Abstract:
A robot and a control method thereof may adjust a yaw moment generated from a foot contacting a ground to achieve stable walking of the robot. The robot, which may have an upper body and a lower body, may include a main controller starting walking of the robot through only motions of joints of the lower body and adjusting a motion of the upper body such that a yaw moment generated from a foot the lower body during walking of the robot is less than the maximum static frictional force of a ground to perform stable walking of the robot, and sub controllers driving actuators of the joints according to a control signal of the main controller.
Abstract:
A walking robot and a control method thereof. The control method includes storing angle change data according to time corresponding to at least one joint unit of the robot using human walking data, extracting reference knot points from the angle change data according to time, and generating a reference walking trajectory using the extracted reference knot points, calculating a walking change factor to perform change between walking patterns of the robot, generating a target walking trajectory through an arithmetic operation between the reference walking trajectory and the calculated walking change factor, calculating a control torque to track the generated target walking trajectory, and transmitting the calculated control torque to the at least one joint unit so as to control walking of the robot, thereby achieving various walking patterns through a comparatively simple arithmetic operation process.
Abstract:
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.
Abstract:
A walking robot and a control method thereof. The control method includes performing transition of a second leg to a toe-off state, when ground reaction force applied to a first leg exceeds a first set value under the condition that the first leg is in a swing state and the second leg is in a support state, performing transition of the second leg to the swing state and transition of the first leg to the support state, when ground reaction force applied to the second leg is below a second set value under the condition that the second leg is in the toe-off state, and achieving walking of the walking robot by repeating the transitions among the swing state, the support state and the toe-off state. Thereby, the control method allows the robot to more stably and naturally walk.
Abstract:
A moving robot apparatus and a control system and method thereof. A current state variable (e.g., the current direction of the main body of the robot apparatus) may be estimated using current data output from a sensor part of the robot apparatus. Initially, it is determined whether the current data output from the sensor part satisfy a necessary condition. The necessary condition may be considered to be satisfied when the current data are unaffected by a disturbance or external interference (e.g., the earth's magnetic field.). Thereafter, a current sample value may be extracted from a previous sample value obtained from the sensor part. The previous sample value may relate to a previous state variable (e.g., a previous direction of the robot main body). A weight of the current data may be calculated based on the current sample value. A value of the weight may depend on whether the necessary condition is satisfied by the current data. The current state variable is then estimated based on the extracted current sample value and the calculated weight. A control of the directional movement of the robot main body may be provided based on the estimated current state variable. A control system may be provided to accurately estimate, using a probability distribution, the direction of the robot main body when it can not be determined whether or not an external disturbance is reflected in the data output from the sensor part.
Abstract:
A method for constructing an artificial mark for autonomous driving of an intelligent system, an apparatus and method for determining the location of an intelligent system using the artificial mark, and an intelligent system employing the same. The apparatus and method for determining the location of an intelligent system includes a projective invariant calculator which calculates a projective invariant of an artificial mark detected from an image taken for a driving place; a search unit which stores a database of indices according to a combination of colors of polygons included in the artificial mark, projective invariants of the artificial marks, and global location information of the artificial marks in the driving place, and searches the database by the calculated projective invariant for obtaining the global location information of the detected artificial mark; and a position information analyzer which analyzes the position of the intelligent system by using the global location information of the detected artificial mark and location information between the intelligent system and the detected artificial mark.
Abstract:
A humanoid robot that achieves stable walking based on servo control of a joint torque and a walking control method thereof. The humanoid robot calculates a joint position trajectory compensation value and a joint torque compensation value using a measurement value of a sensor, compensates for a joint position trajectory and a joint torque using the calculated compensation value, and drives a motor mounted to each joint according to the compensated joint torque.
Abstract:
Disclosed are a walking robot and a method of controlling the same, in which impedance control and torso tilt control are achieved complementarily such that impedance can be adjusted according to the tilt of a torso or the tilt of the torso can be adjusted according to the impedance. The method includes measuring a moment of a foot; measuring a tilt of a torso; adjusting the scale of the measured moment based on the tilt of the torso, and controlling the foot based on the scale-adjusted moment; and adjusting the scale of the measured tilt based on a ZMP variation amount of the foot, and controlling the tilt of the torso based on the scale-adjusted ZMP variation amount.
Abstract:
A method of controlling walking a biped robot to generate a walking pattern maximally similar to that of a human includes generating a walking pattern, calculating a walking pattern similarity corresponding to the walking pattern, and comparing the walking pattern similarity with a predetermined reference pattern similarity, and changing the walking pattern based on a result of the comparison. When the robot walks, a knee is maximally stretched and a horizontal movement of a waist is minimized such that the walking pattern of the robot is maximally similar to that of a human, thus enhancing an affinity for a human being and increasing energy efficiency.
Abstract:
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.