A robot and method of controlling the same are provided. The robot includes a hand and an arm, a grip sensor unit configured to enable the hand to sense an object, a grip control unit configured to determine whether the hand grips the object from gripping information obtained from the grip sensor unit, select an object-based coordinate to control the hand and the arm based on a motion of the object or an independent coordinate to independently control the hand and the arm according to a result of the determination, and control the hand and the arm based on the selected coordinate, and a coordinate transformation unit configured to calculate a position and a direction of a virtual object based on the object-based coordinate, and deliver information about the position and the direction of the virtual object calculated to the grip control unit.

Robot and control method thereof

A method of controlling a robot using a human-robot interface apparatus in two-way wireless communication with the robot includes displaying on a display interface a two-dimensional image, an object recognition support tool library, and an action support tool library. The method further includes receiving a selected object image representing a target object, comparing the selected object image with a plurality of registered object shape patterns, and automatically recognizing a registered object shape pattern associated with the target object if the target object is registered with the human-robot interface. The registered object shape pattern may be displayed on the display interface, and a selected object manipulation pattern selected from the action support tool library may be received. Control signals may be transmitted to the robot from the human-robot interface. Embodiments may also include human-robot apparatuses (HRI) programmed to remotely control a robot.

Human-Robot Interface Apparatuses and Methods of Controlling Robots

Robotic arms or manipulators can be utilized to grasp inventory items within an inventory system. Information about an item to be grasped can be detected and/or accessed from one or more databases to determine a grasping strategy for grasping the item with a robotic arm or manipulator. For example, one or more accessed databases can contain information about the item, characteristics of the item, and/or similar items, such as information indicating grasping strategies that have been successful or unsuccessful for such items in the past.

Robotic grasping of items in inventory system

Robotic arms may be utilized to grasp inventory items within an inventory system. Information about an inventory item to be grasped can be detected and used to determine a grasping strategy in conjunction with information from a database. Instructions for grasping an inventory item can be generated based on the detected information and the database.

Generating robotic grasping instructions for inventory items

Example systems and methods may be used to determine a trajectory for moving an object using a robotic device. One example method includes determining a plurality of possible trajectories for moving an object with an end effector of a robotic manipulator based on a plurality of possible object measurements. The method may further include causing the robotic manipulator to pick up the object with the end effector. After causing the robotic manipulator to pick up the object with the end effector, the method may also include receiving sensor data from one or more sensors indicative of one or more measurements of the object. Based on the received sensor data, the method may additionally include selecting a trajectory for moving the object from the plurality of possible trajectories. The method may further include causing the robotic manipulator to move the object through the selected trajectory.

Real-Time Determination of Object Metrics for Trajectory Planning

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

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.

Guochunxu

Papers

Method and apparatus to plan motion path of robot

Path planning apparatus and method of Robot