculating the projection of a barycenter of the robot on the ground according to each part and the position thereof of the robot, wherein the robot is supported by a single foot to maintain a certain stable fixed posture and the part above the ankle joint of the supporting foot of the robot is seen as a mass point; adjusting the ankle joint of the supporting foot of the robot so as to make the projection of the barycenter spread over the surface of the supporting foot; and obtaining a table by sampling, wherein in the table, a true ZMP corresponds to the ZMP measured by the force sensors. The robot can perform the ZMP calibration according to the projection of the barycenter of the robot and the movement of the ankle joints, so the method has the advantages of no need of human intervention, high efficiency, a large number of sampling points, high precision and low requirement on a mounting environment.

The invention discloses a walking posture control method of a humanoid biped robot based on a genetic algorithm. A mathematical model of a biped robot is established based on the ZMP control theory and a pose matrix, and the basic gait of a human is simulated. V, height H, arm swing R, body center up and down swing C, body center left and right swing A These six parameters plan the robot's gait, and select optimized T, V, H, R through genetic algorithm The six parameters of , C, and A are brought into the inverse operation of the pose matrix to obtain the values ​​of other joint coordinates of the robot, and solve the method of generating data that stably controls the gait of the robot. It overcomes the problem of large amount of calculation and low efficiency in inverse operation of pose matrix, improves the real-time response ability of the system, and uses the data generated by this method in the humanoid biped robot system to achieve a good control effect.

The invention discloses a method for detecting a tumbling state of a humanoid robot based on multi-sensor information. The method comprises the step of judging the current stability of the robot by a fuzzy decision-making system by combining the current walking state, posture information and position information of a ZMP (zero moment point) of the robot. Judgment states comprise 9 states: a controllable state, tumbling forwards, tumbling backwards, tumbling leftwards, tumbling rightwards, tumbling left forwards, tumbling left backwards, tumbling right forwards and tumbling right backwards. The method is suitable for judging whether the humanoid robot is in the controllable state when the humanoid robot is about to tumble and obtaining the tumbling direction of the humanoid robot when the robot is uncontrollable, so that a basis is supplied to generation of corresponding protection motion to the humanoid robot. According to the method, the stability of the motion of the robot can be really reflected, and the reliability and the judgment accuracy are higher.

Disclosed herein are a humanoid robot that compensates for a zero moment point (ZMP) error during finite state machine (FSM)-based walking to achieve stable walking and a walking control method thereof. The humanoid robot compensates for a joint position trajectory command or a joint torque command using compensation values calculated based on situations divided according to the position of a calculated ZMP and the position of a measured ZMP in a stable region of the robot.

A system comprises a platform being configured for locomotion in a plurality of directions over a surface. A robotic unit is configured for dexterous manipulation comprising at least lifting of objects. The robotic unit is joined to the platform. At least one extender unit is joined to the platform and is configured for controlled extension beyond the platform to contact the surface to stabilize the system at least during the manipulation by the robotic unit. At least one controlling unit is configured to be operable for at least determining a center of gravity and a zero moment point for the system and for at least controlling an extension of the extender unit.

The invention provides biped walking parameter measurement and belongs to the technical field of robots. A biped walking parameter measuring apparatus is provided and comprises a zero moment point measuring system, a foot contour measuring system and a walking parameter calculating system. A biped walking parameter measuring method provided can accurately and effectively measure biped walking parameters including stand state parameter before walking, step, step period, zero moment point track, and the contours of feet contacting the ground. The method for measuring biped walking parameters of a human being is of great importance to analysis of walking gaits of the human being, thereby providing important basis for planning track of a biped robot. The method is used for measuring the walking parameters of a biped robot, and feedback parameters of biped robot walking gaits, walking track on-line adjusting, and enclosed control of a host computer and each joint of leg portions are provided. The method is of great significance to stable walking of a biped robot.

The invention discloses a method and a device for controlling to support a foot of a humanoid robot in a single leg supporting period and belongs to the field of robots. An expected virtual zero moment point is arranged outside the foot supporting region, and a step increasing quantity generated through the rotation of the robot can be acquired. The method comprises steps of calculating the virtual zero moment point and detecting the rotation angle of the supporting foot; determining the rotation angle of the supporting foot; determining the position of the virtual zero moment point; and limiting the position of the virtual zero moment point. The device comprises a calculating and detecting module, a rotary angle control module, a virtual zero moment point position control module and a virtual zero moment point position limiting module. By the aid of the method and the device, the humanoid robot can support the foot to rotate in the single leg supporting period, the walking step is increased, and the control is simple and reliable.

