Samsung Electronics Co., Ltd.

San Lim

Kyung Shik Roh

Myung Hee Kim

Bok Man Lim

Young Bo Shim

Guo Chunxu

Kwang Kyu Lee

Kyung Won Moon

Woong Kwon

Seung Yong Hyung

Hyun Kyu Kim

Sukjune Yoon

Guochunxu

Guo Chun Xu

A suitable waypoint is selected using a goal score, a section from a start point to a goal point through the waypoint is divided into a plurality of sections based on the waypoint with a solution of inverse kinematics, and trees are simultaneously expanded in the sections using a Best First Search & Rapidly Random Tree (BF-RRT) algorithm so as to generate a path. By this configuration, a probability of local minima occurring is decreased compared with the case where the waypoint is randomly selected. In addition, since the trees are simultaneously expanded in the sections each having the waypoint with a solution of inverse kinematics, the solution may be rapidly obtained. A time consumed to search for an optimal motion path may be shortened and path plan performance may be improved.

Method and apparatus to plan motion path of robot

A method to control medical equipment that moves along at least one axis or performs joint movement is provided. While the medical equipment is passively moved as operated by the operator, the operation intention of the operator is determined using a force sensor, a torque sensor, or the like, and motor control is performed taking into consideration the determined operation intention to reduce load (or drive power) of the operator. To accomplish this, the method determines a direction and magnitude of force that an operator applies to the medical equipment to move the medical equipment and generates auxiliary force having a magnitude proportional to the force applied by the operator and having the same direction as the direction of the force applied by the operator such that the medical equipment may be moved.

Method to control medical equipment

A robot and a control method thereof. The robot has plural robot arms, each having at least one joint unit and a hand, and the control method includes calculating in advance and storing a plurality of grasp poses to generate grasp routes, sensing respective orientations of an object, the robot arms, and an obstacle, selecting one grasp pose from among the plurality of grasp poses by judging a movable angle range of the at least one joint unit, whether or not the object collides with the obstacle, and self-collision between the robot hands based on the sensed respective orientations, and generating grasp routes using the selected grasp pose. In the control method, the plurality of feasible grasp poses is calculated in advance and then stored, thereby rapidly and stably performing grasping of the object.

Robot and control method thereof

Disclosed herein are a path planning apparatus and a method for a robot to plan an optimal path along which a manipulator of a robot moves to a goal point from a start point. An obstacle within a prescribed angle on a straight line connecting a start point and a goal point is recognized as a middle point in a configuration space and arbitrary points separated from the middle point by a prescribed distance are selected. Among the selected points, arbitrary points which can directly connect the start point and the goal point without passing the obstacle are selected as waypoints to map a new middle node. A path is extended via the middle node and extension of a tree in a wrong direction is minimized so that the manipulator is not struck at local minima without depending greatly on a goal score, thereby improving the performance of path planning and rapidly searching for a path.

Path planning apparatus and method for robot

A robot and a method of controlling the same are disclosed. The robot derives a maximum dynamic performance capability using a specification of an actuator of the robot. The control method includes forming a first bell-shaped velocity profile in response to a start time and an end time of a motion of the robot, calculating a value of an objective function having a limited condition according to the bell-shaped velocity profile, and driving a joint in response to a second bell-shaped velocity profile that minimizes the objective function having the limited condition.

Robot and control method of optimizing robot motion performance thereof

A robot and a control method thereof. The robot has plural robot arms, each having at least one joint unit and a hand, and the control method includes dividing an object into target and feasible grasp regions and storing grasp policies respectively corresponding to the grasp regions, sensing respective orientations of the object, the at least one joint unit, and an obstacle, judging whether or not grasping of the target grasp region is feasible after sensing the orientations, generating a grasp route using the grasp policy for the target grasp region, upon judging that grasping of the target grasp region is feasible, and generating a grasp route using the grasp policy for one of the feasible grasp regions, upon judging that grasping of the target grasp region is not feasible, and controlling the at least one joint unit and the hand to trace the generated grasp route.

