Samsung Electronics Co., Ltd.

Smasung Electronics Co., Ltd.

Woong Kwon

Kyung Shik Roh

Kyung-shik Roh

Woo-sup Han

Young-Bo Shim

Ho Seong Kwak

Seung Yong Hyung

Ju Suk Lee

Min Hyung Lee

Hyun Kyu Kim

Kwang Kyu Lee

Joong Kyung Park

Jae Ho Park

Ki-cheol Park

Sang-on Choi

Yeon-taek Oh

Chang Hyun Roh

Sukjune Yoon

Ji Young Kim

Joo Hyung Kim

Suk-han Lee

Bok Man Lim

Jae-Won Lee

Suk June Yoon

Young Bo Shim

Dong-Yoon Kim

Junho Park

Sung Hwan Ahn

San Lim

No San Kwak

Minsu Lee

Kyungshik Roh

Kyoung-sig Roh

Seung Ki Min

Sang-min Suh

Sunggu Kwon

Woo Seok Han

Tae Jun Sang

Boldyrev Serguei

Joo Hyang Kim

Gurel Ogan

Dong-mok Shin

Jawon Seo

Kim Hyun Kyu Kyu

Roh Kyung Shik Shik

An unmanned aerial vehicle may include: a sensor part configured to acquire inertia information or position information of the unmanned aerial vehicle; and a controller. The controller is configured to estimate the position of the unmanned aerial vehicle by applying the information acquired by the sensor part to an extended Kalman filter and control movement of the unmanned aerial vehicle, based on the estimated position of the unmanned aerial vehicle. The sensor part includes: an inertia sensor configured to acquire the inertia information of the unmanned aerial vehicle; a tag recognition sensor configured to recognize a tag attached to a rack and acquire absolute position information of the unmanned aerial vehicle; and an image sensor attached to the unmanned aerial vehicle so as to acquire an image of the movement environment of the unmanned aerial vehicle.

Multi-sensor-based unmanned aerial vehicle and method for controlling same

A method for controlling a surgical robot includes calculating an external force acting on a robot arm mounted with a surgical instrument, filtering the external force acting on the robot arm when a central point of an incision is set, calculating a virtual force to enable the surgical instrument which is positioned away from the central point of the incision to return to the central point of the incision, and applying the calculated virtual force to the filtered external force, to control movement of the robot arm. As a result, it is possible to compactly design the surgical robot and thereby reduce the volume of the surgical robot.

Surgical robot and control method thereof

A robot may include: a multi-tool module having redundancy, the multi-tool module including a guide tube and a plurality of tools configured to operate while interacting with the guide tube and extended from the guide tube; and/or a controller configured to generate a control signal regarding motion of the multi-tool module in a joint space based on motion instruction information regarding distal ends of the plurality of tools in a task space. The redundancy may reflect that a number of degrees of freedom of the multi-tool module in the joint space is greater than a number of degrees of freedom of the task space. The control signal may be generated using the redundancy.

Robots comprising multi-tool modules having redundancy and methods of controlling the same

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.

Walking robot and control method thereof

A method of tracking a moving object includes measuring displacement of an object to be tracked, obtaining a particle of the object to be tracked using the measured displacement, and tracking the object using pose information of the object in an image thereof and the obtained particle. A control apparatus includes an imaging module to perform imaging of an object and generates an image, and a tracking unit to acquire displacement and pose information of the object using the generated image of the object, to set a particle of the object using the acquired displacement of the object, and to track the object using the pose information of the object and the particle.

Method of tracking moving object, method of determining display state of moving object, and control apparatus for tracking moving object

A medical robot system and a method for controlling the same. The medical robot system includes a trocar, inserted into an incision of a patient, to guide a surgical apparatus and transmit at least one of position information of the surgical apparatus and pressure information of the surgical apparatus, and a console to display a screen including at least one of the position information and the pressure information.