The invention discloses a linear inverted pendulum model-based robot gait planning method. The linear inverted pendulum model-based robot gait planning method comprises the following steps of building a linear inverted pendulum model, in which a proportion factor Gamma is introduced on the basis of a dual-connection rod inverted pendulum model (DLIPM) to build a new linear inverted pendulum model; and performing robot gait planning, in which zero-torque point track, trunk mass center motion track and free foot planning track are generated on the basis of the linear inverted pendulum model, and each joint gait motion curve is solved by inverse kinematics. The linear inverted pendulum model built by the method more conforms to actual mass distribution condition of a humanoid robot, the zero-torque point track, the trunk mass center motion track and the feet foot planning track which are generated on the basis of the model and the each solved joint gait motion curve linear are more reasonable and more conform to the gait process of a natural person dual-foot robot, and the gait planning accuracy is high.

The invention discloses a foot force and moment following control method of a bipedal robot. According to the method, a double-spring damping model is designed, a force following controller is designed by using an LQR optimization method, and the following of the foot force and moment of the bipedal robot is realized; and the foot expected force and the foot expected moment are calculated by a planned ZMP (Zero Moment Point) distribution method, and finally, the ZMP following of the bipedal robot is better, and can adapt to a certain uneven ground. According to the foot force and moment following control method of the bipedal robot provided by the invention, the traditional ZMP following is abandoned, so that a control mode adaptive to the stable walking and the uneven ground of the bipedal robot can be realized, the foot expected force and the force moment that enable the robot to stably work are directly calculated, and the following of the foot force and the force moment is realized by directly controlling the foot expected force and the force moment, so that stable control is carried out in a more intrinsic and easier implementation manner, the control response is faster, the capability of adapting to the uneven ground is stronger, and the ZMP following effect is very ideal.

A walking robot and a control method in which conversion between walking servo control methods is stably carried out. The walking robot includes a sensor unit to measure angles and torques of joints, and a control unit to calculate voltages applied in a Finite State Machine (FSM) control mode and a Zero Moment Point (ZMP) control mode according to the angles and torques of the joints to drive respective joint motors, to store last target joint angles in the FSM control mode during conversion from the FSM control mode to the ZMP control mode, and to perform a motion based on the FSM control mode by substituting the last target joint angles in the FSM control mode for target joint angles in the FSM control mode during conversion from the ZMP control mode to the FSM control mode, thereby performing stable conversion between walking servo control modes without joint sagging.

A method and a device for controlling a gait of a biped robot. The method includes: selecting gait controlling parameters, and acquiring a movement trajectory of a center of mass when a zero moment point of the biped robot is located within a steady area; obtaining first numerical values of each of the gait controlling parameters of the center of mass and second numerical values of the center of mass; setting a first constraint condition when the step starting phase ends by using the first numerical values, and setting a second constraint condition when the step ending phase starts by using the second numerical values; calculating the movement trajectories of the center of mass in the step starting phase and the step ending phase on the basis of the first constraint condition and the second constraint condition, respectively; and controlling a walking of the biped robot.

The invention discloses a wheel-foot switching robot system and a control method thereof, a robot comprises a robot trunk, a mechanical leg mechanism mounted at the bottom of the robot trunk and a wheel type mechanism mounted at the upper part of the robot, and the wheel type mechanism and the mechanical leg mechanism are independent of each other; the mechanical leg mechanisms achieve switching of the motion postures of the robot through contraction or extension. The control method of the robot system comprises the following steps of switching real-time postures of a robot before switching; planning a gravity center motion track of the robot trunk part; judging whether each zero moment point in the planned gravity center motion trail of the robot trunk part meets a balance condition within a stability threshold of the robot or not; and if the balance condition is met, contracting or stretching the mechanical leg mechanisms according to the rotating angles of all joints of the robot toachieve stable switching, the problem that the robot loses balance due to the fact that the gravity center of the robot changes during trade wheel-foot switching is avoided, and stable wheel-foot switching can be conducted on complex terrains.

