Samsung Electronics Co., Ltd.

Ho Seong Kwak

Woong Kwon

Kyung Shik Roh

Min Hyung Lee

Chang Hyun Roh

Joong Kyung Park

Jae Ho Park

Woo Sup Han

Joo Hyung Kim

Ju Suk Lee

Choong Hwan Choi

Do Kwan Oh

Jeong Heon Han

Joo Hyang Kim

Disclosed herein are an X-ray imaging apparatus which recognizes a marker located at a part to be subjected to X-ray imaging from an image of a subject imaged by a camera and which controls a respective movement of each of an X-ray tube and an X-ray detector to a respective position which corresponds to the recognized marker, and a method for controlling the same. An X-ray imaging apparatus includes an X-ray tube which radiates X-rays toward a subject, an X-ray detector which detects X-rays which propagate through the subject, an imaging unit which generates an image of the subject, a recognizes which recognizes a part to be subjected to X-ray imaging from the image of the subject, and a position controller which controls a movement of the X-ray tube and the X-ray detector to a position corresponding to the part to be subjected to X-ray imaging.

X-ray imaging apparatus and method for controlling the same

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.

Robot and method of controlling walking thereof

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.

Walking robot and control method thereof

A torque-based walking robot and a control method thereof which stably controls walking of the robot. In the control method, in which high rigidity, equal to that achieved through a position-based control method, is achieved using a torque-based control method without switching between the position-based control method and the torque-based control method while the robot is in motion, a difference between a target torque and a measured torque is forcibly generated by limiting a torque range measurable by each torque sensor, thereby increasing voltage applied to each actuator, and thus achieving high rigidity, equal to that achieved through the position-based control method, using the torque-based control method without switching between the position-based control method and the torque-based control method.

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.

Humanoid robot and walking control method thereof

An finite state machine (FSM)-based biped walking robot, to which a limit cycle is applied to balance the robot right and left on a two-dimensional space, and a method of controlling balance of the robot. In order to balance an FSM-based biped walking robot right and left on a two-dimensional space, control angles to balance the robot according to states of the FSM-based biped walking robot are set, and the control angles are controlled using a sinusoidal function to allow relations between the control angles and control angular velocities to form a stable closed loop within a limit cycle, thereby allowing the biped walking robot to balance itself while changing its supporting foot and thus to safely walk without falling down.

Robot and method of controlling balance thereof

A finite state machine (FSM)-based biped robot, to which a limit cycle is applied to balance the robot right and left on a two-dimensional space, and a method of controlling balance of the robot. In order to balance an FSM-based biped robot right and left on a two-dimensional space, control angles to balance the robot according to states of the FSM-based biped robot are set. The range of the control angles is restricted to reduce the maximum right and left moving distance of the biped robot and thus to reduce the maximum right and left moving velocity of the biped robot, thereby reducing the sum total of the moments of the biped robot and thus allowing the ankles of the biped robot to balance the biped robot to be controlled, and causing the soles of the feet of the biped robot to parallel contact the ground.

Disclosed is a method of generating a hip trajectory of a biped walking robot to allow the robot to stably walk on a two-dimensional space without falling down. An angular velocity of a hip of a swinging leg is obtained by measuring the angle/angular velocity of an ankle pitch joint part of a supporting leg in real time when the robot walks on the two-dimensional space, and desired trajectories of the ankle and the hip are generated based on the angular velocity of the ankle of the supporting leg and the angular velocity of the hip of the swinging leg.

Robot and method of controlling the same

Disclosed is a method of defining control angles to use a limit cycle in order to balance a biped walking robot on a three-dimensional space. In order to balance an FSM-based biped walking robot right and left on a three-dimensional space, limit cycle control angles to balance the robot according to states of the FSM-based robot are set on the three-dimensional space, and the limit cycle control angles on the three-dimensional space are controlled using a sinusoidal function to allow relations between the control angles and control angular velocities to form a stable closed loop within a limit cycle.

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Seoul, South Korea

Ho Seong Kwak