Medical robot system and method for controlling the same

A medical robot system and a method to control the medical robot system are used to detect position information of a surgical instrument in an incised region, thereby improving the safety of robotic surgery. A surgical instrument may be inserted in a through-hole of a trocar inserted into an incised region of a patient. The medical robotic system includes a surgical instrument position detection apparatus to detect position information of the surgical instrument in the through-hole of the trocar, when the surgical instrument is inserted into the through-hole. The medical robotic system further includes a console to control an operation of a surgical robot having the surgical instrument, based on the detected position information of the surgical instrument.

Medical robotic system including surgical instrument position detection apparatus and control method thereof

A robot control method of controlling a robot that has a flexible module including 'n' first nodes participating in pan motion and 'n' second nodes participating in tilt motion may include: measuring a translational motion distance, a pan motion angle, and a tilt motion angle of the flexible module; calculating state vectors of the &#x2018;n&#x2019; first nodes and the &#x2018;n&#x2019; second nodes using the measured translational motion distance; calculating operating angle distribution rates of the &#x2018;n&#x2019; first nodes and operating angle distribution rates of the &#x2018;n&#x2019; second nodes using the calculated state vectors of the &#x2018;n&#x2019; first nodes and the calculated state vectors of the &#x2018;n&#x2019; second nodes; and/or calculating operating angles of the &#x2018;n&#x2019; first nodes and operating angles of the &#x2018;n&#x2019; second nodes using the calculated operating angle distribution rates and the measured pan motion angle and tilt motion angle.

Robot control methods

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

Disclosed herein are a walking robot which controls balance using an ankle when the robot walks, and a method of controlling balance thereof. In a method of determining an angle of an ankle joint without solving a complicated dynamic equation such that the robot stays balanced so as not to fall, an angle of the ground is fixed as a reference angle for balance control of the robot such that the robot stably walks while maintaining the same balance control performance even when the ground is inclined. When the robot moves slowly or quickly, the robot may maintain balance. Since the robot stays balanced using the ankle of a stance leg even when the ground is inclined, the method is simple and is applied to a robot having joints with 6 degrees of freedom.

Walking robot and method of controlling balance thereof

Disclosed are a robot, which generates a stable walking pattern similar to that of a human, and a method of controlling walking thereof. The method includes generating a walking pattern of a leg connected to a torso of the robot; detecting whether or not a singularity pose of the leg walking according to the walking pattern is generated; and changing the walking pattern by adjusting a yaw direction angle of the torso when the singularity pose is generated.

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.

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 walking control apparatus of a robot includes joint portions provided in each of a plurality of legs of the robot, a state database to store state data of each of the legs and state data of the joint portions corresponding to the state of each of the legs, when the robot walks, a position instruction unit to store desired positions corresponding to the state data of the joint portions, an inclination sensing unit to sense an inclination of an upper body of the robot, a torque calculator to calculate torques using the inclination of the upper body and the desired positions, and a servo controller to output the torques to the joint portions to control the walking of the robot. Since the robot walks by Finite State Machine (FSM) control and torque servo control, the rotation angles of the joint portions do not need to be accurately controlled. Thus, the robot walks with low servo gain and energy consumption is decreased. Since the robot walks with low servo gain, each of the joints has low rigidity and thus shock generated by collision with surroundings is decreased.

Walking control apparatus of robot and method of controlling the same

Disclosed herein are a feature point used to localize an image-based robot and build a map of the robot and a method of extracting and matching an image patch of a three-dimensional (3D) image, which is used as the feature point. It is possible to extract the image patch converted into the reference image using the position information of the robot and the 3D position information of the feature point. Also, it is possible to obtain the 3D surface information with the brightness values of the image patches to obtain the match value with the minimum error by a 3D surface matching method of matching the 3D surface information of the image patches converted into the reference image through the ICP algorithm.

Growing community of inventors

Seongnam-si, South Korea

Woong Kwon