The invention provides a multi-objective particle swarm algorithm-based humanoid robot gait planning method. The method comprises the following steps of S1, by applying a cubic spline interpolation function, generating motion tracks of hip joints and ankle joints; S2, according to the generated motion tracks of the hip joints and the ankle joints, calculating out motion situations of joints of both legs, and further calculating out a track of a zero moment point and moments of the hip joints of the both legs; S3, according to an optimized objective function and a task constraint condition, determining fitness functions of the joints of the both legs; S4, according to the fitness functions, obtaining a Pareto optimal solution set corresponding to the optimized objective function by utilizing a multi-objective particle swarm optimization algorithm; and S5, selecting a solution as an optimal solution from the Pareto optimal solution set, and substituting the optimal solution into plannedgaits, thereby guiding a humanoid robot to walk.

The application belongs to the technical field of robots, and particularly relates to a robot balance control method and device, a computer readable storage medium and a robot. The method comprises the steps as follows: acquiring left and right foot stress information of the robot; calculating a zero moment point of a body centroid of the robot according to the left and right foot stress information; calculating a first position offset and a second position offset of the robot according to the zero moment point of the body centroid respectively; updating the position track of the robot according to the first position offset and the second position offset to obtain an updated body centroid position; performing inverse kinematics analysis on the updated body centroid position to obtain eachjoint angle of the left leg and the right leg of the robot; and controlling the robot to move according to each joint angle. Stability of the robot in the bending process is improved, and toppling isavoided.

Disclosed herein a method of controlling the balance of a walking robot. In the method, a location and an acceleration of a center of gravity of the walking robot are detected in a three-dimensional (3D) x, y, z coordinate system. A location of a Zero Moment Point (ZMP) on an xy plane is detected using the location of the center of gravity and the acceleration of the center of gravity in x- and y-axis directions. Walking of the walking robot is controlled so that the ZMP is located inside a stable area including a bottom of a foot of the walking robot on the xy plane.

The invention provides a humanoid robot gait generation method. The method comprises the following steps: S1, establishing an initial walking pattern generator by analyzing the driving characteristic of human walking, and generating a joint driving torque up used for realizing basic walking movement; S2, establishing a mathematical model of a stretch reflex and a mathematical model of a vestibular reflex through the partial characteristic of a sensory reflex, overlaying a joint driving torque ustretch generated by the stretch reflex and a joint driving torque uvest generated by the vestibular reflex to the joint driving torque up, and adjusting the joint trajectory of a robot in the movement space by adjusting the joint driving torques ustretch and uvest, so as to ensure that a supporting leg of the robot does not leave the ground and a swinging leg of the robot can reach a right position in the walking process; S3, establishing a ZMP (Zero Moment Point) reflex model, overlaying a joint driving torque uzmp generated by a ZMP reflex to the joint driving torques ustretch, uvest and up, further adjusting the joint trajectory by adjusting the joint driving torque uzmp. Thus, the robot can realize stable walking movement, and the adaptive capacity to environment of movement of the robot is improved.

The invention discloses a humanoid robot walking self-learning control method. The method is characterized in that performance evaluation indexes can be made from the energy efficiency, the horizontalstability degree and the vertical stability degree respectively through the self-learning control method; the non-linear relationship between all joint angles and zero moment point errors is obtainedby learning walking samples of a robot; the correction quality of all the joint angles is obtained according to the actual zero moment point error, and stable walking is achieved. In order to improvethe learning effect, a sample excellent-inferior coefficient is distributed to each learning sample according to the energy efficiency margin J<ee>, the horizontal stability margin J<zmp> and the vertical stability margin J<yaw> of walking samples, and the control performance is improved according to the principle that the larger the excellent-inferior coefficient is, and the higher the given attention degree is in the learning process. Through the method, the influence of the robot walking sample quality on the control performance is fully considered. The method has the advantages that the application range is wide, and the energy efficiency is high.

The invention belongs to the technical field of robots, and particularly relates to a robot state estimation method and device, a computer readable storage medium and a robot. The method comprises the steps: acquiring left foot stress information and right foot stress information of the robot; according to the left foot stress information and the right foot stress information, calculating a double-foot zero moment point of the robot under a world coordinate system; and calculating the mass center position of the robot based on a preset linear inverted pendulum model. According to the method, the brand new linear inverted pendulum model is pre-constructed, the biped zero moment point of the robot is taken as the supporting point of the model, the influence of the position change of the biped zero moment point on the position of the center of mass is fully considered, and a more accurate estimation result can be obtained based on the model.