A robot and a control method thereof which execute grasp planning of hands of the robot separately from motion planning of arms of the robot so as to apply a result of the grasp planning of the hands of the robot to the motion planning of the arms of the robot, and thus more rapidly, naturally and stably grasp an object in a grasp manner suited to a desired working purpose and judge whether or not grasping is executable prior to the motion planning of the arms of the robot, thereby more stably grasping the object.

If a manipulator of a robot falls in local minima when expanding a node to generate a path, the manipulator may efficiently escape from local minima by any one of a random escaping method and a goal function changing method or a combination thereof to generate the path. When the solution of inverse kinematics is not obtained due to local minima or when the solution of inverse kinematics is not obtained due to an inaccurate goal function, an optimal motion path to avoid an obstacle may be efficiently searched for. The speed to obtain the solution may be increased and thus the time consumed to search for the optimal motion path may be shortened.

An apparatus, method and computer-readable medium planning a path of a robot by planning an optimal path while satisfying a dynamic constraint. In a process of searching for a motion path from a start point to a goal point while extending a tree from a start point of a configuration space to generate a path, along which a manipulator of the robot is moved in order to perform a task, an optimal path is generated responsive to the dynamic constraint of the manipulator of the robot to generate stable motion satisfying momentum and Zero Moment Position (ZMP) constraint. Accordingly, path planning performance is improved and a path satisfying a kinematic constraint and a dynamic constraint is rapidly obtained.

Path planning apparatus of robot and method and computer-readable medium thereof

Disclosed is a humanoid robot apparatus, method and computer-readable medium thereof related to lifting and holding a heavy object having a weight unknown to the robot, by measuring an external force acting on the robot. Linear momentum and rotational momentum are compensated for stepwise according to the degree of stability of the robot which is determined based on the measured external force. Accordingly, the robot stably lifts and holds the object without losing its balance.

Apparatus and method for stabilizing humanoid robot

A robot and a control method thereof. The control method includes generating and storing plural grasping motions corresponding to data of a target object, selecting a grasping motion corresponding to a grasping purpose of the target object among the plural grasping motions, generating a path of arms corresponding to the selected grasping motion, calculating torques to track the path of the arms, and outputting the torques toward the arms so as to perform movement of the arms and grasping of the target object. The grasping motion path corresponding to the grasping purpose is generated and the path of arms is generated, thereby reducing overall calculation time during grasping of the target object to increase calculating efficiency, minimizing generation of the path of the arms, and allowing an arm path calculating process to be performed at the late stage of a grasping control process to improve grasping performance.

Disclosed are a path planning apparatus of a robot, which generates a path plan to control movements of the robot, and a method thereof. An improved RRT algorithm is employed, when a tree is extended in a configuration space so as to satisfy a constraint, and thus steeply bent or roundabout portions of the tree are reduced.

Path planning apparatus of robot and method thereof

An X-ray apparatus includes guide rails arranged along different axes, an X-ray tube movably mounted on at least one of the guide rails and adapted to be moved upon user force, motors provided at the guide rails to move the X-ray tube, a force detection unit to detect the user force, and a control unit to determine a direction of force and drive the motor provided at the guide rail on an axis corresponding to the determined direction. The X-ray apparatus may be easily moved based on force detection and velocity control of the motor, thereby achieving more precise and safe movement in a desired direction. Accordingly, the X-ray apparatus may provide rapid and efficient medical examination and treatment in hospitals.

X-ray apparatus and control method thereof

A path planning apparatus of a robot smoothes a motion path while satisfying a constraint. In a configuration space where a manipulator of a robot performs a task, a Rapidly-exploring Random Tree (RRT) path which extends from a start point and reaches a goal point may be smoothed while satisfying a constraint to generate a stable motion path. Accordingly, path planning performance is improved and an optimal path satisfying a kinematic constraint may be rapidly obtained.

A path planning apparatus and method of a robot, in which a path, along which the robot accesses an object to grasp the object, is planned. The path planning method includes judging whether or not a robot hand of a robot collides with an obstacle when the robot hand moves along one access path candidate selected from plural access path candidates along which the robot hand accesses an object to grasp the object, calculating an access score of the selected access path candidate when the robot hand does not collide with the obstacle, and determining an access path plan using the access score of the selected access path candidate.

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Suwon-si, South Korea

San Lim